Update app.py

correct method "asr_pipe" to be called instead of "pipe".

app.py

@@ -24,7 +24,7 @@ speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze
 
 def translate(audio):
     # outputs = pipe(audio, max_new_tokens=256, generate_kwargs={"task":"translate"})
-    outputs = pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language": "es"})
+    outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language": "es"})
     return outputs["text"]