A fully python based Streamlit development harness for ChatGPT hosted in Azure OpenAI Service.
To get started, you will need to create a .env file in the root of the project. This file will contain the environment variables needed to run the app. You can make a copy of local.env and rename it to .env to get started. You will need to fill in the following values:
AZURE_OPENAI_ENDPOINT=""
AZURE_OPENAI_KEY=""
AZURE_OPENAI_API_VERSION=""
AZURE_OPENAI_CHATGPT_DEPLOYMENT=""You can find the values for these variables in the Azure Portal. You will need to create an Azure OpenAI resource and deploy the ChatGPT model to it. Once you have done that, you can find the values for these variables in the resource.
The app will load this .env file using the python-dotenv library.
To run the app, simply run the streamlit run app.py. This will start the app on port 8501. You can then access the app at http://localhost:8501. If running in a container, you will need to forward the port to your local machine if VSCode does not do it for you automatically.
This project is designed to be used with VSCode and the Remote Containers extension. Once you have the extension installed, open the project in VSCode and you will be prompted to open the project in a container. This will build the container and install all the dependencies.
The requirements.txt file contains all the python dependencies for this project. The devcontainer.json file will automatically install these dependencies when the container is built.
This project was forked from the streamlit-chatgpt-ui under the MIT license and adapted to the Azure OpenAI Service.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
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