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DOCKER_README.md

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----
-title: CodeBuddy AI
-emoji: 👨‍💻
-colorFrom: indigo
-colorTo: purple
-sdk: streamlit
-sdk_version: 1.32.0
-app_file: app.py
-pinned: false
-python_version: "3.10"
-app_port: 8501
----
-
-# CodeBuddy AI
-
-An advanced AI coding assistant powered by Gemini 2.0, built with Streamlit and LangChain.
-
-## Features
-- Modern, responsive UI with dark theme
-- Code-specific assistance and debugging
-- Interactive chat interface
-- Mobile-friendly design
-
-## Environment Setup
-This app requires the following environment variable:
-- `GOOGLE_API_KEY`: Your Google API key for Gemini access
-
-Create a `.env` file in the project root with:
-```
-GOOGLE_API_KEY=your_api_key_here
-```
-
-## Docker Deployment
-
-### Option 1: Using Docker Compose (Recommended)
-
-1. Make sure you have Docker and Docker Compose installed
-2. Create a `.env` file with your Google API key
-3. Run the application:
-   ```bash
-   docker-compose up -d
-   ```
-4. Access the application at http://localhost:8501
-
-### Option 2: Using Docker Directly
-
-1. Build the Docker image:
-   ```bash
-   docker build -t codebuddy-ai .
-   ```
-2. Run the container:
-   ```bash
-   docker run -p 8501:8501 --env-file .env -d codebuddy-ai
-   ```
-3. Access the application at http://localhost:8501
-
-## Local Development Setup
-
-1. Install dependencies:
-   ```bash
-   pip install -r requirements.txt
-   ```
-2. Create a `.env` file with your Google API key
-3. Run the application:
-   ```bash
-   streamlit run app.py
-   ```
-4. Access the application at http://localhost:8501
-
-## Deployment Notes
-- The app is configured to run on Hugging Face Spaces
-- The app will automatically use the correct port (8501) and host settings
-- The Docker configuration includes health checks to ensure availability