README.md

@@ -10,77 +10,13 @@ A web-based interface for browsing and interacting with OpenAI-compatible API en
 - **Local Storage**: Securely stores server configurations in browser localStorage
 - **Responsive Design**: Works on desktop and mobile devices
 
-## Project Structure
-
-```
-├── app.py              # Flask backend server
-├── requirements.txt    # Python dependencies
-├── static/
-│   ├── index.html      # Main HTML interface
-│   ├── script.js       # Client-side JavaScript logic
-│   └── style.css       # Styling and layout
-```
-
-## Getting Started
-
-### Prerequisites
-
-- Python 3.7+
-- pip (Python package manager)
-
-### Installation
-
-1. Clone the repository:
-```bash
-git clone <repository-url>
-cd openai-models-viewer
-```
-
-2. Install Python dependencies:
-```bash
-pip install -r requirements.txt
-```
-
-3. Run the application:
-```bash
-python app.py
-```
-
-The application will start on `http://localhost:5000` by default.
-
-### Usage
-
-1. **Add a Server**:
-   - Click the gear icon next to the server selector
-   - Enter a server name (e.g., "OpenAI Production")
-   - Enter the API endpoint URL (e.g., `https://api.openai.com`)
-   - Enter your API key
-   - Click "Add Server"
-
-2. **View Models**:
-   - Select a configured server from the dropdown
-   - Models will automatically load and display
-
-3. **Chat with Models**:
-   - Click on any model to open the chat interface
-   - Type your message and press Enter or click Send
-   - View the AI's response in real-time
-
-## Development
-
-### Running with Custom Port
-
-```bash
-python app.py 8080
-```
-
 ### Docker Support
 
 Build and run with Docker:
 
 ```bash
 docker build -t openai-models-viewer .
-docker run -p 5000:5000 openai-models-viewer
+docker run -p 8000:8000 openai-models-viewer
 ```
 
 ## API Endpoints
@@ -94,21 +30,3 @@ The application connects to standard OpenAI-compatible endpoints:
 - API keys are stored locally in browser localStorage
 - All communication happens directly between your browser and the API endpoints
 - No server-side storage of sensitive information
-
-## Contributing
-
-1. Fork the repository
-2. Create your feature branch
-3. Commit your changes
-4. Push to the branch
-5. Open a pull request
-
-## License
-
-This project is licensed under the MIT License - see the LICENSE file for details.
-
-## Acknowledgments
-
-- Built with Flask (Python web framework)
-- Uses modern JavaScript for client-side functionality
-- Designed with responsive CSS for cross-device compatibility