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| title: MediChat | |
| emoji: 🩺 | |
| colorFrom: blue | |
| colorTo: yellow | |
| sdk: streamlit | |
| sdk_version: "1.40.1" # Replace with the actual version of your SDK | |
| app_file: app.py # Replace with the main app file name | |
| pinned: false | |
| [](https://github.com/hussein88al88amouri/medichat_assignment/actions/workflows/deploy.yml) | |
| # MediChat: AI-Powered Medical Consultation Assistant | |
| MediChat is an intelligent chatbot designed to provide medical consultations using a fine-tuned Llama3.1:8B model. The project bridges advanced AI capabilities with practical healthcare assistance. | |
| ## Features | |
| - Fine-tuned model for medical conversations | |
| - Interactive and user-friendly interface | |
| - Secure and containerized deployment | |
| ## How to Use | |
| 1. Access the chatbot interface. | |
| 2. Input your medical query. | |
| 3. Receive intelligent and context-aware responses. | |
| ## Technical Details | |
| - Model: Llama3.1:8B | |
| - Framework: Gradio | |
| ## Installation | |
| 1. Clone the repository: | |
| ```bash | |
| git clone https://github.com/your_username/medichat.git | |
| cd medichat | |
| 2. Build and run the Docker container: (in bash copy the following code) | |
| docker build -t medichat-app . | |
| docker run -p 8501:8501 medichat-app | |
| 3. Access the app at http://localhost:8501. | |
| Limitations | |
| This tool is not a replacement for professional medical advice. | |
| For critical issues, always consult a licensed medical professional. | |