Update app.py

app.py

@@ -13,12 +13,15 @@ def zero_shot_classify(audio_path: str, class_names: str, model_name: str) -> Di
     class_names = class_names.split(",")
     print("model name: ", model_name)
     tokenizer = get_tokenizer(multilingual=".en" not in model_name)
+    print("tokenizer ", tokenizer)
 
     if model_name not in model_cache:
         model = whisper.load_model(model_name)
+        print("whisper model not in model_cache ", model)
         model_cache[model_name] = model
     else:
         model = model_cache[model_name]
+        print("model is in cache ", model)
 
     internal_lm_average_logprobs = classify.calculate_internal_lm_average_logprobs(
         model=model,