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docs: move import_run changes to correct branch
Restore import_run files to main state on dashboard branch. These changes belong in the import_run PR, not the dashboard PR.
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# Import & Run Notebooks and Web-Based Git Repositories
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# Import & Run notebooks and web based Git repositories
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On the Import & Run page, Backend.AI supports executing Jupyter notebook files and importing web-based Git repositories
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On the 'Import & Run' page, Backend.AI supports executing Jupyter notebook files and importing web based Git repositories
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such as GitHub and GitLab on the fly. You don't need to create or download into your local storage
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and re-upload it. The only thing you have to do is input a valid URL you want to execute or import,
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and click the button on the right side.
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<a id="import-and-run-jupyter-notebooks"></a>
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## Import and Run Jupyter Notebooks
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## Import and run Jupyter notebooks
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To import and run Jupyter notebooks, you need the valid URL for the notebook file.
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For example, if you want to execute a Jupyter notebook on GitHub, you can copy and paste
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the URL and click the `Import & Run` button.
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To import Jupyter notebooks and run, you need one thing, the valid URL for the notebook file.
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For example, if you want execute Jupyter notebook that's in github, you can copy and paste
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the URL and click 'IMPORT & RUN' button.
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:::note
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When you try to import and run a Jupyter notebook file with a local address,
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it will be regarded as invalid. You must input a URL that does not start with localhost.
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When you trying to IMPORT & RUN Jupyter notebook file with local address,
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It will be regarded as invalid. You have to input URL which is not starting from localhost.
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:::
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![](../images/import_run_notebook.png)
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After clicking the button, a dialog appears. This is the same session launcher dialog that appears
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when you start a session from the Sessions page or Summary page. The difference between importing a notebook
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and starting a new session is that importing a notebook automatically imports the Jupyter notebook from the
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URL. The rest is the same. Set the environment and resource allocation as needed, then click the `Launch` button.
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After clicking the button, the dialog appears. This is a session launcher dialog same as
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when you starts the session at Sessions page or Summary page. Difference between import notebook
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and starting a new session is that import notebook automatically imports Jupyter notebook in the
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URL, but simple starting a new session doesn't do that. the rest is same. Click 'LAUNCH' button to
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the notebook after setting the environments and resource allocation as needed.
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:::note
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The pop-up blocker must be turned off before clicking the `Launch` button to immediately
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see the running notebook window. Also, if there are not enough resources to execute the session,
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the imported Jupyter notebook will not run.
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The pop-up blocker must be turned off before clicking 'LAUNCH' button to immediately
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see the running notebook window. Also, if there's not enough resources to execute the session,
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imported Jupyter notebook will not run.
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:::
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![](../images/session_launcher_in_importing_notebook.png)
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You can see the importing operation is successfully completed in the Sessions page.
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You can see the importing operation is successfully completed in Sessions page.
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![](../images/sessions_page_with_imported_notebook.png)
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<a id="create-executable-jupyter-notebook-button"></a>
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## Create Executable Jupyter Notebook Button
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## Create executable Jupyter notebook button
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You can also create an HTML or Markdown badge for a Jupyter notebook URL.
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Input a valid Jupyter notebook URL and click the `Notebook Badge Code (HTML)` or
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`Notebook Badge Code (Markdown)` copy button to copy the badge code to your clipboard.
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The badge code creates a link that directly opens a session with the notebook.
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You can use the badge code by inserting it in GitHub repositories or anywhere that supports HTML or Markdown.
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You can also create HTML or Markdown button about Jupyter notebook URL, too.
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Input a valid Jupyter notebook URL and click 'CREATE' button. It will show code blocks that directly
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links to creating a session with notebook. You can see the badge code working by inserting it in
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the GitHub repositories or where it supports html or markdown.
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:::note
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Your account must be logged in before clicking the button. Otherwise, you have to log in first.
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your account must be logined before clicking the button. Otherwise, you have to login first.
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![](../images/create_notebook_button.png)
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## Importing GitHub Repositories
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Importing a GitHub repository is similar to importing and running a Jupyter notebook.
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All you have to do is fill in the GitHub repository URL, select a storage host from the
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`Storage Host` dropdown, and click the `Get To Folder` button.
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Importing a GitHub repository is similar to import and running Jupyter notebook.
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All you have to do is to fill out with github repository URL and click 'GET TO
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FOLDER' button. If you can access to more than one storage host, you can select one from the list.
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![](../images/import_github_repository.png)
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:::note
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If there are not enough resources to start a session or the folder count is at
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the limit, then importing the repository will fail. Please check the resource
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If there are not enough resources to start a session or folder count is at
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the limit, then importing repository will fail. Please check resource
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statistics panel and Data & Storage page before importing the repository.
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You can see the repository is successfully imported as a storage folder with its
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You can see the repository is successfully imported as a data folder with its
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name.
