DEPLOYMENT_READY.md

✅ DEPLOYMENT READY FOR HUGGINGFACE SPACES

Status: All Import Errors Fixed!

Your app will no longer crash on missing files. Optional modules gracefully degrade.

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🔧 What Was Fixed

Issue 1: ModuleNotFoundError: No module named 'quote_extractor'

Status: ✅ FIXED

• Made quote_extractor optional
• If missing: Shows warning, disables quote features
• App continues to work

Issue 2: ModuleNotFoundError: No module named 'production_logger'

Status: ✅ FIXED

• Made production_logger optional
• If missing: Shows warning, uses basic logging
• App continues to work

Issue 3: Quality Score 0.00

Status: ✅ FIXED

• Removed hardcoded LM Studio configuration
• Configured local model inference (Phi-3-mini)
• Works on HuggingFace Spaces without .env

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📦 Files to Upload

MINIMUM (9 files - core functionality):

1. app.py
2. llm.py
3. extractors.py
4. tagging.py
5. chunking.py
6. validation.py
7. reporting.py
8. dashboard.py
9. requirements.txt

RECOMMENDED (11 files - full features):

Same as above PLUS:
10. production_logger.py
11. quote_extractor.py

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🚀 Deploy Now

Step 1: Create Space

1. Go to: https://huggingface.co/new-space
2. SDK: Gradio
3. Hardware: GPU (T4) ⚠️ Required for good performance

Step 2: Upload Files

1. Click "Files" → "Upload files"
2. Drag the 9-11 files listed above
3. Click "Commit"

Step 3: Wait for Build

• First time: ~5-10 minutes (installs dependencies + downloads model)
• Watch "Logs" tab for progress

Step 4: Verify

Check logs for:

✅ Configuration loaded for HuggingFace Spaces
🚀 TranscriptorAI Enterprise - LLM Backend: local
[Local Model] Loading microsoft/Phi-3-mini-4k-instruct...
[Local Model] ✅ Model loaded on cuda:0

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⚙️ What Happens on Startup

With All 11 Files:

✅ Configuration loaded for HuggingFace Spaces
🚀 TranscriptorAI Enterprise - LLM Backend: local
🔧 USE_HF_API: False
🔧 USE_LMSTUDIO: False
🔧 DEBUG_MODE: False
[Local Model] Loading microsoft/Phi-3-mini-4k-instruct...
[Local Model] ✅ Model loaded on cuda:0
Running on local URL:  http://0.0.0.0:7860

With Only 9 Core Files (Missing Optional):

⚠️ Production logging not available - using basic logging
⚠️ Quote extraction not available - reports will not include storytelling quotes
✅ Configuration loaded for HuggingFace Spaces
🚀 TranscriptorAI Enterprise - LLM Backend: local
[Local Model] Loading microsoft/Phi-3-mini-4k-instruct...
[Local Model] ✅ Model loaded on cuda:0
Running on local URL:  http://0.0.0.0:7860

Both work! Warnings are normal if you skip optional files.

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🧪 Test Your Deployment

1. Upload a DOCX transcript
2. Select "HCP" as interviewee type
3. Click "Analyze Transcripts"
4. Wait ~5-10 minutes

Expected Results:

• ✅ Quality Score: 0.7-1.0 (not 0.00!)
• ✅ CSV download available
• ✅ PDF download available
• ✅ Dashboard shows charts

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🐛 Troubleshooting

Issue: Still getting ModuleNotFoundError

Check: Did you upload the right app.py?

• Make sure you're uploading the UPDATED app.py (with optional imports)
• Re-download/copy from your local directory

Issue: Quality Score still 0.00

Enable debug mode:

1. Settings → Variables
2. Add: DEBUG_MODE=True
3. Restart Space
4. Check logs for detailed error messages

Issue: Very slow processing

Check:

1. Settings → Hardware
2. Should be "GPU (T4)" not "CPU"
3. Restart Space if you changed it

Issue: Out of memory

Use smaller model:

1. Settings → Variables
2. Add: LOCAL_MODEL=TinyLlama/TinyLlama-1.1B-Chat-v1.0
3. Restart Space

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📋 Quick Checklist

Before uploading, verify:

• You have app.py (the UPDATED one with optional imports)
• You have llm.py (with local model support)
• You have requirements.txt (with transformers, torch, accelerate)
• You selected GPU hardware in Space settings
• You did NOT upload .env file
• You did NOT upload test_*.py files

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💾 File Verification

Run this to verify you have all files:

# Check required files
ls -1 app.py llm.py extractors.py tagging.py chunking.py validation.py reporting.py dashboard.py requirements.txt

# Check optional files
ls -1 production_logger.py quote_extractor.py

All should show the filename (not "No such file").

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✨ You're Ready!

1. ✅ Import errors fixed
2. ✅ Local model configured
3. ✅ Optional modules gracefully degrade
4. ✅ No .env needed
5. ✅ No terminal commands needed

Just upload the files and it works!

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📞 Still Having Issues?

Most common causes:

1. Uploaded old app.py (without optional import fixes)
2. Selected CPU instead of GPU
3. Missing a core file (one of the 9 required)

Quick fix:

• Re-download/copy app.py from your directory
• Make sure it has the lines:

  try:
      from production_logger import ...
  except ImportError:
      print("⚠️ Production logging not available...")
  

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Last Updated: October 2025

Status: READY TO DEPLOY 🚀