https://github.com/rishiy7/health-chatbot
🩺 AI Health Assistant using Streamlit and Hugging Face Transformers
https://github.com/rishiy7/health-chatbot
ai artificial-intelligence chatbot health-assistant healthcare nlp streamlit transformers
Last synced: about 2 months ago
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🩺 AI Health Assistant using Streamlit and Hugging Face Transformers
- Host: GitHub
- URL: https://github.com/rishiy7/health-chatbot
- Owner: RishiY7
- Created: 2025-06-27T15:40:30.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-06-27T16:32:08.000Z (12 months ago)
- Last Synced: 2025-06-27T17:24:28.058Z (12 months ago)
- Topics: ai, artificial-intelligence, chatbot, health-assistant, healthcare, nlp, streamlit, transformers
- Language: Python
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🩺 Health Chatbot – AI-Powered Health Assistant (Q&A Style)
**Health Chatbot** is a simple chatbot built using Streamlit and Hugging Face Transformers. It allows users to ask health-related questions and receive accurate answers based on a custom knowledge base (`context.txt`). No API key, no cloud backend, no setup hassle.
## 🌐 Live App
👉 [Click here to use Health Chatbot](https://rishiy7-health-chatbot.streamlit.app/)
---
### ✨ Features
- 🧠 Uses Hugging Face's `question-answering` pipeline (no API needed)
- 📄 Powered by a custom `context.txt` with 15+ real-world health Q&A pairs
- 💬 Chat-style interface built with Streamlit
- 🚀 Fast and lightweight — runs on CPU, no GPU required
- 🌐 Easy to deploy on **Streamlit Cloud**
- 🔐 No login, API key, or internet model hosting required
---
### 📁 Files in This Project
| File | Description |
|------|-------------|
| `app.py` | Main Streamlit chatbot interface |
| `context.txt` | Health knowledge base (Q&A style) |
| `requirements.txt` | Required Python libraries |
---
### ▶️ How to Run Locally
```bash
git clone https://github.com/RishiY7/Health-Chatbot
cd Health-Chatbot
pip install -r requirements.txt
streamlit run app.py