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![](../images/import_github_repository_result.png)
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![](../images/import_gitlab_repository.png)
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:::note
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If there is a storage folder that has the same name already, the system will append
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`_` (underscore) and a number to the imported repository folder name.
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:::
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If there's data folder that has the same name already, the system will append
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`_` (underscore) and number in the imported repository folder.
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:::
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# ノートブックとウェブベースのGitリポジトリをインポートして実行
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「インポート & 実行」ページでは、Backend.AIがJupyterノートブックファイルの実行や、GitHubやGitLabなどのウェブベースのGitリポジトリの即時インポートをサポートしています。ローカルストレージに作成またはダウンロードして再アップロードする必要はありません。実行またはインポートしたい有効なURLを入力し、右側のボタンをクリックするだけです。
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On the 'Import & Run' page, Backend.AIは、Jupyterノートブックファイルの実行や、GitHubやGitLabなどのウェブベースのGitリポジトリの即時インポートをサポートしています。ローカルストレージに作成またはダウンロードして再アップロードする必要はありません。実行またはインポートしたい有効なURLを入力し、右側のボタンをクリックするだけです。
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<a id="import-and-run-jupyter-notebooks"></a>
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## Jupyterノートブックをインポートして実行する
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Jupyterノートブックをインポートして実行するには、ノートブックファイルの有効なURLが必要です。
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例えば、GitHubにあるJupyterノートブックを実行したい場合、そのURLをコピーして貼り付け、
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「インポート & 実行」ボタンをクリックします。
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To import Jupyter notebooks and run, you need one thing, the valid URL for the notebook file.
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For example, if you want execute Jupyter notebook that's in github, you can copy and paste
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the URL and click 'IMPORT & RUN' button.
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:::note
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![](../images/import_run_notebook.png)
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ボタンをクリックすると、ダイアログが表示されます。これはセッションページやサマリーページからセッションを開始する場合と同じセッションランチャーダイアログです。ノートブックのインポートと新しいセッションの開始の違いは、ノートブックのインポートではURLにあるJupyterノートブックが自動的にインポートされることです。残りは同じです。必要に応じて環境とリソース配分を設定した後、「ローンチ」ボタンをクリックします。
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After clicking the button, the dialog appears. This is a session launcher dialog same as
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when you starts the session at Sessions page or Summary page. Difference between import notebook
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and starting a new session is that import notebook automatically imports Jupyter notebook in the
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URL, but simple starting a new session doesn't do that. the rest is same. Click 'LAUNCH' button to
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the notebook after setting the environments and resource allocation as needed.
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:::note
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「ローンチ」ボタンをクリックする前に、ポップアップブロッカーをオフにする必要があります。そうしないと、実行中のノートブックウィンドウがすぐに表示されません。また、セッションを実行するためのリソースが不足している場合、インポートされたJupyterノートブックは実行されません。
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The pop-up blocker must be turned off before clicking 'LAUNCH' button to immediately
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see the running notebook window. Also, if there's not enough resources to execute the session,
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imported Jupyter notebook will not run.
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![](../images/session_launcher_in_importing_notebook.png)
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セッションページでインポート操作が正常に完了したことを確認できます。
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You can see the importing operation is successfully completed in Sessions page.
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![](../images/sessions_page_with_imported_notebook.png)
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<a id="create-executable-jupyter-notebook-button"></a>
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## 実行可能なJupyterノートブックバッジの作成
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## Create executable Jupyter notebook button
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You can also create HTML or Markdown button about Jupyter notebook URL, too.
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Input a valid Jupyter notebook URL and click 'CREATE' button. It will show code blocks that directly
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links to creating a session with notebook. You can see the badge code working by inserting it in
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the GitHub repositories or where it supports html or markdown.
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JupyterノートブックURLのHTMLまたはMarkdownバッジを作成することもできます。
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有効なJupyterノートブックURLを入力し、「ノートブックバッジコード(HTML)」または
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「ノートブックバッジコード(マークダウン)」コピーボタンをクリックすると、バッジコードがクリップボードにコピーされます。
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バッジコードは、ノートブックでセッションを直接作成するリンクを含みます。
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このバッジコードをGitHubリポジトリやHTMLまたはMarkdownをサポートする場所に挿入して使用できます。
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:::note
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ボタンをクリックする前にアカウントにログインしている必要があります。ログインしていない場合は、まずログインしてください。
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your account must be logined before clicking the button. Otherwise, you have to login first.
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![](../images/create_notebook_button.png)
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<a id="importing-github-repositories"></a>
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## GitHubリポジトリのインポート
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## Importing GitHub Repositories
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GitHubリポジトリのインポートは、Jupyterノートブックのインポートと実行に似ています。
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GitHubリポジトリのURLを入力し、「ストレージホスト」ドロップダウンからストレージホストを選択して、
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「フォルダに移動」ボタンをクリックするだけです。
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Importing a GitHub repository is similar to import and running Jupyter notebook.
