{"id":29707374,"url":"https://github.com/ashish-patnaik/github-repo-analyst","last_synced_at":"2026-05-06T18:37:03.284Z","repository":{"id":303455915,"uuid":"1015560055","full_name":"Ashish-Patnaik/Github-Repo-Analyst","owner":"Ashish-Patnaik","description":"It analyze a public GitHub repository using AI. 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Watch the demo below:\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://youtu.be/100wY7tmrnc\" target=\"_blank\"\u003e\n    \u003cimg src=\"https://img.youtube.com/vi/100wY7tmrnc/0.jpg\" alt=\"Demo Video\" width=\"700\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n## ✨ Key Features\n\n- **Dynamic Repo Fetching**: Analyzes any public GitHub repository using its URL.\n- **Deep Contextual Analysis**: Reads the content of important files like `README.md`, `requirements.txt`, and `package.json` to provide a richer context to the AI.\n- **In-Depth AI Insights**: Generates a structured analysis that includes:\n  - A detailed overview of the project's purpose and target audience.\n  - A bulleted list of key technical features and capabilities.\n  - Inferred \"getting started\" commands for quick setup.\n- **\"Bring Your Own Key\" (BYOK) Model**: Securely uses your personal API keys for GitHub and IO Intelligence, which are entered in the sidebar and never stored.\n- **Tech Stack Detection**: Automatically identifies the primary languages and technologies used in the repository.\n\n## 📸 Application Screenshot\n\n*This is what the application looks like in action!*\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://github.com/user-attachments/assets/2a88ce6a-3b88-4267-901c-f05871849e28\" alt=\"Application Screenshot\" width=\"800\"\u003e\n\u003c/p\u003e\n\n## 🛠️ How It Works \u0026 Tech Stack\n\nThe application follows a simple yet powerful architecture:\n\n1. **Frontend**: Built with **Streamlit** for a fast, interactive user interface.\n2. **GitHub API**: Uses the **PyGithub** library to fetch repository data, including metadata and file contents.\n3. **AI Backend**: Leverages the **IO Intelligence API** and a Llama 3.3 70B model to analyze the collected data and generate structured insights.\n\nThe core technologies are:\n- **Python**\n- **Streamlit**\n- **PyGithub**\n- **IO Intelligence**\n\n## 🚀 Getting Started\n\nThere are two ways to use the application:\n\n### 1. Access the Live Demo\n\nThe easiest way to get started is to use the deployed version on Streamlit Community Cloud:\n\n**[➡️ Click here to launch the live application!](https://app-repo-analyst-appstxxiw3ley4gxx4ul9pa.streamlit.app/)**\n\n### 2. Run Locally\n\nIf you want to run the application on your own machine, follow these steps:\n\n1. **Clone the repository:**\n    ```bash\n    git clone https://github.com/your-username/your-repo-name.git\n    cd your-repo-name\n    ```\n\n2. **Create and activate a virtual environment:**\n    ```bash\n    python -m venv venv\n    # On Windows:\n    venv\\Scripts\\activate\n    # On macOS/Linux:\n    source venv/bin/activate\n    ```\n\n3. **Install the required libraries:**\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n4. **Run the Streamlit app:**\n    ```bash\n    streamlit run app.py\n    ```\n    The application will open in your browser.\n\n## 🔑 Configuration\n\nThe application requires two API keys to function:\n\n1. **GitHub Personal Access Token**: Needed to interact with the GitHub API and avoid rate limits. You can generate one [here](https://github.com/settings/tokens) with `public_repo` scope.\n2. **IO Intelligence API Key**: Required for the AI analysis. You can get this from your IO Intelligence dashboard.\n\nThese keys are entered in the sidebar of the application and are used only for the current session. **They are never stored or saved.**\n\n---\n\n\u003cp align=\"center\"\u003e\n  Made with ❤️ and Python.\n\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashish-patnaik%2Fgithub-repo-analyst","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fashish-patnaik%2Fgithub-repo-analyst","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashish-patnaik%2Fgithub-repo-analyst/lists"}