FIX_AND_RUN.md

🚀 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

- 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)

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

# 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

# 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

# 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

docker-compose restart
# or
docker-compose down && docker-compose up -d

Python

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

Verify App Works

1. Open browser: http://localhost:7860
2. Upload test file:

   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?

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

"ModuleNotFoundError: No module named 'sentence_transformers'"

# 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:

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

# 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