A newer version of the Streamlit SDK is available:
1.51.0
metadata
title: Clinical Trial Discovery App
emoji: 🧬
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: 1.46.1
app_file: app.py
pinned: false
🧠 Clinical Trial Discovery (RAG App)
This is a Streamlit-based RAG (Retrieval-Augmented Generation) app for discovering clinical trials using natural language queries. It uses:
- ✅ BioBERT-SBERT for semantic embeddings
- ✅ Pinecone for fast vector search
- ✅ Mistral-7B-Instruct for generating answers - This might change
- ✅ Firestore for storing user bookmarks only
🚀 Features
- 🔍 Ask natural questions (e.g., "thymus cancer for women")
- 🧠 Get LLM-generated answers based on real trial descriptions
- ⭐ Bookmark trials (saved to Firestore)
- 🧭 Tabbed layout for easy navigation