deploy

Dockerfile

@@ -21,11 +21,11 @@ RUN pip install --no-cache-dir -r requirements.txt
 # Copy application code
 COPY app.py .
 
-# Set environment variable for transformers cache
-ENV TRANSFORMERS_CACHE=/app/cache
+# Set environment variable for Hugging Face cache
+ENV HF_HOME=/app/cache
 
 # Expose port
 EXPOSE 8000
 
 # Run the FastAPI app with uvicorn
-CMD ["uvicorn", "app.py:app", "--host", "0.0.0.0", "--port", "8000"]
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]

app.py

@@ -1,5 +1,7 @@
 import logging
 import os
+import sys
+import uvicorn
 from fastapi import FastAPI, File, UploadFile, HTTPException
 from transformers import pipeline, WhisperForConditionalGeneration, WhisperProcessor
 import torch
@@ -14,15 +16,32 @@ logging.basicConfig(
     format="%(asctime)s [%(levelname)s] %(message)s",
     handlers=[
         logging.FileHandler("/app/logs/app.log"),
-        logging.StreamHandler()
+        logging.StreamHandler(sys.stdout)
     ]
 )
 logger = logging.getLogger(__name__)
 
+# Log system and dependency information
+logger.info(f"Python version: {sys.version}")
+try:
+    import transformers
+    import torch
+    logger.info(f"Transformers version: {transformers.__version__}")
+    logger.info(f"Torch version: {torch.__version__}")
+except ImportError as e:
+    logger.error(f"Failed to import dependency: {str(e)}")
+    raise
+
 # Ensure cache directory exists
-os.makedirs("/app/cache", exist_ok=True)
-os.environ["TRANSFORMERS_CACHE"] = "/app/cache"
+try:
+    os.makedirs("/app/cache", exist_ok=True)
+    os.environ["HF_HOME"] = "/app/cache"
+    logger.info(f"Set HF_HOME to /app/cache")
+except Exception as e:
+    logger.error(f"Failed to set up cache directory: {str(e)}")
+    raise
 
+# Initialize FastAPI app
 app = FastAPI(title="Quran Transcription API")
 
 # Load model and processor
@@ -133,4 +152,13 @@ async def transcribe_audio(file: UploadFile = File(...)):
             return {"transcription": transcription}
         except Exception as e:
             logger.error(f"Transcription failed: {str(e)}")
-            raise HTTPException(status_code=500, detail="Transcription failed")
+            raise HTTPException(status_code=500, detail="Transcription failed")
+
+if __name__ == "__main__":
+    logger.info("Starting Uvicorn server locally")
+    uvicorn.run(
+        "app:app",
+        host="0.0.0.0",
+        port=8000,
+        log_level="info"
+    )

requirements.txt

@@ -1,6 +1,6 @@
-fastapi==0.115.0 
-uvicorn==0.30.6 
-transformers==4.44.2 
-torch==2.4.1 
-soundfile==0.12.1 
+fastapi==0.115.0
+uvicorn==0.30.6
+transformers==4.44.2
+torch==2.4.1
+soundfile==0.12.1
 python-multipart==0.0.9