retry

app.py

@@ -16,18 +16,27 @@ logging.basicConfig(
     format='%(asctime)s - %(levelname)s - %(message)s'
 )
 
+checkpoint_dir = "facebook/final_m2m100"
 # Initialize translation model
-checkpoint_dir = "bishaltwr/final_m2m100"  # Change to Hugging Face model ID when deployed
 try:
+    logging.info(f"Attempting to load M2M100 from {checkpoint_dir}")
     tokenizer = M2M100Tokenizer.from_pretrained(checkpoint_dir)
+    logging.info("M2M100 tokenizer loaded successfully")
+    
     model_m2m = M2M100ForConditionalGeneration.from_pretrained(checkpoint_dir)
+    logging.info("M2M100 model loaded successfully")
+    
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+    logging.info(f"Using device: {device}")
+    
     model_m2m.to(device)
     m2m_available = True
+    logging.info("M2M100 model ready for use")
 except Exception as e:
     logging.error(f"Error loading M2M100 model: {e}")
     m2m_available = False
-
+    logging.info("Setting m2m_available to False")
+    
 # Initialize ASR model
 model_id = "bishaltwr/wav2vec2-large-mms-1b-nepali"
 try: