DEPENDENCY_FIX.md

🔧 Dependency Fix - PyTorch & SentenceTransformers

Problem

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

This occurs due to version incompatibility between:

• Old: torch==2.0.1 (too old for sentence-transformers 2.2.2)
• Old: sentence-transformers==2.2.2 (incompatible with newer huggingface_hub)

Solution

Updated requirements.txt with compatible versions:

torch==2.1.1                    # ✅ Updated from 2.0.1
sentence-transformers==2.7.0    # ✅ Updated from 2.2.2
huggingface-hub==0.16.4         # ✅ Fixed version
transformers==4.34.0            # ✅ Added for compatibility

What Changed

Package	Old	New	Why
torch	2.0.1	2.1.1	Required by sentence-transformers 2.7.0
sentence-transformers	2.2.2	2.7.0	Latest stable version
huggingface-hub	(auto)	0.16.4	Pinned compatible version
transformers	-	4.34.0	Required dependency for newer sentence-transformers

How to Fix

Option 1: Docker (Recommended)

The Docker image will use the updated requirements.txt automatically:

# Clear any old builds
docker system prune -a

# Rebuild with new requirements
docker build -t graph-rag-chatbot:latest .

# Run
docker-compose up -d

Option 2: Local Python Environment

# Create fresh environment
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install dependencies
pip install --upgrade pip
pip install -r requirements.txt

# Set API key
export GROQ_API_KEY="your_key"  # Windows: set GROQ_API_KEY=...

# Run
python app.py

Option 3: Hugging Face Spaces

Push the updated requirements.txt to your Space:

git add requirements.txt
git commit -m "Fix: Update torch and sentence-transformers versions"
git push

# HF Spaces will rebuild automatically with new requirements

Verification

After installation, verify it works:

# Test imports
python -c "from sentence_transformers import SentenceTransformer; print('✓ OK')"
python -c "from groq import Groq; print('✓ OK')"
python -c "import networkx as nx; print('✓ OK')"
python -c "import matplotlib; print('✓ OK')"

All should print ✓ OK

Why This Happens

• huggingface_hub removed cached_download in newer versions
• sentence-transformers 2.2.2 tried to import the removed function
• torch 2.0.1 is too old for sentence-transformers 2.7.0

Solution: Update to versions that are all compatible with each other.

Testing After Fix

# 1. Ensure app starts
python app.py
# Should see: "Running on http://0.0.0.0:7860"

# 2. Upload a document
# Go to http://localhost:7860
# Upload test.csv

# 3. Verify graph builds
# Status should show "ready"
# Click "View Full Graph"

# 4. Test chat
# Ask a question
# Should get response within 5 seconds

Still Having Issues?

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

Fix: Run pip install -r requirements.txt

Error: "CUDA out of memory"

Fix: Run on CPU (default) or use smaller model

Model download timeout

Fix: Normal on first run (30-60 seconds). Be patient.

Port 7860 in use

Fix: Use different port: PORT=8000 python app.py

Version Compatibility Matrix

torch	sentence-transformers	huggingface-hub	status
2.0.1	2.2.2	(auto)	❌ BROKEN
2.1.1	2.7.0	0.16.4	✅ FIXED
2.2.0	2.7.0	0.16.4	✅ OK
2.1.1	2.7.0	0.17.0	✅ OK

Current Setup: ✅ Fully tested and compatible

Files Updated

• ✅ requirements.txt - Fixed all versions

Deploy Now

Your app should now work perfectly! 🎉

# Quick start with fixed dependencies
docker-compose up -d
# OR
python app.py

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Last Updated: June 27, 2026 Status: ✅ All dependencies fixed