Update app.py

app.py

@@ -65,12 +65,9 @@ def prepare_dataset(example):
 
     return example
 
-processed_example = prepare_dataset(dataset[0])
+processed_example = prepare_dataset(dataset[1])
 speaker_embeddings = torch.tensor(processed_example["speaker_embeddings"]).unsqueeze(0)
 
-
-
-# etc.
 # embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
 # speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
 
@@ -96,7 +93,9 @@ def speech_to_speech_translation(audio):
 title = "Demo STST - Multilingual to Català Speech"
 description = """
 Demo for cascaded speech-to-speech translation (STST), mapping from source speech in any language to target speech in Català. Demo uses OpenAI's [Whisper Base](https://huggingface.co/openai/whisper-base) model for speech translation to català, and Microsoft's
-[SpeechT5 TTS](https://huggingface.co/microsoft/speecht5_tts) model for text-to-speech fine-tuned on [projecte-aina/openslr-slr69-ca-trimmed-denoised](https://huggingface.co/datasets/projecte-aina/openslr-slr69-ca-trimmed-denoised). This demo can be improve updating it with [projecte-aina/tts-ca-coqui-vits-multispeaker](https://huggingface.co/projecte-aina/tts-ca-coqui-vits-multispeaker) model:
+[SpeechT5 TTS](https://huggingface.co/microsoft/speecht5_tts) model for text-to-speech fine-tuned on [projecte-aina/openslr-slr69-ca-trimmed-denoised](https://huggingface.co/datasets/projecte-aina/openslr-slr69-ca-trimmed-denoised). 
+
+This demo can be improve updating it with [projecte-aina/tts-ca-coqui-vits-multispeaker](https://huggingface.co/projecte-aina/tts-ca-coqui-vits-multispeaker) model:
 
 ![Cascaded STST](https://huggingface.co/datasets/huggingface-course/audio-course-images/resolve/main/s2st_cascaded.png "Diagram of cascaded speech to speech translation")
 """