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title: PaperChat - Research Paper Q&A
emoji: 📄
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: 1.52.2
app_file: app.py
pinned: false
---
# 📄 PaperChat - Research Paper Q&A Assistant
Ask questions about any research paper using AI-powered retrieval and reasoning.
## 🎯 Features
- **Upload Any Paper**: Support for PDF research papers
- **Natural Questions**: Ask questions in plain English
- **Accurate Answers**: Powered by Agentic RAG with source citations
- **Chat Interface**: Interactive conversation with context
- **Fast Processing**: Efficient document chunking and retrieval
## 🚀 How to Use
1. Upload a research paper (PDF) using the sidebar
2. Wait for the paper to be processed
3. Ask any question about the paper
4. Get detailed answers with citations
## 🛠️ Technology Stack
- **Framework**: Streamlit
- **Agent System**: smolagents (Hugging Face)
- **Retrieval**: BM25 with LangChain
- **LLM**: Qwen/Qwen3-Next-80B (via HF Inference API)
- **PDF Processing**: PyPDF + LangChain text splitters
## 💡 Example Questions
- "What is the main contribution of this paper?"
- "What methodology was used in the experiments?"
- "What datasets were used for evaluation?"
- "What are the key results and findings?"
- "What are the limitations mentioned by the authors?"
## 🔐 API Configuration
This app uses the Hugging Face Inference API. Make sure to set your `HF_TOKEN` environment variable or add it in the Hugging Face Spaces secrets.
## 📝 Local Development
```bash
# Install dependencies
pip install -r requirements.txt
# Set your HF token
export HF_TOKEN=your_token_here
# Run the app
streamlit run app.py
```
## 📄 License
MIT License
## 🙏 Acknowledgments
Built with smolagents, LangChain, and Streamlit. |