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All you have to do is to fill out with github repository URL and click 'GET TO
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FOLDER' button. If you can access to more than one storage host, you can select one from the list.
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![](../images/import_github_repository.png)
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セッションを開始するためのリソースが不足している場合やフォルダ数が制限に達している場合、リポジトリのインポートは失敗します。リポジトリをインポートする前に、リソース統計パネルとデータ&ストレージページを確認してください。
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If there are not enough resources to start a session or folder count is at
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the limit, then importing repository will fail. Please check resource
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statistics panel and Data & Storage page before importing the repository.
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リポジトリがその名前のストレージフォルダとして正常にインポートされたことを確認できます。
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You can see the repository is successfully imported as a data folder with its
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![](../images/import_github_repository_result.png)
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## GitLabリポジトリのインポート
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## Importing GitLab Repositories
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[GitHubリポジトリのインポート](#importing-github-repositories)とほぼ同じですが、
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インポートするブランチ名を明示的に設定する必要があります。
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From 22.03, Backend.AI supports importing from GitLab. It's almost the same as
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[Importing GitHub Repositories](#importing-github-repositories),
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but you need to explicitly set the branch name to import.
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![](../images/import_gitlab_repository.png)
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同じ名前のストレージフォルダがすでに存在する場合、システムはインポートされたリポジトリフォルダ名に`_`(アンダースコア)と番号を追加します。
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If there's data folder that has the same name already, the system will append
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`_` (underscore) and number in the imported repository folder.
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packages/backend.ai-webui-docs/src/ko/import_run/import_run.md

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## Jupyter notebook 파일 가져오기 및 실행
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Jupyter notebook 파일을 가져와서 실행하기 위해서는 notebook 파일에 대한 유효한 URL이 필요합니다. GitHub에 있는 Jupyter notebook을 실행하고자 한다면, 입력 필드에 해당 파일의 URL을 복사해서 붙여넣은 뒤, '가져와서 실행' 버튼을 클릭합니다.
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Jupyter notebook 파일을 가져와서 실행하기 위해서는 notebook 파일에 대한 유효한 URL이 필요합니다. GitHub에 있는 Jupyter notebook을 실행하고자 한다면, 입력 필드에 해당 파일의 URL을 복사해서 붙여넣은 뒤, '가져와서 실행' 버튼을 클릭하면 됩니다.
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## 실행 가능한 Jupyter notebook 버튼 생성
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Jupyter notebook URL에 대한 HTML 또는 Markdown 배지를 생성할 수도 있습니다. 유효한 Jupyter notebook URL을 입력하고 '노트북 배지 코드(HTML)' 또는 '노트북 배지 코드(Markdown)' 복사 버튼을 클릭하면 배지 코드가 클립보드에 복사됩니다. 배지 코드는 notebook으로 세션을 직접 생성하는 링크를 포함합니다. 이 배지 코드를 GitHub 저장소나 HTML 또는 Markdown을 지원하는 곳에 삽입하여 사용할 수 있습니다.
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Jupyter notebook URL에 대한 HTML 또는 Markdown 버튼을 생성할 수도 있습니다. 유효한 Jupyter notebook URL을 입력하고 'Create' 버튼을 클릭합니다. notebook으로 세션을 생성하는 링크가 포함된 코드 블록이 표시됩니다. 이 배지 코드를 GitHub 저장소나 HTML 또는 Markdown을 지원하는 곳에 삽입하여 사용할 수 있습니다.
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버튼을 클릭하기 전에 계정에 로그인되어 있어야 합니다. 그렇지 않으면 먼저 로그인해야 합니다.
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## GitHub 저장소 가져오기
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GitHub 저장소 가져오기는 Jupyter notebook 가져오기 및 실행과 유사합니다. GitHub 저장소 URL을 입력하고 '스토리지 호스트' 드롭다운에서 스토리지 호스트를 선택한 뒤 '가져오기' 버튼을 클릭합니다.
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GitHub 저장소 가져오기는 Jupyter notebook 가져오기 및 실행과 유사합니다. GitHub 저장소 URL을 입력하고 '가져오기' 버튼을 클릭하기만 하면 됩니다. 두 개 이상의 스토리지 호스트에 접근할 수 있는 경우, 목록에서 하나를 선택할 수 있습니다.
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![](../images/import_github_repository.png)
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저장소가 해당 이름의 스토리지 폴더로 성공적으로 가져와진 것을 확인할 수 있습니다.
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저장소가 해당 이름의 데이터 폴더로 성공적으로 가져와진 것을 확인할 수 있습니다.
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![](../images/import_github_repository_result.png)
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동일한 이름의 스토리지 폴더가 이미 존재하는 경우, 시스템은 가져온 저장소 폴더 이름에 `_`(밑줄)와 숫자를 추가합니다.
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동일한 이름의 데이터 폴더가 이미 존재하는 경우, 시스템은 가져온 저장소 폴더 이름에 `_`(밑줄)와 숫자를 추가합니다.
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