Update app.py

app.py

@@ -86,14 +86,7 @@ def classify_toxicity(audio_file, text_input, classify_anxiety):
         class_names = classify_anxiety.split(",")
         # tokenizer = get_tokenizer(multilingual=".en" not in model_name)
         tokenizer= WhisperTokenizer.from_pretrained("openai/whisper-large")
-        model = "large"
-        
-        if model_name not in model_cache:
-            model = whisper.load_model(model_name)
-            model_cache[model_name] = model
-        else:
-            # model = model_cache[model_name]
-            class_names = classify_anxiety.split(",")
+        model = "whisper-large"
     
         internal_lm_average_logprobs = classify.calculate_internal_lm_average_logprobs(
             model=model,