diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 40bc01ff8..9d6a89983 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -181,11 +181,6 @@ jobs: run: | if [ "$RUNNER_OS" == "Windows" ]; then uv pip install msvc-runtime - uv pip install -U torch==2.8.0+cu129 torchaudio==2.8.0+cu129 --index-url https://download.pytorch.org/whl/cu129 - uv pip install nvidia-cublas-cu12==12.9.1.4 nvidia-cuda-cupti-cu12==12.9.79 nvidia-cuda-runtime-cu12==12.9.79 --extra-index-url https://pypi.ngc.nvidia.com - - uv cache clean - uv run pip cache purge fi shell: bash @@ -264,7 +259,6 @@ jobs: name: Buzz-${{ runner.os }}-${{ runner.arch }} path: | dist/Buzz*-windows.exe - dist/Buzz*-windows-*.bin dist/Buzz*-mac.dmg dist/Buzz*.AppImage @@ -365,7 +359,6 @@ jobs: files: | Buzz*-unix.tar.gz Buzz*.exe - Buzz*.bin Buzz*.dmg Buzz*.AppImage diff --git a/Buzz.spec b/Buzz.spec index 173d8c2bc..1f62e34d7 100644 --- a/Buzz.spec +++ b/Buzz.spec @@ -94,6 +94,30 @@ else: binaries.append(("buzz/whisper_cpp/*", "buzz/whisper_cpp")) +# Bundle a standalone Python 3.12 interpreter for runtime pip installs (e.g. CUDA). +# We copy python.exe, DLLs, and the stdlib from the uv-managed base interpreter. +if platform.system() == "Windows": + import sys as _sys + _base = _sys.base_prefix # e.g. .../uv/python/cpython-3.12.12-windows-x86_64-none + _py_dest = "python" + if os.path.isfile(os.path.join(_base, "python.exe")): + binaries.append((os.path.join(_base, "python.exe"), _py_dest)) + binaries.append((os.path.join(_base, "python3.dll"), _py_dest)) + binaries.append((os.path.join(_base, "python312.dll"), _py_dest)) + for _vcrt in ("vcruntime140.dll", "vcruntime140_1.dll"): + _vcrt_path = os.path.join(_base, _vcrt) + if os.path.isfile(_vcrt_path): + binaries.append((_vcrt_path, _py_dest)) + # Bundle DLLs directory (C extensions like _ssl, _socket, etc.) + _dlls_dir = os.path.join(_base, "DLLs") + if os.path.isdir(_dlls_dir): + for _f in os.listdir(_dlls_dir): + binaries.append((os.path.join(_dlls_dir, _f), os.path.join(_py_dest, "DLLs"))) + # Bundle standard library + datas.append((os.path.join(_base, "Lib"), os.path.join(_py_dest, "Lib"))) + else: + print(f"WARNING: Could not find bundleable Python at {_base}") + if platform.system() == "Windows": datas += [("dll_backup", "dll_backup")] datas += collect_data_files("msvc-runtime") diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py new file mode 100644 index 000000000..213098d3b --- /dev/null +++ b/buzz/cuda_manager.py @@ -0,0 +1,264 @@ +""" +Utilities for checking and installing CUDA support at runtime. +""" + +import logging +import os +import subprocess +import sys +from pathlib import Path +from typing import Any + +logger = logging.getLogger(__name__) + +# Pinned versions matching uv.lock for the cu129 build of PyTorch. +# All packages are served from the PyTorch wheel index; pip selects the +# correct platform wheel automatically (Linux-only packages have no +# Windows wheel and are silently skipped by pip on Windows). +CUDA_INDEX_URL = "https://download.pytorch.org/whl/cu129" +CUDA_TORCH_PACKAGES = [ + "torch==2.8.0+cu129", + "torchaudio==2.8.0+cu129", +] + +# NVIDIA runtime libraries — sourced from the official NVIDIA PyPI index. +# Versions are pinned to those resolved in uv.lock to prevent accidental upgrades. +# Packages that have wheels for both Linux and Windows (verified via uv.lock). +CUDA_NVIDIA_PACKAGES_COMMON = [ + "nvidia-cublas-cu12==12.9.1.4", + "nvidia-cudnn-cu12==9.10.2.21", +] + +# Packages that only have Linux (manylinux) wheels in uv.lock. +CUDA_NVIDIA_PACKAGES_LINUX = [ + "nvidia-cuda-cupti-cu12==12.9.79", + "nvidia-cuda-nvrtc-cu12==12.9.86", + "nvidia-cuda-runtime-cu12==12.9.79", + "nvidia-cufft-cu12==11.4.1.4", + "nvidia-cufile-cu12==1.14.1.1", + "nvidia-curand-cu12==10.3.10.19", + "nvidia-cusolver-cu12==11.7.5.82", + "nvidia-cusparse-cu12==12.5.10.65", + "nvidia-cusparselt-cu12==0.7.1", + "nvidia-nccl-cu12==2.27.3", + "nvidia-nvjitlink-cu12==12.9.86", + "nvidia-nvtx-cu12==12.9.79", +] + + +def is_snap() -> bool: + """Returns True if running inside a Snap package.""" + return "SNAP" in os.environ + + +def is_flatpak() -> bool: + """Returns True if running inside a Flatpak sandbox.""" + return "FLATPAK_ID" in os.environ + + +def should_offer_cuda_prompt() -> bool: + """Returns True on platforms where in-app CUDA installation is supported.""" + if sys.platform == "win32": + return True + if sys.platform == "linux": + return is_snap() or is_flatpak() + return False + + +def is_cuda_torch_installed() -> bool: + """Returns True if torch with CUDA support is available.""" + try: + import torch + cuda_available = torch.cuda.is_available() + logger.info( + "CUDA check: torch version=%s, cuda_built=%s, cuda_available=%s, cuda_version=%s", + torch.__version__, + torch.version.cuda, + cuda_available, + torch.version.cuda if cuda_available else "N/A", + ) + if not cuda_available and torch.version.cuda: + # CUDA was compiled in but is not available at runtime — likely a DLL loading issue + logger.warning( + "CUDA check: torch was built with CUDA %s but cuda is not available. " + "This usually means CUDA DLLs failed to load. torch.cuda.is_available() returned False.", + torch.version.cuda, + ) + return cuda_available + except ImportError: + logger.info("CUDA check: torch is not installed") + return False + + +def is_nvidia_gpu_present() -> bool: + """Returns True if an NVIDIA GPU is detected. + + Tries nvidia-smi first, then falls back to /proc/driver/nvidia/version + which is accessible inside Snap and Flatpak sandboxes without executing + an external binary. + """ + try: + result = subprocess.run( + ["nvidia-smi"], + capture_output=True, + timeout=5, + **_subprocess_hide_window_kwargs(), + ) + if result.returncode == 0: + return True + except (FileNotFoundError, subprocess.TimeoutExpired, OSError): + pass + + # Fallback: kernel driver version file — present when NVIDIA driver is loaded + return Path("/proc/driver/nvidia/version").exists() + + +def _in_virtualenv() -> bool: + """Returns True if running inside a virtualenv or uv venv.""" + return sys.prefix != sys.base_prefix or "VIRTUAL_ENV" in os.environ + + +def _get_install_target() -> list[str]: + """Return pip target flags for the current environment. + + In Snap/Flatpak the Python interpreter's user-site is disabled or points to + the read-only bundle, so we use --target with an explicit writable path. + In a virtualenv --user is forbidden; packages go into the venv directly. + Otherwise we use --user so packages land in ~/.local. + """ + if is_snap(): + snap_user_data = os.environ.get("SNAP_USER_DATA") + if snap_user_data: + target = str(Path(snap_user_data) / "cuda_packages") + else: + target = str(Path.home() / ".local" / "share" / "buzz" / "cuda_packages") + Path(target).mkdir(parents=True, exist_ok=True) + return ["--target", target] + if is_flatpak(): + xdg_data = os.environ.get("XDG_DATA_HOME", str(Path.home() / ".local" / "share")) + target = str(Path(xdg_data) / "buzz" / "cuda_packages") + Path(target).mkdir(parents=True, exist_ok=True) + return ["--target", target] + if _in_virtualenv(): + return [] + return ["--user"] + + +def install_cuda(progress_callback=None): + """ + Install CUDA-enabled torch and nvidia libraries. + + Args: + progress_callback: Optional callable(str) called with status messages. + """ + def report(msg): + logger.info(msg) + if progress_callback: + progress_callback(msg) + + target_flags = _get_install_target() + + nvidia_packages = CUDA_NVIDIA_PACKAGES_COMMON + ( + CUDA_NVIDIA_PACKAGES_LINUX if sys.platform != "win32" else [] + ) + report("Installing NVIDIA CUDA libraries...") + _pip_install( + nvidia_packages, + extra_args=["--index-url", CUDA_INDEX_URL] + target_flags, + progress_callback=report, + ) + + report("Installing CUDA-enabled PyTorch...") + _pip_install( + CUDA_TORCH_PACKAGES, + extra_args=["--index-url", CUDA_INDEX_URL, "--no-deps"] + target_flags, + progress_callback=report, + ) + + report("CUDA installation complete. Please restart Buzz to enable GPU acceleration.") + + +def _ensure_pip(python: str) -> list[str]: + """Return [python, '-m', 'pip'], bootstrapping pip via ensurepip if needed.""" + hide_kwargs = _subprocess_hide_window_kwargs() + pip_cmd = [python, "-m", "pip"] + probe = subprocess.run(pip_cmd + ["--version"], capture_output=True, timeout=15, **hide_kwargs) + if probe.returncode == 0: + return pip_cmd + logger.info("pip not found for %s, bootstrapping via ensurepip...", python) + bootstrap = subprocess.run( + [python, "-m", "ensurepip", "--upgrade"], + capture_output=True, timeout=60, **hide_kwargs, + ) + if bootstrap.returncode != 0: + raise RuntimeError( + f"pip is not available for {python} and ensurepip failed. " + "Please install pip manually and try again." + ) + return pip_cmd + + +def _get_pip_cmd() -> list[str]: + """Return a [python, '-m', 'pip'] command that is guaranteed to work. + + Handles three environments: + - PyInstaller frozen bundle: sys.executable is the app binary; find a real + Python interpreter in PATH instead. + - Normal Python without pip (uv venv, minimal snap/flatpak image): bootstrap + pip via ensurepip, then retry. + - Normal Python with pip: use sys.executable directly. + """ + import shutil + + # Frozen PyInstaller bundle — sys.executable can't run -m pip. + # Use the bundled Python 3.12 interpreter shipped alongside the app. + if getattr(sys, "frozen", False): + # PyInstaller extracts bundled data to sys._MEIPASS (_internal dir) + internal_dir = Path(getattr(sys, "_MEIPASS", Path(sys.executable).parent)) + python_name = "python.exe" if sys.platform == "win32" else "python3" + bundled_python = internal_dir / "python" / python_name + if bundled_python.is_file(): + return _ensure_pip(str(bundled_python)) + # Fallback: look in PATH + for candidate in ("python3.12", "python3", "python"): + python = shutil.which(candidate) + if python: + return _ensure_pip(python) + raise RuntimeError( + "Could not find a Python interpreter. " + "Please install Python 3.12 and try again." + ) + + return _ensure_pip(sys.executable) + + +def _subprocess_hide_window_kwargs() -> dict[str, Any]: + """Return kwargs to hide the console window on Windows.""" + if sys.platform == "win32": + si = subprocess.STARTUPINFO() + si.dwFlags |= subprocess.STARTF_USESHOWWINDOW + si.wShowWindow = subprocess.SW_HIDE + return {"startupinfo": si, "creationflags": subprocess.CREATE_NO_WINDOW} + return {} + + +def _pip_install(packages, extra_args=None, progress_callback=None): + cmd = _get_pip_cmd() + ["install", "--break-system-packages"] + packages + if extra_args: + cmd += extra_args + + process = subprocess.Popen( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + text=True, + **_subprocess_hide_window_kwargs(), + ) + for line in process.stdout: + line = line.rstrip() + if line and progress_callback: + progress_callback(line) + + process.wait() + if process.returncode != 0: + raise RuntimeError(f"pip install failed with exit code {process.returncode}") diff --git a/buzz/cuda_setup.py b/buzz/cuda_setup.py index d99b402ef..248fa5a94 100644 --- a/buzz/cuda_setup.py +++ b/buzz/cuda_setup.py @@ -6,7 +6,8 @@ pip packages. On Windows: Uses os.add_dll_directory() to add library paths -On Linux: Uses ctypes to preload libraries (LD_LIBRARY_PATH is read at process start) +On Linux: Re-execs the process with LD_LIBRARY_PATH set when cuda_packages are present, + then preloads libraries with RTLD_GLOBAL for any remaining gaps. On macOS: No action needed (CUDA not supported) """ @@ -21,16 +22,53 @@ logger = logging.getLogger(__name__) -def _get_nvidia_package_lib_dirs() -> list[Path]: - """Find all nvidia package library directories in site-packages.""" - lib_dirs = [] +def _get_cuda_target_dir() -> Path | None: + """Return the --target directory used during CUDA install for snap/flatpak, or None.""" + snap_user_data = os.environ.get("SNAP_USER_DATA") + if snap_user_data: + return Path(snap_user_data) / "cuda_packages" + flatpak_id = os.environ.get("FLATPAK_ID") + if flatpak_id: + xdg_data = os.environ.get("XDG_DATA_HOME", str(Path.home() / ".local" / "share")) + return Path(xdg_data) / "buzz" / "cuda_packages" + return None - # Find site-packages directories + +def _get_site_packages_dirs() -> list[Path]: + """Return all site-packages directories, including user site-packages.""" site_packages_dirs = [] + import site + + # For snap/flatpak, packages are installed to an explicit --target directory + cuda_target = _get_cuda_target_dir() + if cuda_target and cuda_target.exists(): + if str(cuda_target) not in sys.path: + sys.path.insert(0, str(cuda_target)) + site_packages_dirs.append(cuda_target) + logger.info("CUDA target dir (snap/flatpak): %s", cuda_target) + + user_site = site.getusersitepackages() + if user_site: + user_site_path = Path(user_site) + site_packages_dirs.append(user_site_path) + logger.info("User site-packages: %s (exists=%s)", user_site_path, user_site_path.exists()) + # Ensure user site-packages is on sys.path so torch can be imported + if str(user_site_path) not in sys.path and user_site_path.exists(): + sys.path.insert(0, str(user_site_path)) + logger.info("Added user site-packages to sys.path: %s", user_site_path) for path in sys.path: if "site-packages" in path: site_packages_dirs.append(Path(path)) + return site_packages_dirs + + +def _get_nvidia_package_lib_dirs() -> list[Path]: + """Find all nvidia package library directories in site-packages.""" + lib_dirs = [] + + site_packages_dirs = _get_site_packages_dirs() + # Also check relative to the current module for frozen apps if getattr(sys, "frozen", False): # For frozen apps, check the _internal directory @@ -47,7 +85,7 @@ def _get_nvidia_package_lib_dirs() -> list[Path]: if bin_subdir.exists(): lib_dirs.append(bin_subdir) - # Check each site-packages for nvidia packages + # Check each site-packages for nvidia packages AND torch/lib for sp_dir in site_packages_dirs: nvidia_dir = sp_dir / "nvidia" if nvidia_dir.exists(): @@ -60,6 +98,10 @@ def _get_nvidia_package_lib_dirs() -> list[Path]: bin_subdir = pkg_dir / "bin" if bin_subdir.exists(): lib_dirs.append(bin_subdir) + # torch/lib contains torch_cuda and other CUDA-related DLLs + torch_lib_dir = sp_dir / "torch" / "lib" + if torch_lib_dir.exists(): + lib_dirs.append(torch_lib_dir) return lib_dirs @@ -67,48 +109,145 @@ def _get_nvidia_package_lib_dirs() -> list[Path]: def _setup_windows_dll_directories(): """Add nvidia library directories to Windows DLL search path.""" lib_dirs = _get_nvidia_package_lib_dirs() + if not lib_dirs: + logger.warning("CUDA setup: no nvidia/torch library directories found") for lib_dir in lib_dirs: try: os.add_dll_directory(str(lib_dir)) + logger.info("CUDA setup: added DLL directory: %s", lib_dir) except (OSError, AttributeError) as e: - pass + logger.warning("CUDA setup: failed to add DLL directory %s: %s", lib_dir, e) + +def _collect_cuda_lib_dirs(cuda_target: Path) -> list[str]: + """Return all library directories under cuda_packages as strings.""" + lib_dirs: list[str] = [] -def _preload_linux_libraries(): - """Preload CUDA libraries on Linux using ctypes. + torch_lib = cuda_target / "torch" / "lib" + if torch_lib.exists(): + lib_dirs.append(str(torch_lib)) + + nvidia_dir = cuda_target / "nvidia" + if nvidia_dir.exists(): + for pkg_dir in sorted(nvidia_dir.iterdir()): + if pkg_dir.is_dir(): + lib_subdir = pkg_dir / "lib" + if lib_subdir.exists(): + lib_dirs.append(str(lib_subdir)) + + return lib_dirs - On Linux, LD_LIBRARY_PATH is only read at process start, so we need to - manually load the libraries using ctypes before torch tries to load them. + +def _collect_site_packages_cuda_lib_dirs() -> list[str]: + """Return all nvidia/torch lib dirs found in any site-packages directory.""" + lib_dirs: list[str] = [] + for sp_dir in _get_site_packages_dirs(): + torch_lib = sp_dir / "torch" / "lib" + if torch_lib.exists(): + lib_dirs.append(str(torch_lib)) + nvidia_dir = sp_dir / "nvidia" + if nvidia_dir.exists(): + for pkg_dir in sorted(nvidia_dir.iterdir()): + if pkg_dir.is_dir(): + lib_subdir = pkg_dir / "lib" + if lib_subdir.exists(): + lib_dirs.append(str(lib_subdir)) + return lib_dirs + + +def _setup_linux_cuda(): + """Set up CUDA libraries on Linux. + + LD_LIBRARY_PATH is read by the dynamic linker only at process start, so + preloading individual .so files with ctypes is fragile: if *any* library + in the dependency chain (e.g. libcusparseLt.so.0 → libcuda.so.1) is not + yet in the search path, the load silently fails, and later imports of torch + or torchaudio crash with "cannot open shared object file". + + The reliable fix is to re-exec the current process with LD_LIBRARY_PATH + extended to include all cuda lib dirs. After re-exec the dynamic linker + finds every CUDA library via the standard search path for the entire + lifetime of the process. + + A sentinel env var prevents infinite re-exec loops. """ - lib_dirs = _get_nvidia_package_lib_dirs() + # Ensure cuda_packages (snap/flatpak) is on sys.path so Python can import torch + _get_site_packages_dirs() - # Libraries to skip - NVBLAS requires special configuration and causes issues - skip_patterns = ["libnvblas"] + if os.environ.get("BUZZ_CUDA_SETUP_DONE"): + logger.info("CUDA setup: already done (sentinel set), proceeding") + return + + # Never re-exec inside a multiprocessing worker — it would destroy the IPC pipe. + # The parent process already set LD_LIBRARY_PATH before spawning workers. + import multiprocessing + if multiprocessing.parent_process() is not None: + logger.debug("CUDA setup: skipping re-exec in worker subprocess") + return + + # Collect lib dirs from snap/flatpak cuda_packages OR regular site-packages + cuda_target = _get_cuda_target_dir() + if cuda_target is not None and cuda_target.exists(): + extra_dirs = _collect_cuda_lib_dirs(cuda_target) + else: + extra_dirs = _collect_site_packages_cuda_lib_dirs() - loaded_libs = set() + if not extra_dirs: + logger.debug("CUDA setup: no nvidia/torch lib dirs found, skipping") + return + current_ld = os.environ.get("LD_LIBRARY_PATH", "") + new_ld = ":".join(extra_dirs) + if current_ld: + new_ld = new_ld + ":" + current_ld + os.environ["LD_LIBRARY_PATH"] = new_ld + os.environ["BUZZ_CUDA_SETUP_DONE"] = "1" + + # Re-exec the process so the dynamic linker picks up the new LD_LIBRARY_PATH. + # We read the original argv from /proc/self/cmdline to preserve the exact + # invocation (works for both `python -m buzz` and frozen binaries). + try: + with open("/proc/self/cmdline", "rb") as f: + raw_args = [a.decode("utf-8", errors="replace") for a in f.read().split(b"\x00") if a] + executable = raw_args[0] + logger.info("CUDA setup: re-execing %s with LD_LIBRARY_PATH=%s", executable, new_ld) + os.execv(executable, raw_args) + except Exception as e: + # Re-exec failed (e.g. AppArmor restriction) — fall back to ctypes preloading + logger.warning("CUDA setup: re-exec failed (%s), falling back to ctypes preload", e) + _preload_linux_libraries_fallback() + + +def _preload_linux_libraries_fallback(): + """Fallback: preload CUDA .so files with RTLD_GLOBAL when re-exec is not possible.""" + lib_dirs = _get_nvidia_package_lib_dirs() + skip_patterns = ["libnvblas"] + candidates = [] for lib_dir in lib_dirs: if not lib_dir.exists(): continue - - # Find all .so files in the directory for lib_file in sorted(lib_dir.glob("*.so*")): - if lib_file.name in loaded_libs: - continue if lib_file.is_symlink() and not lib_file.exists(): continue - - # Skip problematic libraries - if any(pattern in lib_file.name for pattern in skip_patterns): + if any(p in lib_file.name for p in skip_patterns): continue + candidates.append(lib_file) + loaded: set[str] = set() + for pass_num in range(5): + newly = 0 + for lib_file in candidates: + if lib_file.name in loaded: + continue try: - # Use RTLD_GLOBAL so symbols are available to other libraries ctypes.CDLL(str(lib_file), mode=ctypes.RTLD_GLOBAL) - loaded_libs.add(lib_file.name) + loaded.add(lib_file.name) + newly += 1 except OSError as e: - # Some libraries may have missing dependencies, that's ok - pass + logger.debug("Preload pass %d: skipping %s: %s", pass_num + 1, lib_file.name, e) + logger.info("Preload pass %d: +%d libs (%d total)", pass_num + 1, newly, len(loaded)) + if newly == 0: + break def setup_cuda_libraries(): @@ -118,13 +257,16 @@ def setup_cuda_libraries(): or CUDA-dependent libraries are imported. """ system = platform.system() + logger.info("CUDA setup: platform=%s, frozen=%s", system, getattr(sys, "frozen", False)) if system == "Windows": _setup_windows_dll_directories() elif system == "Linux": - _preload_linux_libraries() + _setup_linux_cuda() # macOS doesn't have CUDA support, so nothing to do + logger.info("CUDA setup: complete") + # Auto-run setup when this module is imported setup_cuda_libraries() diff --git a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po index 8a043fe2a..d803f99f7 100644 --- a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po +++ b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po @@ -7,7 +7,7 @@ msgid "" msgstr "" "Project-Id-Version: buzz\n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: 2025-10-17 07:59+0200\n" "Last-Translator: Éric Duarte \n" "Language-Team: Catalan \n" @@ -659,6 +659,48 @@ msgstr "" "No s'ha pogut reiniciar la transcripció: no s'ha trobat el treballador del " "transcriptor." +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Acceleració GPU Nvidia" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "Utilitza només la CPU i desactiveu l'acceleració de la GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"L'acceleració GPU per a Nvidia permet a Buzz transcriure àudio significativament més ràpid mitjançant CUDA. Per a altres marques de GPU, aquesta acceleració no tindrà cap efecte.\n" +"\n" +"Això descarregarà i instal·larà PyTorch amb suport CUDA (~8 GB). Buzz s'ha de reiniciar després de la instal·lació." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "Instal·lar suport GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "Ara no" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "Instal·lació completada! Reinicieu Buzz per activar l'acceleració GPU." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "Tanca" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "La instal·lació ha fallat: {}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "Enregistrament en directe" @@ -811,6 +853,10 @@ msgstr "Comprova si hi ha actualitzacions" msgid "Show logs" msgstr "Mostra els registres" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "Instal·lar acceleració CUDA" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "Estàs al dia!" @@ -1681,9 +1727,6 @@ msgstr "" #~ "Per habilitar els permisos necessaris, executeu les ordres següents al " #~ "terminal" -#~ msgid "Close" -#~ msgstr "Tanca" - #~ msgid "Enter instructions for AI on how to translate..." #~ msgstr "Introduïu les instruccions per a la IA sobre com traduir..." diff --git a/buzz/locale/da_DK/LC_MESSAGES/buzz.po b/buzz/locale/da_DK/LC_MESSAGES/buzz.po index dcd20f405..0b79cb91c 100644 --- a/buzz/locale/da_DK/LC_MESSAGES/buzz.po +++ b/buzz/locale/da_DK/LC_MESSAGES/buzz.po @@ -2,7 +2,7 @@ msgid "" msgstr "" "Project-Id-Version: \n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: \n" "Last-Translator: Ole Guldberg2 \n" "Language-Team: \n" @@ -653,6 +653,48 @@ msgid "Could not restart transcription: transcriber worker not found." msgstr "" "Kunne ikke genstarte transkription: transkriptionsprocessen blev ikke fundet." +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Nvidia GPU-acceleration" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "Brug kun CPU og deaktiver GPU-acceleration" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"Installation af GPU-acceleration til Nvidia GPU'er giver Buzz mulighed for at transskribere lyd betydeligt hurtigere ved hjælp af CUDA. For andre GPU-mærker vil denne acceleration ikke have nogen effekt.\n" +"\n" +"Dette vil downloade og installere PyTorch med CUDA-understøttelse (~8 GB). Buzz skal genstartes efter installation." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "Installer GPU-understøttelse" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "Ikke nu" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "Installation fuldført! Genstart Buzz for at aktivere GPU-acceleration." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "Installation mislykkedes: {}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "Live optagelse" @@ -805,6 +847,10 @@ msgstr "Tjek for opdateringer" msgid "Show logs" msgstr "Vis logfiler" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "Installer CUDA-acceleration" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "Du er opdateret!" diff --git a/buzz/locale/de_DE/LC_MESSAGES/buzz.po b/buzz/locale/de_DE/LC_MESSAGES/buzz.po index 69ee547b8..cf08df4ff 100644 --- a/buzz/locale/de_DE/LC_MESSAGES/buzz.po +++ b/buzz/locale/de_DE/LC_MESSAGES/buzz.po @@ -6,7 +6,7 @@ msgid "" msgstr "" "Project-Id-Version: \n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: 2025-03-05 14:41+0100\n" "Last-Translator: \n" "Language-Team: \n" @@ -662,6 +662,48 @@ msgstr "" "Transkription konnte nicht neu gestartet werden: Transkriptions-Worker nicht " "gefunden." +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Nvidia GPU-Beschleunigung" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "Nur CPU verwenden und GPU-Beschleunigung deaktivieren" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"Die Installation der GPU-Beschleunigung für Nvidia GPUs ermöglicht es Buzz, Audio mithilfe von CUDA deutlich schneller zu transkribieren. Für andere GPU-Marken hat diese Beschleunigung keine Auswirkung.\n" +"\n" +"Dies lädt PyTorch mit CUDA-Unterstützung herunter und installiert es (~8 GB). Buzz muss nach der Installation neu gestartet werden." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "GPU-Unterstützung installieren" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "Nicht jetzt" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "Installation abgeschlossen! Starte Buzz neu, um die GPU-Beschleunigung zu aktivieren." