Update app.py

app.py

@@ -44,7 +44,7 @@ quantized_model1 = torch.quantization.quantize_dynamic(
 p1 = pipeline('automatic-speech-recognition', model=model1, tokenizer=tokenizer1, feature_extractor=feat_ext1)
 p2 = pipeline('automatic-speech-recognition', model=model2, tokenizer=tokenizer2, feature_extractor=feat_ext2)
 p3 = pipeline('automatic-speech-recognition', model=model3, tokenizer=tokenizer3, feature_extractor=feat_ext3)
-p1_quant = pipeline('automatic-speech-recognition', model=model1, tokenizer=tokenizer1, feature_extractor=feat_ext1)
+p1_quant = pipeline('automatic-speech-recognition', model=quantized_model1, tokenizer=tokenizer1, feature_extractor=feat_ext1)
 
 def transcribe(mic_input, upl_input, model_type):
     if mic_input: