Fix model loading: Add detailed logging and proper file handling

Dockerfile

@@ -23,12 +23,13 @@ RUN mkdir -p /code/static/uploads \
     && chmod -R 777 /code/external \
     && chmod -R 777 /code/templates
 
-# Copy the model file first
-COPY external/BodybuildingPoseClassifier/bodybuilding_pose_classifier.h5 /code/external/BodybuildingPoseClassifier/
-
-# Copy the rest of the application
+# Copy the entire application first
 COPY . .
 
+# Verify model file exists and has correct permissions
+RUN ls -la /code/external/BodybuildingPoseClassifier/ && \
+    chmod 644 /code/external/BodybuildingPoseClassifier/bodybuilding_pose_classifier.h5
+
 # Set environment variables
 ENV PYTHONUNBUFFERED=1
 ENV FLASK_APP=app.py

app.py

@@ -89,10 +89,20 @@ try:
     cnn_model_path = os.path.join(MODEL_DIR, 'bodybuilding_pose_classifier.h5')
     logger.info(f"Looking for model at: {cnn_model_path}")
     
+    # List directory contents to debug
+    logger.info(f"Contents of MODEL_DIR: {os.listdir(MODEL_DIR)}")
+    
     if not os.path.exists(cnn_model_path):
+        logger.error(f"Model file not found at {cnn_model_path}")
+        logger.error(f"Current working directory: {os.getcwd()}")
+        logger.error(f"Directory contents: {os.listdir('.')}")
         raise FileNotFoundError(f"CNN model not found at {cnn_model_path}")
     
+    # Check file permissions
+    logger.info(f"Model file permissions: {oct(os.stat(cnn_model_path).st_mode)[-3:]}")
+    
     # Load model with custom_objects to handle any custom layers
+    logger.info("Attempting to load model...")
     cnn_model = load_model(cnn_model_path, compile=False)
     logger.info("CNN model loaded successfully")
 except Exception as e: