doppelgänger

Problem: open-source maintainers spend a lot of time managing duplicate/related (doppelgänger) issues & pull requests
Solution: doppelgänger compares newly submitted issues/PRs against existing ones to automatically flag duplicate/related (doppelgänger) issues/PRs

Topics: vector db, github, open-source, embedding search, rag, similarity scores

Screen.Recording.2024-04-27.at.4.57.11.PM.mov

Setup

1. Clone this repository to your local machine:

   git clone https://github.com/dannyl1u/doppelganger.git
   cd doppelganger
   

2. Build Docker image and run:

   docker build -t doppelganger . && docker run --name doppelganger doppelganger
   

or

2. Create a virtual environment and install dependencies:

   • python -m venv venv
   • source venv/bin/activate # Use venv\Scripts\activate on Windows
   • pip install -r requirements.txt

3. Run the Flask server:

   python app.py
   

4. Configure a GitHub Webhook:

   • Go to your GitHub repository settings
   • Navigate to "Webhooks" and click "Add webhook"
   • Enter the following details:
     • Payload URL: https://your-public-url/webhook
     • Content type: application/json
     • Which events would you like to trigger this webhook?: Select "Let me select individual events" and check "Issues" and "Pull requests"
   • Click "Add webhook"

Notes

• To make your Flask server publicly accessible, consider using a tool like ngrok to expose it to the internet during development.
• Ensure proper security measures for the webhook endpoint to avoid unauthorized access or potential attacks.

Star History