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# π― 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.
## β
Best Solutions (Ranked)
### 1. **Google Colab** (100% Works) β 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:**
- β
Free GPU (faster)
- β
No MPS issues
- β
Works perfectly
- β
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
---
## π¨ 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.**
---
## π‘ 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! π
---
**This is the most reliable solution right now.**
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