FastAPI LangChain Chatbot

This project is a chatbot powered by FastAPI, LangChain, and OpenAI's GPT model. The project includes a simple frontend to interact with the chatbot.

Features

• Backend: FastAPI with LangChain for OpenAI GPT-3 integration
• Frontend: Basic HTML/JS to interact with the chatbot
• Containerized using Docker
• LangSmith logging for conversations

Running Locally

Prerequisites

• Docker (For containerized deployment)
• Python 3.9+ (For running locally without Docker)
• OpenAI API Key (For GPT-4 interaction)
• LangSmith API Key (For conversation logging)

Setup

• Clone the repository:

  git clone https://github.com/dheerajreddy2020/langchain-wonders.git
  cd langchain-wonders

Running with Docker

To build a chatbot using Docker, follow these steps:

1. Build docker image:

   docker build -t mychatbot .

2. Run docker image:

   docker run -p 3000:3000 -p 8000:8000 mychatbot

3. Access the Application:

   • Frontend: Open your web browser and go to http://localhost:3000 to view the frontend.
   • Backend API: The FastAPI application will be available at http://localhost:8000.

Running the Application Without Docker

To test the application locally without Docker, follow these steps:

1. Install Python Dependencies:

   pip install -r requirements.txt

2. Start the FastAPI Application:

   python ./app/app.py

3. Serve the Frontend Files:

   Open a new terminal window and navigate to the frontend directory:

   cd ./frontend

   Then, start a simple HTTP server to serve the static files:

   python -m http.server 3000

4. Access the Application:

   • Frontend: Open your web browser and go to http://localhost:3000 to view the frontend.
   • Backend API: The FastAPI application will be available at http://localhost:8000.