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# πŸ“„ Digi-Biz Streamlit App

## Quick Start

### 1. Install Dependencies

```bash
pip install streamlit
```

### 2. Run the App

```bash
streamlit run app.py
```

The app will open in your browser at `http://localhost:8501`

---

## Features

### πŸ“€ Upload Tab
- Upload ZIP files containing business documents
- Supports PDF, DOCX, XLSX, images, videos
- Shows file size and job ID

### βš™οΈ Processing Tab
- **Real-time progress** through 5 agents:
  1. File Discovery Agent
  2. Document Parsing Agent
  3. Table Extraction Agent
  4. Media Extraction Agent
  5. Vision Agent (Qwen3.5:0.8B)
- Live status updates
- Error handling with graceful degradation

### πŸ“Š Results Tab
- File discovery summary (documents, images, videos)
- Document parsing results (pages, text preview)
- Table extraction results (count, types)
- Expandable details for each section

### πŸ–ΌοΈ Vision Analysis Tab
- Image gallery with analysis results
- Category classification (product, service, food, etc.)
- Confidence scores
- Tags and descriptions
- Product/service detection
- Association suggestions

---

## Sidebar Features

- **Model Status**: Shows Ollama server and Qwen model availability
- **Agent Cards**: Quick reference for all 5 agents
- **Reset Button**: Clear all session data and start fresh

---

## Requirements

### System Requirements
- Python 3.10+
- Ollama installed and running
- Qwen3.5:0.8b model pulled

### Python Packages
```bash
pip install -r requirements.txt
```

---

## Usage Example

1. **Prepare ZIP file** with business documents:
   - Restaurant menu PDFs
   - Product catalogs
   - Service brochures
   - Business cards
   - Product photos

2. **Upload** the ZIP file in the "Upload" tab

3. **Click "Start Processing"** - watch real-time progress

4. **View Results** in "Results" and "Vision Analysis" tabs

---

## Troubleshooting

### Ollama Not Running
```
Error: Ollama Server Not Running
```
**Solution:** Start Ollama server
```bash
ollama serve
```

### Qwen Model Not Found
```
Error: Qwen3.5:0.8B Not Available
```
**Solution:** Pull the model
```bash
ollama pull qwen3.5:0.8b
```

### Processing Timeout
If processing takes too long:
- Reduce number of images in ZIP
- Vision analysis processes first 3 images by default
- Increase timeout in `vision_agent.py`

---

## Screenshots

The app provides:
- βœ… Clean, modern UI with custom styling
- βœ… Progress bars and status indicators
- βœ… Interactive expandable sections
- βœ… Image gallery with analysis overlays
- βœ… Real-time agent status updates

---

## Development

### Run in Development Mode

```bash
streamlit run app.py --server.headless=true --server.port=8501
```

### Enable Debug Logging

Add to `app.py`:
```python
import logging
logging.basicConfig(level=logging.DEBUG)
```

---

## Architecture

```
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚         Streamlit Frontend              β”‚
β”‚  - Upload component                     β”‚
β”‚  - Progress tracking                    β”‚
β”‚  - Results display                      β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                    ↓
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚         Agent Pipeline                  β”‚
β”‚  1. File Discovery Agent                β”‚
β”‚  2. Document Parsing Agent              β”‚
β”‚  3. Table Extraction Agent              β”‚
β”‚  4. Media Extraction Agent              β”‚
β”‚  5. Vision Agent (Qwen3.5:0.8B)         β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                    ↓
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚         Ollama (Qwen Vision)            β”‚
β”‚  - Image analysis                       β”‚
β”‚  - Category classification              β”‚
β”‚  - Tag generation                       β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
```

---

## Next Steps

After the demo:
1. Review extracted data
2. Export results (JSON export coming soon)
3. Edit/refine results (editing UI in development)
4. Integrate with downstream systems

---

**Enjoy using Digi-Biz!** πŸš€