Update app.py

app.py

@@ -12,13 +12,13 @@ model_cache = {}
 def zero_shot_classify(audio_path: str, class_names: str, model_name: str) -> Dict[str, float]:
     class_names = class_names.split(",")
     tokenizer = get_tokenizer(multilingual=".en" not in model_name)
-
+    print("#########", model_name)
     if model_name not in model_cache:
         model = whisper.load_model(model_name)
         model_cache[model_name] = model
     else:
         model = model_cache[model_name]
-
+    print("#### Model ####", model)
     internal_lm_average_logprobs = classify.calculate_internal_lm_average_logprobs(
         model=model,
         class_names=class_names,