peytoncasper / ground-truth

Python-React Full Stack AI Application

This is a full stack application with a frontend built in React and a backend in Python Flask.

Project Structure

The project is divided into two main parts:

• frontend: This directory contains the React app.
• backend: This directory contains the Flask app that uses Langchain to query OpenAI.

Development

Backend

To set up and start the backend server, follow these steps:

1. Navigate to the backend directory.

   cd backend

2. Create a Python virtual environment and activate it.

   python3 -m venv venv
   source venv/bin/activate

3. Install the required Python packages.

   pip install -r requirements.txt

4. Start the Flask app. It will run on port 5001.

   export FLASK_APP=app.py
   export FLASK_ENV=development
   flask run --port=5001

Frontend

To start the frontend React app, follow these steps:

1. Navigate to the frontend directory.

   cd frontend

2. Install the required packages.

   npm install

3. Start the React app. Note: it proxies requests to backend server at port 5001.

   npm run start

Production

To prepare the application for production, follow these steps:

1. Navigate to the frontend directory and build the React app.

   cd frontend
   npm run build

2. This creates a build directory inside the frontend directory with a production build of your React app. Now, start the Flask app in production mode:

   cd ../backend
   export FLASK_APP=app.py
   flask run --port=5001

Docker Deployment

To deploy the application using Docker, use the Dockerfile in the project root. This will create a Docker image with the Flask backend serving the React frontend. The application inside the Docker container will be available on port 5001.

1. Build the Docker image.

docker build -t python-react-app .

2. Run the Docker container.

docker run -p 5001:5001 -e OPENAI_API_KEY="" -e PINECONE_ENVIRONMENT="" -e PINECONE_API_KEY="" python-react-app