Update app.py

app.py

@@ -3,8 +3,8 @@ import torch
 from datasets import load_dataset
 from transformers import pipeline, SpeechT5Processor, SpeechT5HifiGan, SpeechT5ForTextToSpeech
 
-model_id = "gitgato/tr-xtts"  # update with your model id
-pipe = pipeline("text-to-speech", model="gitgato/tr-xtts")
+model_id = "ovieyra21/mabama-tt5"  # update with your model id
+pipe = pipeline("text-to-speech", model="ovieyra21/mabama-tt5")
 model = SpeechT5ForTextToSpeech.from_pretrained(model_id)
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
 embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
@@ -54,7 +54,7 @@ syntesize_speech_gradio = gr.Interface(
     synthesize_speech,
     inputs=gr.Textbox(label="Text", placeholder="Type something here..."),
     outputs=gr.Audio(label="Speech"),
-    examples=["Je n'entrerai pas dans les détails, mais je profiterai des secondes qui me restent pour exposer la position ALDE sur le marquage CE, un des points cruciaux de ce rapport."],
+    examples=["Hola, probando audio."],
     title=title,
     description=description,
 )