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metadata
title: pearly_med_triage_chatbot_kagglex
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.4.0
app_file: app.py
pinned: false
license: mit
Pearly Medical Triage Chatbot
Pearly is a medical triaging chatbot designed to assess patient symptoms and provide recommendations based on urgency levels. Using Gradio for an interactive interface, Hugging Face's Gemma-7b model for natural language processing, and LoRA for efficient model fine-tuning, Pearly aims to deliver empathetic, culturally-aware medical guidance.
Key Features
- Urgency Assessment: Identifies Emergency, Urgent, and Non-Urgent cases and provides appropriate responses.
- Cultural Sensitivity: Customizable cultural considerations for improved patient interactions.
- Interactive Interface: Built with Gradio for real-time user engagement.
- Integration with Weights & Biases (WandB): Tracks performance metrics during model development.
Resources Used
- Gradio SDK
- Hugging Face Hub
- Weights & Biases (WandB)
- Hugging Face datasets
Usage
Visit this Space to chat with Pearly and experience its features.
This project utilizes Gradio, huggingface_hub
, and the Hugging Face Inference API.