Update app.py

app.py

@@ -95,8 +95,8 @@ def classify_toxicity(audio_file, text_input, classify_anxiety):
         class_names = class_str.split(",")
         print("class names ", class_names, "classify_anxiety ", classify_anxiety)
         
-        # tokenizer = get_tokenizer(multilingual=".en" not in model_name)
-        tokenizer= WhisperTokenizer.from_pretrained("openai/whisper-large")
+        tokenizer = get_tokenizer("large")
+        # tokenizer= WhisperTokenizer.from_pretrained("openai/whisper-large")
     
         internal_lm_average_logprobs = classify.calculate_internal_lm_average_logprobs(
             model=model,