Change language to Dutch and model to Sanchit's

app.py

@@ -12,7 +12,7 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=device)
 
 # load text-to-speech checkpoint and speaker embeddings
-tts_model_name = "sfedar/speecht5_finetuned_voxpopuli_es"
+tts_model_name = "sanchit-gandhi/speecht5_tts_vox_nl"
 processor = SpeechT5Processor.from_pretrained(tts_model_name)
 model = SpeechT5ForTextToSpeech.from_pretrained(tts_model_name).to(device)
 vocoder = SpeechT5HifiGan.from_pretrained(tts_model_name).to(device)
@@ -22,7 +22,7 @@ speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze
 
 
 def translate(audio):
-    outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "translate", "language": "es"})
+    outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "translate", "language": "nl"})
     return outputs["text"]