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "Schließen" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "Installation fehlgeschlagen: {}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "Live-Aufnahme" @@ -814,6 +856,10 @@ msgstr "Nach Updates suchen" msgid "Show logs" msgstr "Protokolle anzeigen" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "CUDA-Beschleunigung installieren" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "Sie sind auf dem Laufenden!" @@ -1688,8 +1734,5 @@ msgstr "" #~ "Um die erforderlichen Berechtigungen zu aktivieren, führen Sie die " #~ "folgenden Befehle im Terminal aus" -#~ msgid "Close" -#~ msgstr "Schließen" - #~ msgid "Enter instructions for AI on how to translate..." #~ msgstr "Geben Sie Anweisungen für die KI zum Übersetzen ein..." diff --git a/buzz/locale/en_US/LC_MESSAGES/buzz.po b/buzz/locale/en_US/LC_MESSAGES/buzz.po index 5740108ae..afc3d3a71 100644 --- a/buzz/locale/en_US/LC_MESSAGES/buzz.po +++ b/buzz/locale/en_US/LC_MESSAGES/buzz.po @@ -8,7 +8,7 @@ msgid "" msgstr "" "Project-Id-Version: PACKAGE VERSION\n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n" "Last-Translator: FULL NAME \n" "Language-Team: LANGUAGE \n" @@ -632,6 +632,44 @@ msgstr "" msgid "Could not restart transcription: transcriber worker not found." msgstr "" +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install Nvidia GPU Acceleration?" +msgstr "" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "" @@ -782,6 +820,10 @@ msgstr "" msgid "Show logs" msgstr "" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "" diff --git a/buzz/locale/es_ES/LC_MESSAGES/buzz.po b/buzz/locale/es_ES/LC_MESSAGES/buzz.po index a697286fc..44aee59ff 100644 --- a/buzz/locale/es_ES/LC_MESSAGES/buzz.po +++ b/buzz/locale/es_ES/LC_MESSAGES/buzz.po @@ -7,7 +7,7 @@ msgid "" msgstr "" "Project-Id-Version: \n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: 2025-09-08 12:43+0200\n" "Last-Translator: Éric Duarte \n" "Language-Team: \n" @@ -687,6 +687,48 @@ msgstr "" "No se pudo reiniciar la transcripción: no se encontró el trabajador del " "transcriptor." +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Aceleración GPU de Nvidia" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "Usa solo CPU y desactiva la aceleración de GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"Instalar la aceleración GPU para GPUs Nvidia permite a Buzz transcribir audio significativamente más rápido usando CUDA. Para otras marcas de GPU esta aceleración no tendrá efecto.\n" +"\n" +"Esto descargará e instalará PyTorch con soporte CUDA (~8 GB). Buzz debe reiniciarse después de la instalación." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "Instalar soporte GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "Ahora no" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "¡Instalación completa! Reinicia Buzz para activar la aceleración GPU." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "Cerrar" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "La instalación falló: {}" + # automatic translation #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" @@ -845,6 +887,10 @@ msgstr "Buscar actualizaciones" msgid "Show logs" msgstr "Mostrar registros" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "Instalar aceleración CUDA" + # automatic translation #: buzz/widgets/about_dialog.py msgid "You're up to date!" @@ -1740,9 +1786,6 @@ msgstr "" #~ "Para habilitar los permisos necesarios ejecute los siguientes comandos en " #~ "el terminal" -#~ msgid "Close" -#~ msgstr "Cerrar" - #~ msgid "Enter instructions for AI on how to translate..." #~ msgstr "Introduzca instrucciones para la IA sobre cómo traducir..." diff --git a/buzz/locale/it_IT/LC_MESSAGES/buzz.po b/buzz/locale/it_IT/LC_MESSAGES/buzz.po index d59ef179c..10e6d1bc4 100644 --- a/buzz/locale/it_IT/LC_MESSAGES/buzz.po +++ b/buzz/locale/it_IT/LC_MESSAGES/buzz.po @@ -6,8 +6,8 @@ msgid "" msgstr "" "Project-Id-Version: buzz\n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" -"PO-Revision-Date: 2026-04-12 21:42+0200\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" +"PO-Revision-Date: 2026-01-25 21:42+0200\n" "Language-Team: (Italiano) Albano Battistella \n" "Language: it_IT\n" "MIME-Version: 1.0\n" @@ -658,6 +658,48 @@ msgstr "" msgid "Could not restart transcription: transcriber worker not found." msgstr "Impossibile riavviare la trascrizione: trascrittore non trovato." +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Accelerazione GPU Nvidia" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "Utilizza solo la CPU e disattiva l'accelerazione GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"L'installazione dell'accelerazione GPU per GPU Nvidia consente a Buzz di trascrivere l'audio in modo significativamente più veloce tramite CUDA. Per altre marche di GPU questa accelerazione non avrà alcun effetto.\n" +"\n" +"Verranno scaricati e installati PyTorch con supporto CUDA (~8 GB). Buzz deve essere riavviato dopo l'installazione." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "Installa supporto GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "Non ora" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "Installazione completata! Riavvia Buzz per abilitare l'accelerazione GPU." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "Chiudi" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "Installazione fallita: {}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "Registrazione in diretta" @@ -810,6 +852,10 @@ msgstr "Controlla gli aggiornamenti" msgid "Show logs" msgstr "Mostra log" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "Installa accelerazione CUDA" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "Il programma è aggiornato!" @@ -1683,9 +1729,6 @@ msgstr "" #~ "Per abilitare le autorizzazioni necessarie, eseguire i seguenti comandi " #~ "nel terminale" -#~ msgid "Close" -#~ msgstr "Chiudi" - #~ msgid "Enter instructions for AI on how to translate..." #~ msgstr "Inserisci le istruzioni per l'IA su come tradurre..." diff --git a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po index 9435ef852..a660e21a0 100644 --- a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po +++ b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po @@ -2,7 +2,7 @@ msgid "" msgstr "" "Project-Id-Version: \n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: \n" "Last-Translator: nunawa <71294849+nunawa@users.noreply.github.com>\n" "Language-Team: \n" @@ -649,6 +649,48 @@ msgstr "" msgid "Could not restart transcription: transcriber worker not found." msgstr "文字起こしを再開できませんでした: 文字起こしワーカーが見つかりません。" +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Nvidia GPU アクセラレーション" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "CPUのみを使用してGPUアクセラレーションを無効にする" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"Nvidia GPU 向けの GPU アクセラレーションをインストールすると、CUDA を使用して Buzz が音声をはるかに高速に文字起こしできるようになります。他の GPU ブランドではこのアクセラレーションは効果がありません。\n" +"\n" +"CUDA サポート付きの PyTorch がダウンロード・インストールされます（約 2 GB）。インストール後、Buzz を再起動する必要があります。" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "GPU サポートをインストール" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "後で" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "インストール完了！GPU アクセラレーションを有効にするには Buzz を再起動してください。" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "閉じる" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "インストールに失敗しました: {}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "ライブ録音" @@ -801,6 +843,10 @@ msgstr "アップデートを確認する" msgid "Show logs" msgstr "ログを表示" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "CUDA アクセラレーションをインストール" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "最新の状態です!" @@ -1660,9 +1706,6 @@ msgstr "" #~ "必要なパーミッションを有効にするには、ターミナルで以下のコマンドを実行して" #~ "ください" -#~ msgid "Close" -#~ msgstr "閉じる" - #~ msgid "Enter instructions for AI on how to translate..." #~ msgstr "AIのための翻訳方法の指示を入力..." diff --git a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po index f35288d65..f41271cfa 100644 --- a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po +++ b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po @@ -7,7 +7,7 @@ msgid "" msgstr "" "Project-Id-Version: \n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: 2026-03-06 13:23+0200\n" "Last-Translator: \n" "Language-Team: \n" @@ -656,6 +656,48 @@ msgstr "" msgid "Could not restart transcription: transcriber worker not found." msgstr "Neizdevās sākt atpazīšanu: Kļūda lietotnē, pārstartējiet." +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Nvidia GPU paātrinājums" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install Nvidia GPU Acceleration?" +msgstr "Instalēt Nvidia GPU paātrināšanu" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"GPU paātrinājuma instalēšana Nvidia GPU kartēm ļauj Buzz ievērojami ātrāk atpazīt audio, izmantojot CUDA. " +"Citu GPU ražotāju kartēm šim paātrinājumam nebūs nekādas ietekmes.\n" +"\n" +"Tiks lejupielādēts un instalēts PyTorch ar CUDA atbalstu (~8 GB). Pēc instalēšanas Buzz ir jārestartē." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "Instalēt GPU atbalstu" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "Ne tagad" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "Instalēšana pabeigta! Restartējiet Buzz, lai aktivizētu GPU paātrinājumu." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "Aizvērt" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "Instalēšana neizdevās: {}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "Dzīvā ierakstīšana" @@ -808,6 +850,10 @@ msgstr "Pārbaudīt atjauninājumus" msgid "Show logs" msgstr "Parādīt sistēmas žurnālu" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "Instalēt CUDA paātrinājumu" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "Jums ir jaunākā versija!" @@ -1640,42 +1686,4 @@ msgid "" "to be downloaded." msgstr "" "Runas atdalīšana neizdevās! Pārbaudiet interneta savienojumu, iespējams " -"jālejupielādē modelis." - -#~ msgid "Live recording mode:" -#~ msgstr "Dzīvā ieraksta režīms:" - -#~ msgid "Comma-separated, e.g. \"0.0, 0.2, 0.4, 0.6, 0.8, 1.0\"" -#~ msgstr "Atdalīti ar komatu, piemēram, \"0.0, 0.2, 0.4, 0.6, 0.8, 1.0\"" - -#~ msgid "Temperature:" -#~ msgstr "Temperatūra:" - -#~ msgid "Please translate each text sent to you from English to Spanish." -#~ msgstr "Lūdzu, iztulko katru tev atsūtīto tekstu no angļu valodas latviski." - -#~ msgid "Translation error, see logs!" -#~ msgstr "Kļūda tulkojot, skatiet sistēmas žurnālu!" - -#~ msgid "Snap permission notice" -#~ msgstr "Snap atļauju piezīme" - -#~ msgid "" -#~ "Detected missing permissions, please check that snap permissions have " -#~ "been granted" -#~ msgstr "" -#~ "Ne visi nepieciešamie moduļi darbojas korekti, iespējams nav piešķirtas " -#~ "snap atļaujas" - -#~ msgid "" -#~ "To enable necessary permissions run the following commands in the terminal" -#~ msgstr "Lai piešķirtu nepieciešamās atļaujas izpildiet šīs komandas" - -#~ msgid "Close" -#~ msgstr "Aizvērt" - -#~ msgid "Enter instructions for AI on how to translate..." -#~ msgstr "Ievadiet tulkošanas norādes mākslīgajam intelektam..." - -#~ msgid "Enter target characters per subtitle:" -#~ msgstr "Ievadiet vēlamo simbolu skaitu tekstā:" +"jālejupielādē modelis." \ No newline at end of file diff --git a/buzz/locale/nl/LC_MESSAGES/buzz.po b/buzz/locale/nl/LC_MESSAGES/buzz.po index 62b26b5ef..a27167508 100644 --- a/buzz/locale/nl/LC_MESSAGES/buzz.po +++ b/buzz/locale/nl/LC_MESSAGES/buzz.po @@ -8,7 +8,7 @@ msgid "" msgstr "" "Project-Id-Version: \n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: 2025-03-20 18:30+0100\n" "Last-Translator: Heimen Stoffels \n" "Language-Team: none\n" @@ -663,6 +663,48 @@ msgstr "" "Transcriptie kon niet opnieuw worden gestart: transcriptieproces niet " "gevonden." +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Nvidia GPU-versnelling" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "Alleen CPU gebruiken en GPU-versnelling uitschakelen" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"Het installeren van GPU-versnelling voor Nvidia GPU's stelt Buzz in staat om audio aanzienlijk sneller te transcriberen met CUDA. Voor andere GPU-merken heeft deze versnelling geen effect.\n" +"\n" +"Dit downloadt en installeert PyTorch met CUDA-ondersteuning (~8 GB). Buzz moet na de installatie opnieuw worden gestart." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "GPU-ondersteuning installeren" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "Niet nu" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "Installatie voltooid! Herstart Buzz om GPU-versnelling in te schakelen." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "Sluiten" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "Installatie mislukt: {}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "Live-opname" @@ -813,6 +855,10 @@ msgstr "Controleren op updates" msgid "Show logs" msgstr "Logboeken tonen" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "CUDA-versnelling installeren" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "De software is actueel!" @@ -1683,8 +1729,5 @@ msgstr "" #~ msgstr "" #~ "De rechten kunnen met behulp van deze terminalopdrachten worden verleend" -#~ msgid "Close" -#~ msgstr "Sluiten" - #~ msgid "Enter instructions for AI on how to translate..." #~ msgstr "Voer vertaalinstructies in…" diff --git a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po index e297b7b9d..cabf23da6 100644 --- a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po +++ b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po @@ -7,7 +7,7 @@ msgid "" msgstr "" "Project-Id-Version: \n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: 2024-03-17 20:50+0200\n" "Last-Translator: \n" "Language-Team: \n" @@ -658,6 +658,48 @@ msgstr "" "Nie można uruchomić ponownie transkrypcji: nie znaleziono procesu " "transkrypcji." +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Akceleracja GPU Nvidia" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "Używaj tylko CPU i wyłącz akcelerację GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"Instalacja akceleracji GPU dla kart Nvidia pozwala Buzz znacznie szybciej transkrybować dźwięk przy użyciu CUDA. Dla innych marek GPU ta akceleracja nie będzie miała żadnego efektu.