Update app.py

app.py

@@ -18,8 +18,8 @@ def inference(audio_file, audio_file2):
      input_values = processor(map_to_array(audio_file.name), return_tensors="pt", padding="longest").input_values  # Batch size 1
      logits = model(input_values).logits
   
-      with torch.no_grad():
-        predicted_ids = torch.argmax(logits, dim=-1)
+     with torch.no_grad():
+       predicted_ids = torch.argmax(logits, dim=-1)
       predicted_ids[predicted_ids == -100] = processor.tokenizer.pad_token_id
       transcription1 = processor.tokenizer.batch_decode(predicted_ids)[0]
     else: