GenePattern Copilot

This is the Django backend for the GenePattern Copilot application. It provides a RESTful API for interacting with various Large Language Models (LLMs) using LangChain and LangGraph.

Features

• Django 5.2 backend
• Django REST Framework for API endpoints
• CORS support for frontend integration
• Integration with LangChain and LangGraph
• Support for OpenAI, Gemini, Llama and other models
• Database models for tracking conversations, queries, ratings, prompts and LLM steps.
• User response rating (thumbs up/down).

Setup

1. Clone the repository:

   git clone https://github.com/genepattern/GPCopilot.git
   cd GPCopilot

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

   Alternatively, you can use Conda:

   conda create -n gp_copilot python=3.11
   conda activate gp_copilot

3. Install dependencies:

   pip install -r requirements.txt

4. Environment Variables: Create a .env file in the project root directory and add your LLM API keys and other sensitive settings:

   # General Django Settings
   SECRET_KEY='your-strong-django-secret-key' # Generate a real one!
   DEBUG=True # Set to False in production
   ALLOWED_HOSTS=localhost,127.0.0.1 # Add your production domain
   
   # Database (Default: SQLite)
   # DATABASE_URL=sqlite:///db.sqlite3
   
   # LLM API Keys
   OPENAI_API_KEY='your_openai_api_key'
   GOOGLE_GEMINI_API_KEY='your_google_api_key'
   AWS_ACCESS_KEY_ID='your_aws_access_key'
   AWS_SECRET_ACCESS_KEY='your_aws_secret_key'
   # Add other keys/credentials as needed for any other models
   
   # CORS Settings (adjust for production)
   CORS_ALLOWED_ORIGINS=http://localhost:3000

5. Apply database migrations:

   python manage.py makemigrations
   python manage.py migrate

6. Create a superuser (optional, for admin access):

   python manage.py createsuperuser

7. Run the development server:

   python manage.py runserver

The application will be available at http://127.0.0.1:8000/.