\n" +"\n" +"Spowoduje to pobranie i zainstalowanie PyTorch z obsługą CUDA (~8 GB). Po instalacji Buzz musi zostać ponownie uruchomiony." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "Zainstaluj obsługę GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "Nie teraz" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "Instalacja zakończona! Uruchom ponownie Buzz, aby włączyć akcelerację GPU." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "Instalacja nie powiodła się: {}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "Nagrywanie na żywo" @@ -810,6 +852,10 @@ msgstr "Sprawdź aktualizacje" msgid "Show logs" msgstr "Pokaż logi" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "Zainstaluj akcelerację CUDA" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "Posiadasz najnowszą wersję!" diff --git a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po index ce6d1d63b..c6bf0a096 100644 --- a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po +++ b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po @@ -7,7 +7,7 @@ msgid "" msgstr "" "Project-Id-Version: Buzz\n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: 2025-11-01 17:43-0300\n" "Last-Translator: Paulo Schopf \n" "Language-Team: none\n" @@ -656,6 +656,48 @@ msgstr "" "Não foi possível reiniciar a transcrição: trabalhador de transcrição não " "encontrado." +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Aceleração GPU Nvidia" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "Usar somente a CPU e desabilitar aceleração por GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"Instalar a aceleração GPU para GPUs Nvidia permite ao Buzz transcrever áudio significativamente mais rápido usando CUDA. Para outras marcas de GPU, essa aceleração não terá efeito.\n" +"\n" +"Isso irá baixar e instalar o PyTorch com suporte a CUDA (~8 GB). O Buzz deve ser reiniciado após a instalação." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "Instalar suporte a GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "Agora não" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "Instalação concluída! Reinicie o Buzz para ativar a aceleração GPU." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "Fechar" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "Falha na instalação: {}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "Gravação ao Vivo" @@ -808,6 +850,10 @@ msgstr "Verificar atualizações" msgid "Show logs" msgstr "Mostrar logs" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "Instalar aceleração CUDA" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "Você está atualizado!" @@ -1676,9 +1722,6 @@ msgstr "" #~ "Para habilitar as permissões necessárias, execute os seguintes comandos " #~ "no terminal" -#~ msgid "Close" -#~ msgstr "Fechar" - #~ msgid "Enter instructions for AI on how to translate..." #~ msgstr "Instrua a IA sobre como traduzir..." diff --git a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po index b4551924d..6f02e2c35 100644 --- a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po +++ b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po @@ -2,7 +2,7 @@ msgid "" msgstr "" "Project-Id-Version: \n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: \n" "Last-Translator: Yevhen Popok \n" "Language-Team: \n" @@ -652,6 +652,48 @@ msgid "Could not restart transcription: transcriber worker not found." msgstr "" "Не вдалося перезапустити транскрипцію: обробник транскрипції не знайдено." +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Апаратне прискорення Nvidia GPU" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "Використовувати лише CPU та вимкнути прискорення GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"Встановлення апаратного прискорення GPU для відеокарт Nvidia дозволяє Buzz значно швидше транскрибувати аудіо за допомогою CUDA. Для відеокарт інших виробників це прискорення не матиме жодного ефекту.\n" +"\n" +"Це завантажить і встановить PyTorch з підтримкою CUDA (~2 ГБ). Після встановлення необхідно перезапустити Buzz." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "Встановити підтримку GPU" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "Не зараз" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "Встановлення завершено! Перезапустіть Buzz, щоб увімкнути апаратне прискорення GPU." + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "Закрити" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "Помилка встановлення: {}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "Живий запис" @@ -804,6 +846,10 @@ msgstr "Перевірити оновлення" msgid "Show logs" msgstr "Показати журнали" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "Встановити прискорення CUDA" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "У вас актуальна версія!" @@ -1671,8 +1717,5 @@ msgstr "" #~ msgstr "" #~ "Для активації необхідних дозволів, запустіть наступну команду в терміналі" -#~ msgid "Close" -#~ msgstr "Закрити" - #~ msgid "Enter instructions for AI on how to translate..." #~ msgstr "Введіть інструкції для перекладу ШІ..." diff --git a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po index e1283701e..e59ce207c 100644 --- a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po +++ b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po @@ -7,7 +7,7 @@ msgid "" msgstr "" "Project-Id-Version: \n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: 2023-05-01 15:45+0800\n" "Last-Translator: \n" "Language-Team: lamb \n" @@ -644,6 +644,48 @@ msgstr "无法重新开始识别：模型不可用且无法下载。" msgid "Could not restart transcription: transcriber worker not found." msgstr "无法重新开始识别：未找到识别工作进程。" +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Nvidia GPU 加速" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "仅使用 CPU 并禁用 GPU 加速" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"为 Nvidia GPU 安装 GPU 加速后，Buzz 可以使用 CUDA 显著加快音频转录速度。对于其他品牌的 GPU，此加速将不起作用。\n" +"\n" +"这将下载并安装支持 CUDA 的 PyTorch（约 2 GB）。安装完成后必须重启 Buzz。" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "安装 GPU 支持" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "暂不安装" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "安装完成！请重启 Buzz 以启用 GPU 加速。" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "关闭" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "安装失败：{}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "实时录制" @@ -794,6 +836,10 @@ msgstr "检查更新" msgid "Show logs" msgstr "显示日志" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "安装 CUDA 加速" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "已经是最新版本" @@ -1642,9 +1688,6 @@ msgstr "语音提取失败！请检查您的网络连接——可能需要下载 #~ "To enable necessary permissions run the following commands in the terminal" #~ msgstr "要启用必要的权限，请在终端中运行以下命令" -#~ msgid "Close" -#~ msgstr "关闭" - #~ msgid "Enter instructions for AI on how to translate..." #~ msgstr "输入AI如何翻译的说明..." diff --git a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po index 6c8e07a03..55714c432 100644 --- a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po +++ b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po @@ -7,7 +7,7 @@ msgid "" msgstr "" "Project-Id-Version: \n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2026-05-03 09:00+0300\n" +"POT-Creation-Date: 2026-03-28 21:04+0200\n" "PO-Revision-Date: 2023-05-01 15:45+0800\n" "Last-Translator: \n" "Language-Team: Lamb\n" @@ -645,6 +645,48 @@ msgstr "無法重新開始轉錄：模型不可用且無法下載。" msgid "Could not restart transcription: transcriber worker not found." msgstr "無法重新開始轉錄：找不到轉錄工作器。" +#: buzz/widgets/cuda_installer_widget.py +msgid "Nvidia GPU Acceleration" +msgstr "Nvidia GPU 加速" + +#: buzz/widgets/cuda_installer_widget.py +#, fuzzy +msgid "Install Nvidia GPU Acceleration?" +msgstr "僅使用 CPU 並停用 GPU 加速" + +#: buzz/widgets/cuda_installer_widget.py +msgid "" +"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio " +"significantly faster using CUDA. For other GPU brands this acceleration will " +"have no effect\n" +"\n" +"This will download and install PyTorch with CUDA support (~8 GB). Buzz must " +"be restarted after installation." +msgstr "" +"為 Nvidia GPU 安裝 GPU 加速後，Buzz 可以使用 CUDA 大幅提升音訊轉錄速度。對於其他品牌的 GPU，此加速將不起作用。\n" +"\n" +"這將下載並安裝支援 CUDA 的 PyTorch（約 2 GB）。安裝完成後必須重新啟動 Buzz。" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Install GPU Support" +msgstr "安裝 GPU 支援" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Not Now" +msgstr "暫不安裝" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation complete! Restart Buzz to enable GPU acceleration." +msgstr "安裝完成！請重新啟動 Buzz 以啟用 GPU 加速。" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Close" +msgstr "" + +#: buzz/widgets/cuda_installer_widget.py +msgid "Installation failed: {}" +msgstr "安裝失敗：{}" + #: buzz/widgets/recording_transcriber_widget.py msgid "Live Recording" msgstr "現場錄製" @@ -795,6 +837,10 @@ msgstr "檢查更新" msgid "Show logs" msgstr "顯示日誌" +#: buzz/widgets/about_dialog.py +msgid "Install CUDA Acceleration" +msgstr "安裝 CUDA 加速" + #: buzz/widgets/about_dialog.py msgid "You're up to date!" msgstr "你是最新的！" diff --git a/buzz/model_loader.py b/buzz/model_loader.py index 050379c59..d57e938cf 100644 --- a/buzz/model_loader.py +++ b/buzz/model_loader.py @@ -174,12 +174,20 @@ def get_expected_whisper_model_size(size: WhisperModelSize) -> Optional[int]: return WHISPER_MODEL_SIZES.get(size, None) class ModelType(enum.Enum): - WHISPER = "Whisper" WHISPER_CPP = "Whisper.cpp" HUGGING_FACE = "Hugging Face" FASTER_WHISPER = "Faster Whisper" + WHISPER = "OpenAI Whisper" OPEN_AI_WHISPER_API = "OpenAI Whisper API" + @classmethod + def _missing_(cls, value): + # Migrate old stored values to new display names + legacy_map = { + "Whisper": cls.WHISPER, + } + return legacy_map.get(value) + @property def supports_initial_prompt(self): return self in ( @@ -320,7 +328,7 @@ def __init__( def __str__(self): match self.model_type: case ModelType.WHISPER: - return f"Whisper ({self.whisper_model_size})" + return f"OpenAI Whisper ({self.whisper_model_size})" case ModelType.WHISPER_CPP: return f"Whisper.cpp ({self.whisper_model_size})" case ModelType.HUGGING_FACE: diff --git a/buzz/settings/settings.py b/buzz/settings/settings.py index 0f9242a4b..062eca2e0 100644 --- a/buzz/settings/settings.py +++ b/buzz/settings/settings.py @@ -85,6 +85,9 @@ class Key(enum.Enum): LAST_UPDATE_CHECK = "update/last-check" UPDATE_AVAILABLE_VERSION = "update/available-version" + CUDA_PROMPT_SHOWN = "cuda/prompt-shown" + CUDA_INSTALL_DECLINED = "cuda/install-declined" + def get_user_identifier(self) -> str: user_id = self.value(self.Key.USER_IDENTIFIER, "") if not user_id: diff --git a/buzz/transcriber/cuda_device.py b/buzz/transcriber/cuda_device.py new file mode 100644 index 000000000..6a2e70e13 --- /dev/null +++ b/buzz/transcriber/cuda_device.py @@ -0,0 +1,17 @@ +import logging + + +def cuda_works() -> bool: + """Return True only if CUDA is available AND a kernel actually executes without error.""" + try: + import torch + except ImportError: + return False + if not torch.cuda.is_available() or not torch.version.cuda: + return False + try: + torch.zeros(1, device="cuda") + return True + except Exception as e: + logging.debug("CUDA smoke test failed, falling back to CPU: %s", e) + return False diff --git a/buzz/transcriber/recording_transcriber.py b/buzz/transcriber/recording_transcriber.py index 3d0105baf..300b80691 100644 --- a/buzz/transcriber/recording_transcriber.py +++ b/buzz/transcriber/recording_transcriber.py @@ -3,6 +3,7 @@ import platform import os import sys +import socket import wave import time import tempfile @@ -16,6 +17,7 @@ import torch import numpy as np +from buzz.transcriber.cuda_device import cuda_works import sounddevice from sounddevice import PortAudioError from openai import OpenAI @@ -78,6 +80,7 @@ def __init__( ) self.process = None self._stderr_lines: list[bytes] = [] + self._whisper_server_port: int = 3003 def start(self): self.is_running = True @@ -86,7 +89,7 @@ def start(self): keep_samples = int(self.keep_sample_seconds * self.sample_rate) force_cpu = os.getenv("BUZZ_FORCE_CPU", "false") - use_cuda = torch.cuda.is_available() and force_cpu == "false" + use_cuda = cuda_works() and force_cpu == "false" if torch.cuda.is_available(): logging.debug(f"CUDA version detected: {torch.version.cuda}") @@ -108,12 +111,11 @@ def start(self): model_root_dir = os.getenv("BUZZ_MODEL_ROOT", model_root_dir) device = "auto" - if torch.cuda.is_available() and torch.version.cuda < "12": - logging.debug("Unsupported CUDA version (<12), using CPU") + if not cuda_works(): + logging.debug("CUDA not available or not functional, using CPU") device = "cpu" - - if not torch.cuda.is_available(): - logging.debug("CUDA