Update app.py

app.py

@@ -9,7 +9,7 @@ from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
 
 #Instantiating the model object. 
 
-model = AutoModelForSpeechSeq2Seq.from_pretrained(pretrained_model_name_or_path= "distil-whisper/distil-large-v2",
+model = AutoModelForSpeechSeq2Seq.from_pretrained(pretrained_model_name_or_path= "openai/whisper-large-v3",
                                                   torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
                                                   use_safetensors=True)
 
@@ -17,12 +17,12 @@ model = model.to("cuda")
 
 #Instantiating the processor object.
 
-processor = AutoProcessor.from_pretrained(pretrained_model_name_or_path="distil-whisper/distil-large-v2")
+processor = AutoProcessor.from_pretrained(pretrained_model_name_or_path="openai/whisper-large-v3")
 
 #Instantiating the transformer class' pipeline object.
 
 pipe = pipeline(task="automatic-speech-recognition",
-                model="distil-whisper/distil-large-v2",
+                model="openai/whisper-large-v3",
                 tokenizer=processor.tokenizer,
                 feature_extractor=processor.feature_extractor,
                 max_new_tokens=128,