Spaces:
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Running
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 | |
[![CI/CD Workflow](https://github.com/hussein88al88amouri/medichat_assignment/actions/workflows/deploy.yml/badge.svg)](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. | |