Update app.py

app.py

@@ -22,8 +22,8 @@ speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze
 
 
 def translate(audio):
-    # outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language" : "<|de|>"})
-    outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language" : "dutch"})
+    outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language" : "<|de|>"})
+    # outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language" : "<|nl|>"})
     return outputs["text"]