Update app.py

app.py

@@ -30,7 +30,7 @@ tokenized_dataset = miso_tokenizer(tempDataset)  # Tokenize the dataset
 
 input_ids = features.input_ids
 attention_mask = features.attention_mask
-
+'''
 # Evaluate the model
 model.eval()
 with torch.no_grad():
@@ -47,7 +47,7 @@ wer_score = wer(labels, predicted_text)
 
 # Print or return WER score
 print(f"Word Error Rate (WER): {wer_score}")
-
+'''
 '''
 print("check check")
 print(inputs)