icycodes / quick-question Goto Github PK

An incubating AI-powered Q&A for your codebase.

Live Demo

Make sure git-lfs is installed.

1. Clone the repository.

   git clone https://github.com/TabbyML/quick-question.git

2. Save your OPENAI_API_KEY to file as secret.

   echo YOUR_OPENAI_API_KEY > openai_api_key.txt

3. Optional Run Quick Question on your github project.

   1. Create new directory for you project under /data, e.g /data/quick-question.

   2. Add a new metadata.json file in your project directory. Here is a templete of file content, replace {GITHUB_PROJECT} with your own project name, e.g TabbyML/quick-question.

      {
          "name": "{GITHUB_PROJECT}",
          "exampleQueries": ["How to ...?"]
      }

      See ./data/diffusers/metadata.json for a complete example.

4. Start container.

   docker-compose up
   

1. Make sure git-lfs is installed.
2. Clone the repository, runs yarn to install dependencies.
3. Run yarn lerna run build.
4. Switch workdir to ./packages/quick-question.
5. Copy .env.sample to .env.local, and set your OPENAI_API_KEY.
6. Run yarn dev to start local development server.

Come help us make Tabby even better. We're growing fast and would love for you to join us.

Many thanks to WizAI for contributing with code-search, a project that QuickQuestion branched from.