| --- |
| title: RAG Excel Chatbot |
| emoji: 📊 |
| colorFrom: green |
| colorTo: blue |
| sdk: streamlit |
| app_file: app.py |
| pinned: false |
| license: apache-2.0 |
| sdk_version: 1.44.1 |
| --- |
| |
| # Excel-Aware RAG Chatbot |
|
|
| This Streamlit app lets you upload an Excel file (with a 'Data Base' sheet), processes the data into a retrievable vector database, and allows question answering using a RAG pipeline powered by `flan-t5-base`. |
|
|
| ## Features |
| - Upload `.xlsm` or `.xlsx` files |
| - Automatically cleans and processes the 'Data Base' sheet |
| - Embeds entries using `MiniLM` embeddings |
| - Uses `flan-t5-base` for fast CPU-friendly QA |
| - Works on Hugging Face Spaces (L4 hardware) |
|
|
| ## Run Locally |
|
|
| ```bash |
| pip install -r requirements.txt |
| streamlit run app.py |
