Update README.md
Browse files
README.md
CHANGED
|
@@ -1,19 +1,65 @@
|
|
| 1 |
-
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
tags:
|
| 9 |
-
- streamlit
|
| 10 |
pinned: false
|
| 11 |
-
|
|
|
|
| 12 |
---
|
| 13 |
|
| 14 |
-
#
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 15 |
|
| 16 |
-
|
| 17 |
|
| 18 |
-
|
| 19 |
-
forums](https://discuss.streamlit.io).
|
|
|
|
| 1 |
+
title: AI Invoice Processing System
|
| 2 |
+
emoji: 📄
|
| 3 |
+
colorFrom: blue
|
| 4 |
+
colorTo: purple
|
| 5 |
+
sdk: streamlit
|
| 6 |
+
sdk_version: 1.28.0
|
| 7 |
+
app_file: app.py
|
|
|
|
|
|
|
| 8 |
pinned: false
|
| 9 |
+
license: mit
|
| 10 |
+
python_version: 3.9
|
| 11 |
---
|
| 12 |
|
| 13 |
+
# 📄 AI Invoice Processing System
|
| 14 |
+
|
| 15 |
+
An intelligent document processing system that extracts structured data from invoices using AI and provides semantic search capabilities.
|
| 16 |
+
|
| 17 |
+
## ✨ Features
|
| 18 |
+
|
| 19 |
+
- **🤖 AI-Powered Extraction**: Advanced NLP models extract structured data from invoices
|
| 20 |
+
- **🔍 Semantic Search**: Natural language search with vector similarity
|
| 21 |
+
- **📊 Smart Analytics**: Comprehensive visualizations and insights
|
| 22 |
+
- **💬 AI Chat Interface**: Ask questions about your invoices in natural language
|
| 23 |
+
- **📋 Data Management**: Export and manage your processed invoice data
|
| 24 |
+
|
| 25 |
+
## 🚀 How to Use
|
| 26 |
+
|
| 27 |
+
1. **Upload Invoices**: Go to the "Upload & Process" tab and upload your PDF or text files
|
| 28 |
+
2. **AI Processing**: Watch as the AI extracts structured data automatically
|
| 29 |
+
3. **Chat with Your Data**: Use the AI chat to ask questions about your invoices
|
| 30 |
+
4. **Explore Analytics**: View comprehensive dashboards and insights
|
| 31 |
+
5. **Export Results**: Download your processed data in CSV or JSON format
|
| 32 |
+
|
| 33 |
+
## 🛠️ Technical Details
|
| 34 |
+
|
| 35 |
+
- **Document Processing**: PDF text extraction with pdfplumber
|
| 36 |
+
- **AI Extraction**: Hugging Face Transformers for Named Entity Recognition
|
| 37 |
+
- **Semantic Search**: Sentence Transformers for vector embeddings
|
| 38 |
+
- **Vector Storage**: FAISS for efficient similarity search
|
| 39 |
+
- **Interface**: Streamlit for interactive web application
|
| 40 |
+
|
| 41 |
+
## 📊 Supported Formats
|
| 42 |
+
|
| 43 |
+
- PDF documents
|
| 44 |
+
- Text files (.txt)
|
| 45 |
+
- Image files (basic support)
|
| 46 |
+
|
| 47 |
+
## 🔒 Privacy & Security
|
| 48 |
+
|
| 49 |
+
- All processing happens locally in your browser session
|
| 50 |
+
- No data is permanently stored on servers
|
| 51 |
+
- Files are processed temporarily and then deleted
|
| 52 |
+
- Your invoice data remains private and secure
|
| 53 |
+
|
| 54 |
+
## 💡 Tips for Best Results
|
| 55 |
+
|
| 56 |
+
- Use clear, well-formatted invoice documents
|
| 57 |
+
- PDF files work best for extraction
|
| 58 |
+
- Include invoices with standard fields (amount, date, supplier, etc.)
|
| 59 |
+
- Try different natural language queries in the chat interface
|
| 60 |
+
|
| 61 |
+
## 🤝 Feedback & Support
|
| 62 |
|
| 63 |
+
If you encounter any issues or have suggestions for improvement, please feel free to reach out through the Hugging Face community discussions.
|
| 64 |
|
| 65 |
+
Built with ❤️ for the AI community using Hugging Face Transformers and Streamlit.
|
|
|