Update app.py

app.py

@@ -33,9 +33,10 @@ def asr_transcript(input_file):
 
   speech = load_data(input_file)
   #Tokenize
-  input_values = tokenizer(speech, return_tensors="pt").input_values
+  input_features = processor(speech, return_tensors="pt").input_features  #, padding="longest" , return_tensors="pt"
+  #input_values = tokenizer(speech, return_tensors="pt").input_values
   #Take logits
-  logits = model(input_values).logits
+  logits = model(input_features).logits
   #Take argmax
   predicted_ids = torch.argmax(logits, dim=-1)
   #Get the words from predicted word ids