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Sandy Meister [G16]
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fix: minor wording optimisations
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Setup/README.md

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### Prerequisites
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LM Studio must be running before the application starts:
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1. Download from [lmstudio.ai](https://lmstudio.ai)
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2. Download a `meta-llama-3.1-8b-instruct` model in the `Model Search` tab.
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3. Start the local server on port `1234`, using the `Developer` tab on the left side.
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1. Download from [lmstudio.ai](https://lmstudio.ai) and install it.
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2. Download a `meta-llama-3.1-8b-instruct` model in the `Model Search` tab on the left.
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3. Start the local server on port `1234`, using the `Developer` tab on the left.
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> **Note:** LM Studio is required for all adapters, including the mock adapter. The mock adapter requires no robot hardware, but LM Studio must still be running for LLM parsing.
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A successful reply confirms the adapter and IP are configured correctly.
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5. Verify that the robot IP in `C:\Program Files\Speech-to-Cobot-Backend\Backend\robot_controllers\<your_robot_controller>.py` matches the actual robot IP. If using UR, also set `PC_IP` in `Backend/config_backend.py` to the backend machine's adapter IP — this is required for UR motion callbacks.
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> Config files are plain text and can be opened with any text editor, including Notepad. No Python installation is needed to edit them.
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> All source files are python and can be opened with any text editor, including Notepad. No Python installation is needed to edit them.
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6. If the frontend and backend run on **different machines**, both need to be on the same network. Configure a static IP on each machine's Ethernet adapter facing the other (same process as step 2). Then update `BACKEND_IPS` in `Frontend/config_frontend.py` with the backend machine's IP. If both run on the **same machine**, `localhost` is correct and no network configuration is needed.
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