# 🚀 Fix & Run Guide

## The Issue You Saw

```
ImportError: cannot import name 'cached_download' from 'huggingface_hub'
```

**Status**: ✅ **FIXED** in updated `requirements.txt`

## What Was Fixed

```diff
- torch==2.0.1              ❌ Too old
+ torch==2.1.1              ✅ Compatible

- sentence-transformers==2.2.2  ❌ Incompatible
+ sentence-transformers==2.7.0  ✅ Latest stable

+ huggingface-hub==0.16.4   ✅ Pinned version
+ transformers==4.34.0      ✅ Added dependency
```

## How to Fix Your Installation

### 🐳 If Using Docker (Easiest)

```bash
cd "/Users/ssp/Downloads/SSP7/Claude folder/KnowledgeHut/POC1"

# Remove old image
docker-compose down
docker rmi graph-rag-chatbot

# Rebuild with fixed requirements
docker-compose up -d

# Done! Access at http://localhost:7860
```

### 🐍 If Using Python Directly

```bash
# Kill any running app (Ctrl+C)

# Option A: Fresh environment (recommended)
rm -rf venv
python -m venv venv
source venv/bin/activate
pip install --upgrade pip setuptools wheel
pip install -r requirements.txt
export GROQ_API_KEY="your_key"
python app.py

# Option B: Update existing environment
source venv/bin/activate
pip install --upgrade -r requirements.txt
python app.py
```

### ☁️ If Using Hugging Face Spaces

```bash
# Push the updated requirements
git add requirements.txt
git commit -m "Fix: Update dependencies for compatibility"
git push

# HF Spaces rebuilds automatically
# Check the Space logs to verify success
```

## Verify the Fix

```bash
# Test each critical import
python << 'EOF'
print("Testing imports...")
from sentence_transformers import SentenceTransformer
print("✓ SentenceTransformer OK")
from groq import Groq
print("✓ Groq OK")
import networkx as nx
print("✓ NetworkX OK")
import matplotlib.pyplot as plt
print("✓ Matplotlib OK")
print("\n✅ All dependencies fixed!")
EOF
```

Expected output:
```
Testing imports...
✓ SentenceTransformer OK
✓ Groq OK
✓ NetworkX OK
✓ Matplotlib OK

✅ All dependencies fixed!
```

## Quick Restart

### Docker
```bash
docker-compose restart
# or
docker-compose down && docker-compose up -d
```

### Python
```bash
# Kill the running process (Ctrl+C)
# Then restart:
python app.py
```

## Verify App Works

1. **Open browser**: http://localhost:7860
2. **Upload test file**:
   ```csv
   Name,Role,Salary
   Alice,Engineer,120000
   Bob,Manager,110000
   ```
3. **Wait for "ready" status** (should be 5-10 seconds)
4. **View graph**: Click "📈 View Full Graph"
5. **Test chat**: Ask "Who is the highest paid?"
6. **Should respond**: "Based on the data, Alice is the highest paid..."

If all steps work → ✅ **You're fixed!**

## Troubleshooting

### Still getting ImportError?

```bash
# Clear pip cache and reinstall
pip cache purge
pip install --force-reinstall -r requirements.txt
python app.py
```

### "ModuleNotFoundError: No module named 'sentence_transformers'"

```bash
# Make sure you activated venv
source venv/bin/activate  # Mac/Linux
# or
venv\Scripts\activate     # Windows

# Then install
pip install -r requirements.txt
```

### "No module named 'flask'"

You forgot to activate venv:
```bash
source venv/bin/activate  # Mac/Linux
# or
venv\Scripts\activate     # Windows
pip install -r requirements.txt
```

### Model download slow on first run

This is **normal**! The embedding model is ~400MB and downloads once:
- ⏱️ First run: 30-60 seconds
- ⏱️ Subsequent: Instant

Just wait, don't restart.

### Port 7860 in use

```bash
# Option 1: Kill the process using port 7860
lsof -i :7860  # See what's using it
kill -9 <PID>

# Option 2: Use different port
PORT=8000 python app.py
# Then access: http://localhost:8000
```

## The Files That Were Changed

- ✅ `requirements.txt` - Fixed dependency versions
- ✅ `DEPENDENCY_FIX.md` - Detailed explanation
- ✅ `FIX_AND_RUN.md` - This file

## Next Steps

1. ✅ Update requirements.txt (done!)
2. ✅ Rebuild Docker or reinstall Python deps
3. ✅ Run the app
4. ✅ Test with sample document
5. ✅ Deploy to production!

## Summary

| Step | Status |
|------|--------|
| Identify issue | ✅ Done |
| Fix requirements.txt | ✅ Done |
| Create documentation | ✅ Done |
| Now: Rebuild & test | 👈 You are here |

**Ready?** Run: `docker-compose up -d` or `python app.py`

---

**Last Updated**: June 27, 2026
**Status**: ✅ All fixed and ready to run