README.md

---
title: Chat With Any PDF File
emoji: 🚀
colorFrom: red
colorTo: red
sdk: docker
app_port: 8501
tags:
- streamlit
pinned: false
short_description: Streamlit template space
---

---
title: PDF Chat Assistant
emoji: 📄
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: 1.28.0
app_file: app.py
pinned: false
license: mit
---

# 📄 PDF Chat Assistant

An intelligent PDF chat application that allows you to upload any PDF document and have natural conversations with its content using AI.

## 🌟 Features

- **📤 Easy PDF Upload**: Drag & drop or browse to upload PDF files
- **🤖 AI-Powered Chat**: Ask questions and get intelligent answers about your document
- **💾 Conversation Memory**: Maintains context throughout your chat session
- **🎨 Beautiful Interface**: Modern, responsive design with dark theme
- **⚡ Fast Processing**: Quick text extraction and real-time responses
- **🔒 Privacy First**: Your documents are processed securely and not stored

## 🚀 How to Use

1. **🔑 Enter your OpenAI API Key** in the sidebar
2. **📤 Upload a PDF file** using the file uploader
3. **⏳ Wait** for text extraction (usually takes a few seconds)
4. **💬 Start asking questions** about your document
5. **🎯 Get instant AI-powered answers**!

## 💡 Example Questions

- "What is this document about?"
- "Summarize the main points"
- "What are the key findings?"
- "Give me the contact information"
- "Explain the methodology used"

## 🔑 API Key Setup

To use this application, you'll need an OpenAI API key:

1. Visit [OpenAI Platform](https://platform.openai.com)
2. Sign up or log in to your account
3. Go to the **API Keys** section
4. Click **"Create new secret key"**
5. Copy the key and paste it in the sidebar

**Note**: Your API key is only used during your session and is never stored or shared.

## 🛠️ Technical Details

- **Framework**: Streamlit
- **AI Model**: OpenAI GPT-3.5-turbo
- **PDF Processing**: PyPDF2
- **Hosting**: Hugging Face Spaces

## 🎯 Use Cases

- **📚 Research**: Quickly understand academic papers and research documents
- **📋 Business**: Analyze reports, contracts, and business documents
- **📖 Education**: Study textbooks and educational materials
- **📄 Legal**: Review legal documents and contracts
- **📊 Reports**: Extract insights from data reports and presentations

## 🔒 Privacy & Security

- Documents are processed in real-time and not stored
- API keys are only used for the current session
- No data is collected or shared with third parties
- All processing happens securely in the cloud

## 📱 Responsive Design

The application works seamlessly on:
- 💻 Desktop computers
- 📱 Mobile devices
- 📺 Tablets
- 🖥️ Large screens

## 🤝 Contributing

This is an open-source project. Feel free to:
- ⭐ Star the repository
- 🐛 Report bugs
- 💡 Suggest features
- 🔧 Submit pull requests

## 📞 Support

If you encounter any issues:
1. Check that your API key is valid and has available credits
2. Ensure your PDF contains readable text (not just images)
3. Try with a smaller PDF file if processing fails
4. Refresh the page and try again

## 🏆 Credits

Built with ❤️ using:
- [Streamlit](https://streamlit.io/) for the web interface
- [OpenAI](https://openai.com/) for AI capabilities
- [PyPDF2](https://pypdf2.readthedocs.io/) for PDF processing
- [Hugging Face Spaces](https://huggingface.co/spaces) for hosting

---

**🎉 Start chatting with your PDFs today!**

Transform any PDF into an interactive conversation and unlock the power of AI-assisted document analysis.

# Welcome to Streamlit!

Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:

If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
forums](https://discuss.streamlit.io).