Update app.py

app.py

@@ -39,6 +39,13 @@ def transcribe(audio_file):
                 transc = transcription.replace("[UNK]", "")
                 print(transc)
                 output.append((start,ind,transc))
+        else:
+            input_values = processor(audio, sampling_rate=16000, return_tensors="pt").input_values
+            with torch.no_grad():    
+                logits = model(input_values).logits
+            predicted_ids = torch.argmax(logits, dim=-1)
+            transcription = processor.batch_decode(predicted_ids)[0]
+            output.append((start,len(audio)/sr),transcription)
         return output