Update app.py

app.py

@@ -71,7 +71,7 @@ def ASR(audio):
             logits = model(input_values,attention_mask).logits
         # Decode the transcription
         #result = normalizer(processor.batch_decode(torch.argmax(logits[0], dim=-1)),chars_to_ignore,chars_to_mapping)
-        result = processor.batch_decode(torch.argmax(logits[0], dim=-1)),chars_to_ignore,chars_to_mapping
+        result = processor.decode(torch.argmax(logits[0], dim=-1))
         # max_items = np.random.randint(0, len(result), 10).tolist()
         # for i in max_items:
         #     transcription=result[i]