is not available, using CPU") + elif torch.version.cuda < "12": + logging.debug("Unsupported CUDA version (<12), using CPU") device = "cpu" if force_cpu != "false": @@ -208,7 +210,7 @@ def start(self): initial_prompt=initial_prompt, temperature=DEFAULT_WHISPER_TEMPERATURE, no_speech_threshold=0.4, - fp16=False, + fp16=use_cuda, ) elif ( self.transcription_options.model.model_type @@ -432,9 +434,14 @@ def start_local_whisper_server(self): if not os.path.exists(server_path): server_path = os.path.join(APP_BASE_DIR, "buzz", "whisper_cpp", server_executable) + # Pick a free port to avoid conflicts when multiple tests or instances run concurrently + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as _s: + _s.bind(('127.0.0.1', 0)) + self._whisper_server_port = _s.getsockname()[1] + cmd = [ server_path, - "--port", "3003", + "--port", str(self._whisper_server_port), "--inference-path", "/audio/transcriptions", "--threads", str(os.getenv("BUZZ_WHISPERCPP_N_THREADS", (os.cpu_count() or 8) // 2)), "--model", self.model_path, @@ -510,7 +517,7 @@ def start_local_whisper_server(self): self.openai_client = OpenAI( api_key="not-used", - base_url="http://127.0.0.1:3003", + base_url=f"http://127.0.0.1:{self._whisper_server_port}", timeout=30.0, max_retries=0 ) diff --git a/buzz/transcriber/whisper_file_transcriber.py b/buzz/transcriber/whisper_file_transcriber.py index 5198c448b..4d18d0f59 100644 --- a/buzz/transcriber/whisper_file_transcriber.py +++ b/buzz/transcriber/whisper_file_transcriber.py @@ -11,6 +11,8 @@ import torch import platform + +from buzz.transcriber.cuda_device import cuda_works import subprocess from platformdirs import user_cache_dir from multiprocessing.connection import Connection @@ -268,12 +270,11 @@ def transcribe_faster_whisper(cls, task: FileTranscriptionTask) -> List[Segment] force_cpu = os.getenv("BUZZ_FORCE_CPU", "false") device = "auto" - if torch.cuda.is_available() and torch.version.cuda < "12": - logging.debug("Unsupported CUDA version (<12), using CPU") + if not cuda_works(): + logging.debug("CUDA not available or not functional, using CPU") device = "cpu" - - if not torch.cuda.is_available(): - logging.debug("CUDA is not available, using CPU") + elif torch.version.cuda < "12": + logging.debug("Unsupported CUDA version (<12), using CPU") device = "cpu" if force_cpu != "false": @@ -334,7 +335,7 @@ def transcribe_faster_whisper(cls, task: FileTranscriptionTask) -> List[Segment] @classmethod def transcribe_openai_whisper(cls, task: FileTranscriptionTask) -> List[Segment]: force_cpu = os.getenv("BUZZ_FORCE_CPU", "false") - use_cuda = torch.cuda.is_available() and force_cpu == "false" + use_cuda = cuda_works() and force_cpu == "false" device = "cuda" if use_cuda else "cpu" @@ -360,7 +361,7 @@ def patched_torch_load(*args, **kwargs): temperature=DEFAULT_WHISPER_TEMPERATURE, initial_prompt=task.transcription_options.initial_prompt, no_speech_threshold=0.4, - fp16=False, + fp16=use_cuda, ) return [ Segment( @@ -380,7 +381,7 @@ def patched_torch_load(*args, **kwargs): temperature=task.transcription_options.temperature, initial_prompt=task.transcription_options.initial_prompt, verbose=False, - fp16=False, + fp16=use_cuda, ) segments = result.get("segments") return [ diff --git a/buzz/transformers_whisper.py b/buzz/transformers_whisper.py index aee8a8cfb..f5a0866b6 100644 --- a/buzz/transformers_whisper.py +++ b/buzz/transformers_whisper.py @@ -9,6 +9,7 @@ import torch import requests +from buzz.transcriber.cuda_device import cuda_works from typing import Union from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline, BitsAndBytesConfig from transformers.pipelines import AutomaticSpeechRecognitionPipeline @@ -245,7 +246,7 @@ def _transcribe_whisper( ): """Transcribe using Whisper model.""" force_cpu = os.getenv("BUZZ_FORCE_CPU", "false") - use_cuda = torch.cuda.is_available() and force_cpu == "false" + use_cuda = cuda_works() and force_cpu == "false" device = "cuda" if use_cuda else "cpu" torch_dtype = torch.float16 if use_cuda else torch.float32 @@ -464,7 +465,7 @@ def _transcribe_mms( from transformers.pipelines.audio_utils import ffmpeg_read as mms_ffmpeg_read force_cpu = os.getenv("BUZZ_FORCE_CPU", "false") - use_cuda = torch.cuda.is_available() and force_cpu == "false" + use_cuda = cuda_works() and force_cpu == "false" device = "cuda" if use_cuda else "cpu" # Map language code to ISO 639-3 for MMS diff --git a/buzz/widgets/about_dialog.py b/buzz/widgets/about_dialog.py index 5c6b67573..61165e8ee 100644 --- a/buzz/widgets/about_dialog.py +++ b/buzz/widgets/about_dialog.py @@ -20,6 +20,7 @@ from buzz.widgets.icon import BUZZ_ICON_PATH, BUZZ_LARGE_ICON_PATH from buzz.locale import _ from buzz.settings.settings import APP_NAME +from buzz.widgets.cuda_installer_widget import CudaInstallerDialog class AboutDialog(QDialog): @@ -84,9 +85,13 @@ def __init__( self.show_logs_button = QPushButton(_("Show logs"), self) self.show_logs_button.clicked.connect(self.on_click_show_logs) + self.cuda_installer_button = QPushButton(_("Install CUDA Acceleration"), self) + self.cuda_installer_button.clicked.connect(self.on_click_cuda_installer) + button_box = QDialogButtonBox( QDialogButtonBox.StandardButton(QDialogButtonBox.StandardButton.Close), self ) + button_box.button(QDialogButtonBox.StandardButton.Close).setText(_("Close")) button_box.accepted.connect(self.accept) button_box.rejected.connect(self.reject) @@ -95,6 +100,7 @@ def __init__( layout.addWidget(version_label) layout.addWidget(self.check_updates_button) layout.addWidget(self.show_logs_button) + layout.addWidget(self.cuda_installer_button) layout.addWidget(button_box) self.setLayout(layout) @@ -109,6 +115,12 @@ def on_click_show_logs(self): log_dir = user_log_dir(appname="Buzz") QDesktopServices.openUrl(QUrl.fromLocalFile(log_dir)) + def on_click_cuda_installer(self): + dialog = CudaInstallerDialog(self) + dialog.show() + dialog.raise_() + dialog.activateWindow() + def on_latest_release_reply(self, reply: QNetworkReply): if reply.error() == QNetworkReply.NetworkError.NoError: response = json.loads(reply.readAll().data()) diff --git a/buzz/widgets/cuda_installer_widget.py b/buzz/widgets/cuda_installer_widget.py new file mode 100644 index 000000000..4b51e2633 --- /dev/null +++ b/buzz/widgets/cuda_installer_widget.py @@ -0,0 +1,141 @@ +""" +Dialog for installing GPU (CUDA) acceleration at runtime. +""" + +import logging +from typing import Optional + +from PyQt6.QtCore import QRunnable, QThreadPool, Qt, pyqtSignal, QObject +from PyQt6.QtWidgets import ( + QDialog, + QVBoxLayout, + QHBoxLayout, + QLabel, + QPushButton, + QProgressBar, + QTextEdit, + QWidget, +) + +from buzz.locale import _ +from buzz.widgets.icon import BUZZ_ICON_PATH +from PyQt6.QtGui import QIcon + +logger = logging.getLogger(__name__) + + +class _InstallSignals(QObject): + progress = pyqtSignal(str) + finished = pyqtSignal() + error = pyqtSignal(str) + + +class _InstallWorker(QRunnable): + def __init__(self): + super().__init__() + self.signals = _InstallSignals() + + def run(self): + try: + from buzz.cuda_manager import install_cuda + install_cuda(progress_callback=self.signals.progress.emit) + self.signals.finished.emit() + except Exception as exc: + logger.exception("CUDA installation failed") + self.signals.error.emit(str(exc)) + + +class CudaInstallerDialog(QDialog): + """Dialog that offers to install CUDA GPU acceleration.""" + + def __init__(self, parent: Optional[QWidget] = None): + super().__init__(parent) + self.setWindowTitle(_("Nvidia GPU Acceleration")) + self.setWindowIcon(QIcon(BUZZ_ICON_PATH)) + self.setMinimumWidth(600) + self.setMinimumHeight(400) + self.setWindowFlags(self.windowFlags() | Qt.WindowType.WindowStaysOnTopHint) + + layout = QVBoxLayout(self) + layout.setSpacing(12) + + header = QLabel(_("Install Nvidia GPU Acceleration?")) + header.setStyleSheet("font-size: 15px; font-weight: bold;") + layout.addWidget(header) + + desc = QLabel( + _( + "Installing GPU acceleration for Nvidia GPUS allows Buzz " + "to transcribe audio significantly faster using CUDA. " + "For other GPU brands this acceleration will have no effect\n\n" + "This will download and install PyTorch with CUDA support (~8 GB). " + "Buzz must be restarted after installation." + ) + ) + desc.setWordWrap(True) + layout.addWidget(desc) + + self.log_view = QTextEdit() + self.log_view.setReadOnly(True) + self.log_view.setMinimumHeight(120) + self.log_view.setVisible(False) + layout.addWidget(self.log_view, 1) # stretch factor so it expands with window + + self.progress_bar = QProgressBar() + self.progress_bar.setRange(0, 0) # indeterminate + self.progress_bar.setVisible(False) + layout.addWidget(self.progress_bar) + + self.status_label = QLabel("") + layout.addWidget(self.status_label) + + button_layout = QHBoxLayout() + self.install_button = QPushButton(_("Install GPU Support")) + self.install_button.setDefault(True) + self.install_button.clicked.connect(self._on_install_clicked) + + self.decline_button = QPushButton(_("Not Now")) + self.decline_button.clicked.connect(self.reject) + + button_layout.addStretch() + button_layout.addWidget(self.decline_button) + button_layout.addWidget(self.install_button) + layout.addLayout(button_layout) + + def _on_install_clicked(self): + self.install_button.setEnabled(False) + self.decline_button.setEnabled(False) + self.progress_bar.setVisible(True) + self.log_view.setVisible(True) + self.status_label.setVisible(False) + + worker = _InstallWorker() + worker.signals.progress.connect(self._on_progress) + worker.signals.finished.connect(self._on_finished) + worker.signals.error.connect(self._on_error) + + QThreadPool.globalInstance().start(worker) + + def _on_progress(self, message: str): + self.log_view.append(message) + self.log_view.verticalScrollBar().setValue( + self.log_view.verticalScrollBar().maximum() + ) + + def _on_finished(self): + self.progress_bar.setVisible(False) + self.status_label.setVisible(True) + self.status_label.setText( + _("Installation complete! Restart Buzz to enable GPU acceleration.") + ) + self.install_button.setText(_("Close")) + self.install_button.setEnabled(True) + self.install_button.clicked.disconnect() + self.install_button.clicked.connect(self.accept) + + def _on_error(self, error: str): + self.progress_bar.setVisible(False) + self.status_label.setVisible(True) + self.status_label.setText(_("Installation failed: {}").format(error)) + self.install_button.setEnabled(True) + self.decline_button.setEnabled(True) diff --git a/buzz/widgets/icon_presentation.py b/buzz/widgets/icon_presentation.py deleted file mode 100644 index 6f230971b..000000000 --- a/buzz/widgets/icon_presentation.py +++ /dev/null @@ -1,60 +0,0 @@ -from PyQt6.QtGui import QIcon, QPixmap, QPainter, QPalette -from PyQt6.QtCore import QSize -from PyQt6.QtSvg import QSvgRenderer -import os -from buzz.assets import APP_BASE_DIR - -class PresentationIcon: - "Icons for presentation window controls" - def __init__(self, parent, svg_path: str, color: str = None): - self.parent = parent - self.svg_path = svg_path - self.color = color or self.get_default_color() - - - def get_default_color(self) -> str: - """Get default icon color based on theme""" - palette = self.parent.palette() - is_dark = palette.window().color().black() > 127 - - return "#EEE" if is_dark else "#555" - - def get_icon(self) -> QIcon: - """Load SVG icon and return as QIcon""" - #Load from asset first - full_path = os.path.join(APP_BASE_DIR, "assets", "icons", os.path.basename(self.svg_path)) - - if not os.path.exists(full_path): - pixmap = QPixmap(24, 24) - pixmap.fill(self.color) - - return QIcon(pixmap) - - #Load SVG - renderer = QSvgRenderer(full_path) - pixmap = QPixmap(24, 24) - pixmap.fill(Qt.GlobalColor.transparent) - painter = QPainter(pixmap) - renderer.render(painter) - painter.end() - - return QIcon(pixmap) - - - - - - - - - - - - - - - - - - - diff --git a/buzz/widgets/main_window.py b/buzz/widgets/main_window.py index f877321af..a1a2d27aa 100644 --- a/buzz/widgets/main_window.py +++ b/buzz/widgets/main_window.py @@ -165,6 +165,9 @@ def __init__(self, transcription_service: TranscriptionService): #Initialize and run update checker self._init_update_checker() + #Offer CUDA installation on Windows if not done before + self._maybe_show_cuda_prompt() + def on_preferences_changed(self, preferences: Preferences): self.preferences = preferences self.save_preferences(preferences) @@ -516,6 +519,32 @@ def _on_update_available(self, update_info: UpdateInfo): self._update_info = update_info self.toolbar.set_update_available(True) + def _maybe_show_cuda_prompt(self): + """On first launch (Windows/Snap/Flatpak), offer CUDA installation if an NVIDIA GPU is present.""" + from buzz import cuda_manager + is_nvidia_gpu_present = cuda_manager.is_nvidia_gpu_present() + + logging.debug(f"Nvidia GPU detected: {is_nvidia_gpu_present}") + + if not is_nvidia_gpu_present: + return + if not cuda_manager.should_offer_cuda_prompt(): + return + if self.settings.value(Settings.Key.CUDA_PROMPT_SHOWN, False): + return + self.settings.set_value(Settings.Key.CUDA_PROMPT_SHOWN, True) + + from PyQt6.QtCore import QTimer + from buzz.widgets.cuda_installer_widget import CudaInstallerDialog + + def _show(): + dialog = CudaInstallerDialog(self) + dialog.show() + dialog.raise_() + dialog.activateWindow() + + QTimer.singleShot(500, _show) + def on_update_action_triggered(self): """Called when user clicks the update action in toolbar.""" if self._update_info is None: diff --git a/buzz/widgets/recording_transcriber_widget.py b/buzz/widgets/recording_transcriber_widget.py index 8c6ba922c..dc641f0d2 100644 --- a/buzz/widgets/recording_transcriber_widget.py +++ b/buzz/widgets/recording_transcriber_widget.py @@ -642,7 +642,7 @@ def on_model_loaded(self, model_path: str): self.transcription_thread.started.connect(self.transcriber.start) self.transcription_thread.finished.connect( - self.transcription_thread.deleteLater + self._on_transcription_thread_finished ) self.transcription_thread.finished.connect( lambda: setattr(self, 'transcription_thread', None) @@ -1077,6 +1077,7 @@ def on_transcriber_error(self, error: str): self.reset_record_button() self.set_recording_status_stopped() self.reset_recording_amplitude_listener() + self.transcription_stopped.emit() QMessageBox.critical( self, "", @@ -1123,7 +1124,7 @@ def closeEvent(self, event: QCloseEvent) -> None: super().closeEvent(event) return - if self.current_status == self.RecordingStatus.RECORDING: + if self.current_status == self.RecordingStatus.RECORDING or self.transcription_thread is not None: # Defer the close until the transcription thread finishes to avoid # blocking the GUI thread with a synchronous wait. event.ignore() @@ -1152,8 +1153,28 @@ def closeEvent(self, event: QCloseEvent) -> None: self._do_close() super().closeEvent(event) - def _on_close_transcriber_finished(self): + def _cleanup_transcription_thread(self): + """Wait for the OS thread to exit, schedule deletion, and clear the reference. + + QThread::finished is emitted before the OS thread fully exits, so we + must call thread.wait() before dropping the last reference or calling + deleteLater() — otherwise Qt destroys the C++ object while the thread + is still in its final cleanup steps. + """ + thread = self.transcription_thread self.transcription_thread = None + if thread is not None: + try: + thread.wait() + thread.deleteLater() + except RuntimeError: + pass + + def _on_transcription_thread_finished(self): + self._cleanup_transcription_thread() + + def _on_close_transcriber_finished(self): + self._cleanup_transcription_thread() self.close() def _do_close(self): diff --git a/installer.iss b/installer.iss index b13d5061f..88ada84e6 100644 --- a/installer.iss +++ b/installer.iss @@ -26,7 +26,6 @@ OutputDir={#OutputDir} OutputBaseFilename={#AppName}-{#AppVersion}-windows SetupIconFile={#AppIconPath} UninstallDisplayIcon={app}\{#AppExeName} -DiskSpanning=yes Compression=lzma SolidCompression=yes WizardStyle=modern diff --git a/pyproject.toml b/pyproject.toml index 7a059cb63..a46e9cfeb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,14 +36,13 @@ dependencies = [ "torch==2.2.2; sys_platform == 'darwin' and platform_machine == 'x86_64'", "torchaudio==2.2.2; sys_platform == 'darwin' and platform_machine == 'x86_64'", "ctranslate2==4.3.1; sys_platform == 'darwin' and platform_machine == 'x86_64'", - # For ARM macOS (arm64) - use latest CPU-only versions from PyPI + # For Linux/Windows - use CPU versions from pytorch index + "ctranslate2>=4.6.2,<5; sys_platform != 'darwin'", + "torch==2.8.0+cpu; sys_platform != 'darwin'", + "torchaudio==2.8.0+cpu; sys_platform != 'darwin'", + # For ARM Mac - use regular PyPI torch "torch==2.8.0; sys_platform == 'darwin' and platform_machine == 'arm64'", "torchaudio==2.8.0; sys_platform == 'darwin' and platform_machine == 'arm64'", - "ctranslate2>=4.6.2,<5; sys_platform == 'darwin' and platform_machine == 'arm64'", - # For Linux/Windows - use CUDA versions from pytorch index - "torch==2.8.0; sys_platform != 'darwin'", - "torchaudio==2.8.0; sys_platform != 'darwin'", - "ctranslate2>=4.6.2,<5; sys_platform != 'darwin'", # faster whisper need cudnn 9 "nvidia-cudnn-cu12>=9,<10; sys_platform != 'darwin'", # CUDA runtime libraries are provided by torch dependencies, no need to specify explicitly @@ -82,8 +81,6 @@ dependencies = [ "certifi>=2025.11.12", "truststore>=0.10.0", "torchcodec>=0.9.0; sys_platform != 'darwin' or platform_machine != 'x86_64'", - "torch>=2.2.2", - "torchaudio>=2.2.2", "datasets>=4.4.1", ] repository = "https://github.com/chidiwilliams/buzz" @@ -131,26 +128,15 @@ override-dependencies = [ [tool.uv.sources] torch = [ - { index = "PyPI", marker = "sys_platform == 'darwin'" }, - { index = "pytorch-cu129", marker = "sys_platform != 'darwin'" }, + { index = "pytorch-cpu", marker = "sys_platform != 'darwin'" }, ] torchaudio = [ - { index = "PyPI", marker = "sys_platform == 'darwin'" }, - { index = "pytorch-cu129", marker = "sys_platform != 'darwin'" }, + { index = "pytorch-cpu", marker = "sys_platform != 'darwin'" }, ] - -[[tool.uv.index]] -name = "nvidia" -url = "https://pypi.ngc.nvidia.com/" - -[[tool.uv.index]] -name = "pytorch-cu129" -url = "https://download.pytorch.org/whl/cu129" - [[tool.uv.index]] -name = "PyPI" -url = "https://pypi.org/simple/" -default = true +name = "pytorch-cpu" +url = "https://download.pytorch.org/whl/cpu" +explicit = true [tool.hatch.metadata] allow-direct-references = true diff --git a/share/metainfo/io.github.chidiwilliams.Buzz.metainfo.xml b/share/metainfo/io.github.chidiwilliams.Buzz.metainfo.xml index e7f155121..8afff8306 100644 --- a/share/metainfo/io.github.chidiwilliams.Buzz.metainfo.xml +++ b/share/metainfo/io.github.chidiwilliams.Buzz.metainfo.xml @@ -65,12 +65,13 @@ - + https://github.com/chidiwilliams/buzz/releases/tag/v1.4.5 -

Bug fixes and minor improvements.

+

Unbundled CUDA to make app installations smaller. CUDA Acceleration for Nvidia GPUs can be installed optionally from Help - About Buzz

  • Appimage support for Linux
    • +
  • Minor fixes to model loading and initial prompt processing
 @@ -148,4 +149,4 @@ - + \ No newline at end of file diff --git a/tests/cuda_manager_test.py b/tests/cuda_manager_test.py new file mode 100644 index 000000000..deb596f48 --- /dev/null +++ b/tests/cuda_manager_test.py @@ -0,0 +1,316 @@ +import subprocess +import sys +from pathlib import Path +from unittest.mock import MagicMock, patch, call + +import pytest + +from buzz.cuda_manager import ( + CUDA_INDEX_URL, + CUDA_NVIDIA_PACKAGES_LINUX, + is_cuda_torch_installed, + is_flatpak, + is_nvidia_gpu_present, + is_snap, + should_offer_cuda_prompt, + _get_install_target, + _get_pip_cmd, + _in_virtualenv, + _pip_install, + _subprocess_hide_window_kwargs, + install_cuda, +) + + +class TestIsSnap: + def test_returns_true_when_snap_env_set(self, monkeypatch): + monkeypatch.setenv("SNAP", "/snap/buzz/current") + assert is_snap() is True + + def test_returns_false_when_snap_env_not_set(self, monkeypatch): + monkeypatch.delenv("SNAP", raising=False) + assert is_snap() is False + + +class TestIsFlatpak: + def test_returns_true_when_flatpak_env_set(self, monkeypatch): + monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz") + assert is_flatpak() is True + + def test_returns_false_when_flatpak_env_not_set(self, monkeypatch): + monkeypatch.delenv("FLATPAK_ID", raising=False) + assert is_flatpak() is False + + +class TestShouldOfferCudaPrompt: + def test_returns_true_on_windows(self, monkeypatch): + monkeypatch.setattr(sys, "platform", "win32") + assert should_offer_cuda_prompt() is True + + def test_returns_true_on_linux_snap(self, monkeypatch): + monkeypatch.setattr(sys, "platform", "linux") + monkeypatch.setenv("SNAP", "/snap/buzz/current") + monkeypatch.delenv("FLATPAK_ID", raising=False) + assert should_offer_cuda_prompt() is True + + def test_returns_true_on_linux_flatpak(self, monkeypatch): + monkeypatch.setattr(sys, "platform", "linux") + monkeypatch.delenv("SNAP", raising=False) + monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz") + assert should_offer_cuda_prompt() is True + + def test_returns_false_on_linux_bare(self, monkeypatch): + monkeypatch.setattr(sys, "platform", "linux") + monkeypatch.delenv("SNAP", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + assert should_offer_cuda_prompt() is False + + def test_returns_false_on_macos(self, monkeypatch): + monkeypatch.setattr(sys, "platform", "darwin") + assert should_offer_cuda_prompt() is False + + +class TestIsCudaTorchInstalled: + def test_returns_true_when_cuda_available(self): + mock_torch = MagicMock() + mock_torch.cuda.is_available.return_value = True + mock_torch.__version__ = "2.0.0+cu118" + mock_torch.version.cuda = "11.8" + with patch.dict("sys.modules", {"torch": mock_torch}): + assert is_cuda_torch_installed() is True + + def test_returns_false_when_cuda_not_available(self): + mock_torch = MagicMock() + mock_torch.cuda.is_available.return_value = False + mock_torch.__version__ = "2.0.0" + mock_torch.version.cuda = None + with patch.dict("sys.modules", {"torch": mock_torch}): + assert is_cuda_torch_installed() is False + + def test_returns_false_when_torch_not_installed(self): + with patch.dict("sys.modules", {"torch": None}): + with patch("builtins.__import__", side_effect=ImportError): + assert is_cuda_torch_installed() is False + + def test_logs_warning_when_cuda_compiled_but_unavailable(self): + mock_torch = MagicMock() + mock_torch.cuda.is_available.return_value = False + mock_torch.__version__ = "2.0.0+cu118" + mock_torch.version.cuda = "11.8" + with patch.dict("sys.modules", {"torch": mock_torch}): + with patch("buzz.cuda_manager.logger") as mock_logger: + is_cuda_torch_installed() + mock_logger.warning.assert_called_once() + + +class TestIsNvidiaGpuPresent: + def test_returns_true_when_nvidia_smi_succeeds(self): + with patch("subprocess.run") as mock_run: + mock_run.return_value = MagicMock(returncode=0) + assert is_nvidia_gpu_present() is True + + def test_falls_back_to_proc_file_when_nvidia_smi_missing(self, tmp_path): + with patch("subprocess.run", side_effect=FileNotFoundError): + with patch("buzz.cuda_manager.Path") as mock_path_cls: + mock_path_cls.return_value.exists.return_value = True + assert is_nvidia_gpu_present() is True + + def test_returns_false_when_nvidia_smi_fails_and_no_proc_file(self): + with patch("subprocess.run") as mock_run: + mock_run.return_value = MagicMock(returncode=1) + with patch("pathlib.Path.exists", return_value=False): + assert is_nvidia_gpu_present() is False + + def test_handles_timeout(self): + with patch("subprocess.run", side_effect=subprocess.TimeoutExpired(["nvidia-smi"], 5)): + with patch("pathlib.Path.exists", return_value=False): + assert is_nvidia_gpu_present() is False + + +class TestInVirtualenv: + def test_returns_true_when_virtual_env_set(self, monkeypatch): + monkeypatch.setenv("VIRTUAL_ENV", "/some/venv") + assert _in_virtualenv() is True + + def test_returns_true_when_prefix_differs(self, monkeypatch): + monkeypatch.delenv("VIRTUAL_ENV", raising=False) + with patch.object(sys, "prefix", "/some/venv"): + with patch.object(sys, "base_prefix", "/usr"): + assert _in_virtualenv() is True + + def test_returns_false_when_no_venv(self, monkeypatch): + monkeypatch.delenv("VIRTUAL_ENV", raising=False) + with patch.object(sys, "prefix", sys.base_prefix): + assert _in_virtualenv() is False + + +class TestGetInstallTarget: + def test_snap_uses_snap_user_data(self, monkeypatch, tmp_path): + snap_dir = tmp_path / "snap_data" + monkeypatch.setenv("SNAP", "/snap/buzz/current") + monkeypatch.setenv("SNAP_USER_DATA", str(snap_dir)) + monkeypatch.delenv("FLATPAK_ID", raising=False) + flags = _get_install_target() + assert flags[0] == "--target" + assert "cuda_packages" in flags[1] + assert str(snap_dir) in flags[1] + + def test_snap_falls_back_to_home_when_no_snap_user_data(self, monkeypatch): + monkeypatch.setenv("SNAP", "/snap/buzz/current") + monkeypatch.delenv("SNAP_USER_DATA", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + with patch("pathlib.Path.mkdir"): + flags = _get_install_target() + assert flags[0] == "--target" + assert "cuda_packages" in flags[1] + + def test_flatpak_uses_xdg_data_home(self, monkeypatch, tmp_path): + monkeypatch.delenv("SNAP", raising=False) + monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz") + monkeypatch.setenv("XDG_DATA_HOME", str(tmp_path)) + with patch("pathlib.Path.mkdir"): + flags = _get_install_target() + assert flags[0] == "--target" + assert "buzz" in flags[1] + assert "cuda_packages" in flags[1] + + def test_virtualenv_returns_empty(self, monkeypatch): + monkeypatch.delenv("SNAP", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + monkeypatch.setenv("VIRTUAL_ENV", "/some/venv") + assert _get_install_target() == [] + + def test_bare_returns_user_flag(self, monkeypatch): + monkeypatch.delenv("SNAP", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + monkeypatch.delenv("VIRTUAL_ENV", raising=False) + with patch.object(sys, "prefix", sys.base_prefix): + assert _get_install_target() == ["--user"] + + +class TestSubprocessHideWindowKwargs: + def test_returns_empty_on_linux(self, monkeypatch): + monkeypatch.setattr(sys, "platform", "linux") + assert _subprocess_hide_window_kwargs() == {} + + def test_returns_startupinfo_on_windows(self, monkeypatch): + monkeypatch.setattr(sys, "platform", "win32") + # Only run on actual windows, otherwise mock the