Update app.py

app.py

@@ -10,6 +10,8 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 # load speech translation checkpoint
 asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=device)
+forced_decoder_ids = processor.get_decoder_prompt_ids(language="spanish", task="translate")
+
 
 # load text-to-speech checkpoint and speaker embeddings
 processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")