App Service に Streamlit アプリをデプロイする

.deployment

@@ -0,0 +1,2 @@
+[config]
+SCM_DO_BUILD_DURING_DEPLOYMENT=true

.gitignore

@@ -161,6 +161,5 @@ cython_debug/
 
 # Project
 *.env
-requirements.txt
 artifacts/
 generated/

README.md

@@ -51,3 +51,18 @@ To publish the docker image to Docker Hub, you need to set the following secrets
 gh secret set DOCKERHUB_USERNAME --body $DOCKERHUB_USERNAME
 gh secret set DOCKERHUB_TOKEN --body $DOCKERHUB_TOKEN
 ```
+
+## Deployment
+
+### App Service
+
+以下の 2 点の設定を行うことで、Streamlit アプリケーションを Azure App Service にデプロイすることができる。
+
+1. Settings > Configuration > Startup Command に streamlit 用のコマンド `python -m streamlit run apps/4_streamlit_chat_history/main.py --server.port 8000 --server.address 0.0.0.0` をセット (※ 実行スクリプトは適宜変更すること。App Service はデフォルトで 8000 ポートを listen しているため、`--server.port 8000` が必要。)
+1. `SCM_DO_BUILD_DURING_DEPLOYMENT` を `true` に設定する
+
+#### 参考資料
+
+- [Streamlit を Azure App Service で動かす！](https://qiita.com/takashiuesaka/items/491b21e9afb34bbb6e6d)
+- [WARNING: Could not find virtual environment directory /home/site/wwwroot/antenv](https://stackoverflow.com/a/61720957)
+- [How to deploy a streamlit application on Azure App Service (WebApp)](https://learn.microsoft.com/en-us/answers/questions/1470782/how-to-deploy-a-streamlit-application-on-azure-app)

apps/2_streamlit_chat/main.py

@@ -15,7 +15,6 @@
     )
     azure_openai_api_key = st.text_input(
         label="AZURE_OPENAI_API_KEY",
-        value=getenv("AZURE_OPENAI_API_KEY"),
         key="AZURE_OPENAI_API_KEY",
         type="password",
     )

apps/4_streamlit_chat_history/main.py

@@ -49,7 +49,6 @@ def store_chat_history(container: ContainerProxy):
     )
     azure_openai_api_key = st.text_input(
         label="AZURE_OPENAI_API_KEY",
-        value=getenv("AZURE_OPENAI_API_KEY"),
         key="AZURE_OPENAI_API_KEY",
         type="password",
     )

apps/99_streamlit_llm_examples/pages/1_File_Q&A.py

@@ -15,7 +15,6 @@
     )
     azure_openai_api_key = st.text_input(
         label="AZURE_OPENAI_API_KEY",
-        value=getenv("AZURE_OPENAI_API_KEY"),
         key="AZURE_OPENAI_API_KEY",
         type="password",
     )

requirements.txt

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+openai==1.37.1
+python-dotenv==1.0.1
+streamlit==1.37.0
+azure-cosmos==4.7.0