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| title: Vwctor Database Cloud Chatbot | |
| emoji: 💬 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.41.0 | |
| app_file: app.py | |
| pinned: false | |
| # Welcome to Vector Database Cloud Chatbot Space | |
| This space hosts a variety of chatbots built using different models. Users can interact with the chatbots and even contribute their own by following the guidelines below. | |
| ## How to Contribute Your Chatbot | |
| 1. **Fork the Repository** | |
| - Fork this repository to your own GitHub account. | |
| 2. **Clone Your Fork** | |
| - Clone your fork to your local machine. | |
| 3. **Add Your Chatbot** | |
| - Modify the `app.py` file to integrate your chatbot. Ensure you include the necessary configurations for your model. | |
| 4. **Test Your Chatbot** | |
| - Run the application locally and test the functionality of your chatbot. | |
| 5. **Submit a Pull Request** | |
| - Push your changes to your fork and submit a pull request for review. | |
| 6. **Review Process** | |
| - Your submission will be reviewed and, if accepted, merged into the main repository. | |
| ## Example Code for Adding a Chatbot | |
| ```python | |
| from huggingface_hub import InferenceClient | |
| client = InferenceClient("your-huggingface-model-id") | |
| def respond(message, history, system_message, max_tokens, temperature, top_p): | |
| # Your chatbot logic here |