# 🎯 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: ```python !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 --- ### 2. **Use ONNX Runtime** (Alternative Framework) Convert model to ONNX format (runs without PyTorch): ```bash pip install onnxruntime transformers # Convert model to ONNX # Use ONNX runtime for inference ``` **Pros:** No PyTorch = No MPS **Cons:** Need to convert model first --- ### 3. **Docker with Linux** (Local but Linux) ```bash 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 --- ### 4. **Wait for PyTorch Fix** Future PyTorch versions may fix this. Monitor: - PyTorch GitHub issues - PyTorch release notes --- ## 🚨 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.** --- ## 💡 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. --- ## Quick Colab Setup 1. Open: https://colab.research.google.com/ 2. New notebook 3. Paste this: ```python !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! 🎉 --- **This is the most reliable solution right now.**