Fix NumPy array writable warning in audio processing

v1.4.2 - Minor fix: PyTorch non-writable tensor warning
- Added .copy() to audio_data before torch.from_numpy()
- Prevents: 'PyTorch does not support non-writable tensors' warning
- Improves memory safety during audio tensor conversion
- CPU transcription working well with client connections

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

app.py

@@ -21,7 +21,7 @@ from fastapi.responses import JSONResponse, HTMLResponse
 import uvicorn
 
 # Version tracking
-VERSION = "1.4.1"
+VERSION = "1.4.2"
 COMMIT_SHA = "TBD"
 
 # Configure logging
@@ -137,7 +137,8 @@ def transcribe_audio_moshi(audio_data: np.ndarray, sample_rate: int = 24000) ->
         logger.info(f"Using device for transcription: {model_device}")
         
         # Convert to torch tensor and put on same device as models
-        wav = torch.from_numpy(audio_data).unsqueeze(0).unsqueeze(0).to(model_device)
+        # Copy array to avoid PyTorch writable tensor warning
+        wav = torch.from_numpy(audio_data.copy()).unsqueeze(0).unsqueeze(0).to(model_device)
         
         # Process with Mimi codec in streaming mode
         with torch.no_grad(), mimi.streaming(batch_size=1):