FINAL_SOLUTION.md

🎯 Final Solution: PyTorch MPS Bug on M2 Mac

The Reality

Even CPU-only PyTorch and smaller models hit the mutex lock. This is a deep PyTorch/transformers bug that can't be fixed from Python code.

✅ Best Solutions (Ranked)

1. Google Colab (100% Works) ⭐ RECOMMENDED

Why: No macOS = No MPS = No bugs

Steps:

1. Go to https://colab.research.google.com/
2. Create new notebook
3. Run:

!pip install -q transformers torch pandas gradio kagglehub
!git clone https://github.com/ChauHPham/AITextDetector.git
%cd AITextDetector
!git checkout test

# Run Gradio app
!python gradio_app.py

Benefits:

• ✅ Free GPU (faster)
• ✅ No MPS issues
• ✅ Works perfectly
• ✅ Can share the link

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2. Use ONNX Runtime (Alternative Framework)

Convert model to ONNX format (runs without PyTorch):

pip install onnxruntime transformers
# Convert model to ONNX
# Use ONNX runtime for inference

Pros: No PyTorch = No MPS
Cons: Need to convert model first

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3. Docker with Linux (Local but Linux)

docker run -it --rm -v ~/Downloads/ai_text_detector:/workspace -p 7860:7860 python:3.10
cd /workspace
pip install -r requirements.txt
python gradio_app.py

Pros: Works locally
Cons: Need Docker installed

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4. Wait for PyTorch Fix

Future PyTorch versions may fix this. Monitor:

• PyTorch GitHub issues
• PyTorch release notes

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🚨 Why Nothing Works Locally

The mutex lock happens in PyTorch's C++ code during:

• from_pretrained() - ANY model
• MPS backend initialization
• Deep in PyTorch internals

We can't fix it from Python.

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💡 Recommendation

Use Google Colab - it's free, works perfectly, and you get a GPU!

Your code is fine - it's just PyTorch on M2 Mac that's broken.

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Quick Colab Setup

1. Open: https://colab.research.google.com/
2. New notebook
3. Paste this:

!pip install -q transformers torch pandas gradio kagglehub
!git clone https://github.com/ChauHPham/AITextDetector.git
%cd AITextDetector
!git checkout test
!python gradio_app.py

4. Click the public URL that appears
5. Use your app! 🎉

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This is the most reliable solution right now.