STARTUPINFO + if sys.platform != "win32": + mock_si = MagicMock() + with patch("subprocess.STARTUPINFO", return_value=mock_si): + with patch("subprocess.STARTF_USESHOWWINDOW", 1): + with patch("subprocess.SW_HIDE", 0): + with patch("subprocess.CREATE_NO_WINDOW", 0x08000000): + result = _subprocess_hide_window_kwargs() + assert "startupinfo" in result + assert "creationflags" in result + + +class TestGetPipCmd: + def test_returns_sys_executable_when_pip_available(self): + with patch("subprocess.run") as mock_run: + mock_run.return_value = MagicMock(returncode=0) + cmd = _get_pip_cmd() + assert cmd == [sys.executable, "-m", "pip"] + + def test_bootstraps_pip_when_not_available(self): + responses = [ + MagicMock(returncode=1), # pip --version fails + MagicMock(returncode=0), # ensurepip succeeds + ] + with patch("subprocess.run", side_effect=responses): + cmd = _get_pip_cmd() + assert cmd == [sys.executable, "-m", "pip"] + + def test_raises_when_ensurepip_also_fails(self): + responses = [ + MagicMock(returncode=1), # pip --version fails + MagicMock(returncode=1), # ensurepip fails + ] + with patch("subprocess.run", side_effect=responses): + with pytest.raises(RuntimeError, match="pip is not available"): + _get_pip_cmd() + + +class TestPipInstall: + def test_calls_pip_with_packages(self): + mock_proc = MagicMock() + mock_proc.stdout = iter(["Collecting torch\n", "Successfully installed\n"]) + mock_proc.returncode = 0 + mock_proc.wait.return_value = None + + with patch("buzz.cuda_manager._get_pip_cmd", return_value=[sys.executable, "-m", "pip"]): + with patch("subprocess.Popen", return_value=mock_proc) as mock_popen: + _pip_install(["torch==2.0.0"], extra_args=["--index-url", "https://example.com"]) + + cmd = mock_popen.call_args[0][0] + assert "torch==2.0.0" in cmd + assert "--index-url" in cmd + + def test_raises_on_nonzero_exit(self): + mock_proc = MagicMock() + mock_proc.stdout = iter([]) + mock_proc.returncode = 1 + mock_proc.wait.return_value = None + + with patch("buzz.cuda_manager._get_pip_cmd", return_value=[sys.executable, "-m", "pip"]): + with patch("subprocess.Popen", return_value=mock_proc): + with pytest.raises(RuntimeError, match="pip install failed"): + _pip_install(["torch==2.0.0"]) + + def test_calls_progress_callback(self): + mock_proc = MagicMock() + mock_proc.stdout = iter(["line1\n", "line2\n"]) + mock_proc.returncode = 0 + mock_proc.wait.return_value = None + + calls = [] + with patch("buzz.cuda_manager._get_pip_cmd", return_value=[sys.executable, "-m", "pip"]): + with patch("subprocess.Popen", return_value=mock_proc): + _pip_install(["pkg"], progress_callback=calls.append) + + assert "line1" in calls + assert "line2" in calls + + +class TestInstallCuda: + def test_calls_pip_install_twice(self, monkeypatch): + monkeypatch.delenv("SNAP", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + monkeypatch.setenv("VIRTUAL_ENV", "/some/venv") + + with patch("buzz.cuda_manager._pip_install") as mock_pip: + install_cuda() + + assert mock_pip.call_count == 2 + + def test_passes_progress_callback(self, monkeypatch): + monkeypatch.delenv("SNAP", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + monkeypatch.setenv("VIRTUAL_ENV", "/some/venv") + + messages = [] + with patch("buzz.cuda_manager._pip_install"): + install_cuda(progress_callback=messages.append) + + assert any("NVIDIA" in m for m in messages) + assert any("PyTorch" in m for m in messages) + + def test_linux_excludes_linux_only_packages_on_windows(self, monkeypatch): + monkeypatch.setattr(sys, "platform", "win32") + monkeypatch.delenv("SNAP", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + + captured = [] + + def fake_pip(packages, **kwargs): + captured.append(packages) + + with patch("buzz.cuda_manager._pip_install", side_effect=fake_pip): + with patch("buzz.cuda_manager._get_install_target", return_value=[]): + install_cuda() + + nvidia_pkgs = captured[0] + for pkg in CUDA_NVIDIA_PACKAGES_LINUX: + assert pkg not in nvidia_pkgs diff --git a/tests/cuda_setup_test.py b/tests/cuda_setup_test.py new file mode 100644 index 000000000..2eb4f47ac --- /dev/null +++ b/tests/cuda_setup_test.py @@ -0,0 +1,261 @@ +import sys +from unittest.mock import patch + + +class TestGetCudaTargetDir: + def test_returns_snap_path(self, monkeypatch, tmp_path): + monkeypatch.setenv("SNAP_USER_DATA", str(tmp_path)) + monkeypatch.delenv("FLATPAK_ID", raising=False) + from buzz.cuda_setup import _get_cuda_target_dir + result = _get_cuda_target_dir() + assert result == tmp_path / "cuda_packages" + + def test_returns_flatpak_path(self, monkeypatch, tmp_path): + monkeypatch.delenv("SNAP_USER_DATA", raising=False) + monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz") + monkeypatch.setenv("XDG_DATA_HOME", str(tmp_path)) + from buzz.cuda_setup import _get_cuda_target_dir + result = _get_cuda_target_dir() + assert result == tmp_path / "buzz" / "cuda_packages" + + def test_returns_none_when_no_env(self, monkeypatch): + monkeypatch.delenv("SNAP_USER_DATA", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + from buzz.cuda_setup import _get_cuda_target_dir + result = _get_cuda_target_dir() + assert result is None + + def test_flatpak_falls_back_to_home(self, monkeypatch): + monkeypatch.delenv("SNAP_USER_DATA", raising=False) + monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz") + monkeypatch.delenv("XDG_DATA_HOME", raising=False) + from buzz.cuda_setup import _get_cuda_target_dir + result = _get_cuda_target_dir() + assert result is not None + assert "cuda_packages" in str(result) + + +class TestGetSitePackagesDirs: + def test_adds_cuda_target_to_sys_path(self, monkeypatch, tmp_path): + cuda_target = tmp_path / "cuda_packages" + cuda_target.mkdir() + monkeypatch.setenv("SNAP_USER_DATA", str(tmp_path)) + monkeypatch.delenv("FLATPAK_ID", raising=False) + + from buzz.cuda_setup import _get_site_packages_dirs + dirs = _get_site_packages_dirs() + + assert cuda_target in dirs + assert str(cuda_target) in sys.path + + def test_returns_list_including_existing_site_packages(self, monkeypatch): + monkeypatch.delenv("SNAP_USER_DATA", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + + from buzz.cuda_setup import _get_site_packages_dirs + dirs = _get_site_packages_dirs() + assert isinstance(dirs, list) + + +class TestCollectCudaLibDirs: + def test_includes_torch_lib(self, tmp_path): + torch_lib = tmp_path / "torch" / "lib" + torch_lib.mkdir(parents=True) + + from buzz.cuda_setup import _collect_cuda_lib_dirs + dirs = _collect_cuda_lib_dirs(tmp_path) + assert str(torch_lib) in dirs + + def test_includes_nvidia_package_libs(self, tmp_path): + nvidia_cublas = tmp_path / "nvidia" / "cublas" / "lib" + nvidia_cublas.mkdir(parents=True) + + from buzz.cuda_setup import _collect_cuda_lib_dirs + dirs = _collect_cuda_lib_dirs(tmp_path) + assert str(nvidia_cublas) in dirs + + def test_returns_empty_when_no_dirs_exist(self, tmp_path): + from buzz.cuda_setup import _collect_cuda_lib_dirs + dirs = _collect_cuda_lib_dirs(tmp_path) + assert dirs == [] + + +class TestGetNvidiaPackageLibDirs: + def test_finds_nvidia_lib_dirs(self, monkeypatch, tmp_path): + sp = tmp_path / "site-packages" + nvidia_lib = sp / "nvidia" / "cublas" / "lib" + nvidia_lib.mkdir(parents=True) + + monkeypatch.delenv("SNAP_USER_DATA", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + + with patch("buzz.cuda_setup._get_site_packages_dirs", return_value=[sp]): + from buzz.cuda_setup import _get_nvidia_package_lib_dirs + dirs = _get_nvidia_package_lib_dirs() + + assert nvidia_lib in dirs + + def test_finds_torch_lib_dir(self, monkeypatch, tmp_path): + sp = tmp_path / "site-packages" + torch_lib = sp / "torch" / "lib" + torch_lib.mkdir(parents=True) + + monkeypatch.delenv("SNAP_USER_DATA", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + + with patch("buzz.cuda_setup._get_site_packages_dirs", return_value=[sp]): + from buzz.cuda_setup import _get_nvidia_package_lib_dirs + dirs = _get_nvidia_package_lib_dirs() + + assert torch_lib in dirs + + +class TestSetupLinuxCuda: + def test_skips_when_no_cuda_target(self, monkeypatch): + monkeypatch.delenv("SNAP_USER_DATA", raising=False) + monkeypatch.delenv("FLATPAK_ID", raising=False) + monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False) + + with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=None): + with patch("buzz.cuda_setup._collect_site_packages_cuda_lib_dirs", return_value=[]): + with patch("multiprocessing.parent_process", return_value=None): + from buzz.cuda_setup import _setup_linux_cuda + _setup_linux_cuda() # should not raise + + def test_skips_when_cuda_target_does_not_exist(self, monkeypatch, tmp_path): + monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False) + nonexistent = tmp_path / "nonexistent" + with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=nonexistent): + with patch("buzz.cuda_setup._collect_site_packages_cuda_lib_dirs", return_value=[]): + with patch("multiprocessing.parent_process", return_value=None): + from buzz.cuda_setup import _setup_linux_cuda + _setup_linux_cuda() # should not raise + + def test_skips_when_no_torch_lib(self, monkeypatch, tmp_path): + monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False) + cuda_target = tmp_path / "cuda_packages" + cuda_target.mkdir() + with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target): + with patch("buzz.cuda_setup._collect_site_packages_cuda_lib_dirs", return_value=[]): + with patch("multiprocessing.parent_process", return_value=None): + from buzz.cuda_setup import _setup_linux_cuda + _setup_linux_cuda() # should not raise + + def test_reexecs_when_sentinel_not_set(self, monkeypatch, tmp_path): + cuda_target = tmp_path / "cuda_packages" + torch_lib = cuda_target / "torch" / "lib" + torch_lib.mkdir(parents=True) + + monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False) + monkeypatch.delenv("LD_LIBRARY_PATH", raising=False) + + with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target): + with patch("buzz.cuda_setup._collect_cuda_lib_dirs", return_value=[str(torch_lib)]): + with patch("multiprocessing.parent_process", return_value=None): + with patch("os.execv", side_effect=OSError("test")): + with patch("buzz.cuda_setup._preload_linux_libraries_fallback") as mock_fallback: + from buzz.cuda_setup import _setup_linux_cuda + _setup_linux_cuda() + + mock_fallback.assert_called_once() + + def test_no_reexec_when_sentinel_already_set(self, monkeypatch, tmp_path): + cuda_target = tmp_path / "cuda_packages" + torch_lib = cuda_target / "torch" / "lib" + torch_lib.mkdir(parents=True) + + monkeypatch.setenv("BUZZ_CUDA_SETUP_DONE", "1") + + with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target): + with patch("os.execv") as mock_execv: + from buzz.cuda_setup import _setup_linux_cuda + _setup_linux_cuda() + + mock_execv.assert_not_called() + + def test_no_reexec_in_worker_subprocess(self, monkeypatch, tmp_path): + cuda_target = tmp_path / "cuda_packages" + torch_lib = cuda_target / "torch" / "lib" + torch_lib.mkdir(parents=True) + + monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False) + + with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target): + with patch("multiprocessing.parent_process", return_value=object()): + with patch("os.execv") as mock_execv: + from buzz.cuda_setup import _setup_linux_cuda + _setup_linux_cuda() + + mock_execv.assert_not_called() + + +class TestSetupWindowsDllDirectories: + def test_calls_add_dll_directory(self, tmp_path): + lib_dir = tmp_path / "lib" + lib_dir.mkdir() + + with patch("buzz.cuda_setup._get_nvidia_package_lib_dirs", return_value=[lib_dir]): + with patch("buzz.cuda_setup.os") as mock_os: + from buzz.cuda_setup import _setup_windows_dll_directories + _setup_windows_dll_directories() + + mock_os.add_dll_directory.assert_called_once_with(str(lib_dir)) + + def test_logs_warning_when_no_lib_dirs(self): + with patch("buzz.cuda_setup._get_nvidia_package_lib_dirs", return_value=[]): + with patch("buzz.cuda_setup.logger") as mock_logger: + from buzz.cuda_setup import _setup_windows_dll_directories + _setup_windows_dll_directories() + + mock_logger.warning.assert_called_once() + + +class TestSetupCudaLibraries: + def test_calls_windows_setup_on_windows(self): + with patch("platform.system", return_value="Windows"): + with patch("buzz.cuda_setup._setup_windows_dll_directories") as mock_win: + from buzz.cuda_setup import setup_cuda_libraries + setup_cuda_libraries() + mock_win.assert_called_once() + + def test_calls_linux_setup_on_linux(self): + with patch("platform.system", return_value="Linux"): + with patch("buzz.cuda_setup._setup_linux_cuda") as mock_linux: + from buzz.cuda_setup import setup_cuda_libraries + setup_cuda_libraries() + mock_linux.assert_called_once() + + def test_does_nothing_on_macos(self): + with patch("platform.system", return_value="Darwin"): + with patch("buzz.cuda_setup._setup_windows_dll_directories") as mock_win: + with patch("buzz.cuda_setup._setup_linux_cuda") as mock_linux: + from buzz.cuda_setup import setup_cuda_libraries + setup_cuda_libraries() + mock_win.assert_not_called() + mock_linux.assert_not_called() + + +class TestPreloadLinuxLibrariesFallback: + def test_loads_so_files(self, tmp_path): + lib_dir = tmp_path / "lib" + lib_dir.mkdir() + so_file = lib_dir / "libfoo.so.1" + so_file.touch() + + with patch("buzz.cuda_setup._get_nvidia_package_lib_dirs", return_value=[lib_dir]): + with patch("ctypes.CDLL") as mock_cdll: + from buzz.cuda_setup import _preload_linux_libraries_fallback + _preload_linux_libraries_fallback() + mock_cdll.assert_called() + + def test_skips_libnvblas(self, tmp_path): + lib_dir = tmp_path / "lib" + lib_dir.mkdir() + skip_file = lib_dir / "libnvblas.so.1" + skip_file.touch() + + with patch("buzz.cuda_setup._get_nvidia_package_lib_dirs", return_value=[lib_dir]): + with patch("ctypes.CDLL") as mock_cdll: + from buzz.cuda_setup import _preload_linux_libraries_fallback + _preload_linux_libraries_fallback() + mock_cdll.assert_not_called() diff --git a/tests/model_loader_test.py b/tests/model_loader_test.py index 331cd009a..f14004358 100644 --- a/tests/model_loader_test.py +++ b/tests/model_loader_test.py @@ -152,7 +152,7 @@ def test_str_whisper(self): model = TranscriptionModel( model_type=ModelType.WHISPER, whisper_model_size=WhisperModelSize.TINY ) - assert str(model) == "Whisper (Tiny)" + assert str(model) == "OpenAI Whisper (Tiny)" def test_str_whisper_cpp(self): model = TranscriptionModel( diff --git a/tests/transcriber/recording_transcriber_test.py b/tests/transcriber/recording_transcriber_test.py index 3ceef3cc8..6a118f43a 100644 --- a/tests/transcriber/recording_transcriber_test.py +++ b/tests/transcriber/recording_transcriber_test.py @@ -414,6 +414,7 @@ def test_start_local_whisper_server_creates_openai_client(self): # Mock a successful process mock_process = MagicMock() mock_process.poll.return_value = None # Process is running + mock_process.stderr = iter([]) mock_popen.return_value = mock_process transcriber = RecordingTranscriber( @@ -522,7 +523,7 @@ def test_start_local_whisper_server_handles_failure(self): # Mock a failed process mock_process = MagicMock() mock_process.poll.return_value = 1 # Process terminated with error - mock_process.stderr.read.return_value = b"Error loading model" + mock_process.stderr = iter([b"Error loading model"]) mock_popen.return_value = mock_process transcriber = RecordingTranscriber( diff --git a/tests/transcriber/whisper_file_transcriber_test.py b/tests/transcriber/whisper_file_transcriber_test.py index 2cf34b0ba..c787087a3 100644 --- a/tests/transcriber/whisper_file_transcriber_test.py +++ b/tests/transcriber/whisper_file_transcriber_test.py @@ -81,13 +81,13 @@ class TestWhisperFileTranscriber: pytest.param( "/a/b/c.mp4", OutputFormat.SRT, - "/a/b/c-translate--Whisper-tiny.srt", + "/a/b/c-translate--OpenAI Whisper-tiny.srt", marks=pytest.mark.skipif(platform.system() == "Windows", reason=""), ), pytest.param( "C:\\a\\b\\c.mp4", OutputFormat.SRT, - "C:\\a\\b\\c-translate--Whisper-tiny.srt", + "C:\\a\\b\\c-translate--OpenAI Whisper-tiny.srt", marks=pytest.mark.skipif(platform.system() != "Windows", reason=""), ), ], diff --git a/tests/widgets/audio_meter_widget_test.py b/tests/widgets/audio_meter_widget_test.py index d91e5d702..62f9e142c 100644 --- a/tests/widgets/audio_meter_widget_test.py +++ b/tests/widgets/audio_meter_widget_test.py @@ -54,3 +54,30 @@ def test_fixed_height(self, qtbot: QtBot): widget = AudioMeterWidget() qtbot.add_widget(widget) assert widget.height() == 56 + + def test_update_queue_size(self, qtbot: QtBot): + widget = AudioMeterWidget() + qtbot.add_widget(widget) + widget.update_queue_size(5) + assert widget.queue_size == 5 + + def test_reset_amplitude_clears_queue_size(self, qtbot: QtBot): + widget = AudioMeterWidget() + qtbot.add_widget(widget) + widget.update_queue_size(3) + widget.reset_amplitude() + assert widget.queue_size == 0 + + def test_initial_queue_size_is_zero(self, qtbot: QtBot): + widget = AudioMeterWidget() + qtbot.add_widget(widget) + assert widget.queue_size == 0 + + def test_paint_event_does_not_raise(self, qtbot: QtBot): + widget = AudioMeterWidget() + qtbot.add_widget(widget) + widget.show() + widget.update_amplitude(0.5) + widget.update_average_amplitude(0.1) + widget.update_queue_size(2) + widget.repaint() # triggers paintEvent diff --git a/tests/widgets/conftest.py b/tests/widgets/conftest.py index 67b1ec05b..88a1cb4e4 100644 --- a/tests/widgets/conftest.py +++ b/tests/widgets/conftest.py @@ -1,20 +1,49 @@ -import gc import logging import pytest -from unittest.mock import patch +from unittest.mock import patch, MagicMock from buzz.settings.settings import Settings +@pytest.fixture(autouse=True) +def mock_amplitude_listener_stream(): + # RecordingAmplitudeListener creates a real sounddevice.InputStream that + # fires C-level callbacks from a background thread. If the Qt object is + # deleted (via deleteLater + processEvents) while the C thread is still + # active it causes a segfault or "Exception ignored from cffi callback" + # that contaminates later tests. Patch it out so no real audio hardware + # stream is created during widget tests. + mock_stream = MagicMock() + mock_stream.samplerate = 16000 + with patch("buzz.recording.sounddevice.InputStream", return_value=mock_stream): + yield + + @pytest.fixture(autouse=True) def mock_get_password(): with patch("buzz.widgets.recording_transcriber_widget.get_password", return_value=None): yield +@pytest.fixture(autouse=True) +def mock_message_box(): + # Prevent QMessageBox dialogs from blocking tests (e.g. when a background + # transcription thread emits an error after the test has already "passed") + with patch("buzz.widgets.recording_transcriber_widget.QMessageBox"): + yield + + @pytest.fixture(autouse=True) def force_gc_between_tests(): yield - gc.collect() + from PyQt6.QtCore import QCoreApplication + # Flush pending deleteLater() and queued cross-thread signals. + # We intentionally do NOT call gc.collect() here: PyQt6 signal/slot + # infrastructure can leave Python tuples with corrupted type pointers in + # CPython's cyclic-GC tracking list, causing a PyTuple_GET_SIZE assertion + # failure inside gc.collect(). Python's reference-counting handles + # non-cyclic objects; PyQt6's own lifecycle management handles Qt cycles. + for _ in range(3): + QCoreApplication.processEvents() @pytest.fixture(scope="package") diff --git a/tests/widgets/cuda_installer_widget_test.py b/tests/widgets/cuda_installer_widget_test.py new file mode 100644 index 000000000..61db84a63 --- /dev/null +++ b/tests/widgets/cuda_installer_widget_test.py @@ -0,0 +1,132 @@ +from unittest.mock import MagicMock, patch + +import pytest +from pytestqt.qtbot import QtBot + +from buzz.widgets.cuda_installer_widget import CudaInstallerDialog, _InstallWorker + + +class TestInstallWorker: + def test_calls_install_cuda_and_emits_finished(self): + worker = _InstallWorker() + finished_mock = MagicMock() + worker.signals.finished.connect(finished_mock) + + with patch("buzz.cuda_manager.install_cuda") as mock_install: + worker.run() + + mock_install.assert_called_once() + finished_mock.assert_called_once() + + def test_emits_error_on_exception(self): + worker = _InstallWorker() + error_mock = MagicMock() + worker.signals.error.connect(error_mock) + + with patch("buzz.cuda_manager.install_cuda", side_effect=RuntimeError("fail")): + worker.run() + + error_mock.assert_called_once_with("fail") + + def test_passes_progress_callback_to_install(self): + worker = _InstallWorker() + progress_mock = MagicMock() + worker.signals.progress.connect(progress_mock) + + def fake_install(progress_callback=None): + if progress_callback: + progress_callback("installing...") + + with patch("buzz.cuda_manager.install_cuda", side_effect=fake_install): + worker.run() + + progress_mock.assert_called_once_with("installing...") + + +class TestCudaInstallerDialog: + def test_dialog_creates_with_correct_title(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + assert "GPU" in dialog.windowTitle() or "Nvidia" in dialog.windowTitle() + + def test_install_button_exists(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + assert dialog.install_button is not None + assert dialog.install_button.isEnabled() + + def test_decline_button_exists(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + assert dialog.decline_button is not None + + def test_progress_bar_hidden_initially(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + assert not dialog.progress_bar.isVisible() + + def test_log_view_hidden_initially(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + assert not dialog.log_view.isVisible() + + def test_install_click_shows_progress_bar(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + dialog.show() + + with patch("buzz.widgets.cuda_installer_widget.QThreadPool"): + dialog._on_install_clicked() + + assert dialog.progress_bar.isVisible() + assert dialog.log_view.isVisible() + assert not dialog.install_button.isEnabled() + assert not dialog.decline_button.isEnabled() + + def test_on_progress_appends_to_log(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + dialog._on_progress("step 1") + assert "step 1" in dialog.log_view.toPlainText() + + def test_on_finished_re_enables_install_button(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + dialog.install_button.setEnabled(False) + dialog._on_finished() + assert dialog.install_button.isEnabled() + + def test_on_finished_hides_progress_bar(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + dialog.progress_bar.setVisible(True) + dialog._on_finished() + assert not dialog.progress_bar.isVisible() + + def test_on_finished_shows_completion_message(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + dialog._on_finished() + assert "complete" in dialog.status_label.text().lower() or "restart" in dialog.status_label.text().lower() + + def test_on_error_shows_error_message(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + dialog._on_error("something went wrong") + assert "something went wrong" in dialog.status_label.text() + + def test_on_error_re_enables_buttons(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + dialog.install_button.setEnabled(False) + dialog.decline_button.setEnabled(False) + dialog._on_error("fail") + assert dialog.install_button.isEnabled() + assert dialog.decline_button.isEnabled() + + def test_on_error_hides_progress_bar(self, qtbot: QtBot): + dialog = CudaInstallerDialog() + qtbot.add_widget(dialog) + dialog.progress_bar.setVisible(True) + dialog._on_error("fail") + assert not dialog.progress_bar.isVisible() diff --git a/tests/widgets/model_type_combo_box_test.py b/tests/widgets/model_type_combo_box_test.py index 39babb63e..121a6e432 100644 --- a/tests/widgets/model_type_combo_box_test.py +++ b/tests/widgets/model_type_combo_box_test.py @@ -11,16 +11,16 @@ class TestModelTypeComboBox: [ pytest.param( [ - "Whisper", "Whisper.cpp", "Hugging Face", "Faster Whisper", + "OpenAI Whisper", "OpenAI Whisper API", # Faster Whisper is not available on macOS x86_64 ] if not (platform.system() == "Darwin" and platform.machine() == "x86_64") else [ - "Whisper", "Whisper.cpp", "Hugging Face", + "OpenAI Whisper", "OpenAI Whisper API", ], ), diff --git a/uv.lock b/uv.lock index 6ebef32f6..116a7a14b 100644 --- a/uv.lock +++ b/uv.lock @@ -19,7 +19,7 @@ overrides = [ [[package]] name = "absl-py" version = "2.3.1" -source = { registry = "https://pypi.org/simple/" } +source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/10/2a/c93173ffa1b39c1d0395b7e842bbdc62e556ca9d8d3b5572926f3e4ca752/absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9", size = 116588, upload-time = "2025-07-03T09:31:44.05Z" 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name = "aiosignal" version = "1.4.0" -source = { registry = "https://pypi.org/simple/" } +source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "frozenlist" }, { name = "typing-extensions" }, @@ -104,7 +104,7 @@ wheels = [ [[package]] name = "alembic" version = "1.17.2" -source = { registry = "https://pypi.org/simple/" } +source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "mako", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" }, { name = "sqlalchemy", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" }, @@ -118,7 +118,7 @@ wheels = [ [[package]] name = "altgraph" version = "0.17.5" -source = { registry = "https://pypi.org/simple/" } +source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/7e/f8/97fdf103f38fed6792a1601dbc16cc8aac56e7459a9fff08c812d8ae177a/altgraph-0.17.5.tar.gz", hash = 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}, @@ -155,7 +155,7 @@ wheels = [ [[package]] name = "astroid" version = "2.15.8" -source = { registry = "https://pypi.org/simple/" } +source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "lazy-object-proxy" }, { name = "wrapt" }, @@ -168,7 +168,7 @@ wheels = [ [[package]] name = "asttokens" version = "3.0.1" -source = { registry = "https://pypi.org/simple/" } +source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/be/a5/8e3f9b6771b0b408517c82d97aed8f2036509bc247d46114925e32fe33f0/asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7", size = 62308, upload-time = "2025-11-15T16:43:48.578Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/d2/39/e7eaf1799466a4aef85b6a4fe7bd175ad2b1c6345066aa33f1f58d4b18d0/asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a", size = 27047, upload-time = 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