Awesome

LangChain chat with streaming response over FastAPI websockets

Install and run like:

pip install -r requirements.txt # use a virtual env
cp dotenv-example .env # add your secrets to the .env file
uvicorn main:app --reload

Or using docker-compose :

Run with Docker Compose

To run the LangChain chat application using Docker Compose, follow these steps:

1. Make sure you have Docker installed on your machine.

2. Create a file named .env file

3. Open the newly created .env file in a text editor and add your OpenAI API key:

   OPENAI_API_KEY=your_openai_api_key_here
   

   Replace your_openai_api_key_here with your actual OpenAI API key.

4. Run the following command to build the Docker image and start the FastAPI application inside a Docker container:

   docker-compose up --build
   

5. Access the application at http://localhost:8000.

Thanks to @hwchase17 for showing the way in chat-langchain