Update app.py

app.py

@@ -9,14 +9,14 @@ from transformers import pipeline
 access_token = "token"
 
 # Cargar el modelo directamente con el token
-pipe = pipeline("text-to-speech", model="ovieyra21/mabama-tts", use_auth_token=access_token)
+pipe = pipeline("text-to-speech", model="ovieyra21/tt-mbm", use_auth_token=access_token)
 
 # Intentar cargar el modelo directamente
-processor = AutoProcessor.from_pretrained("ovieyra21/mabama-tts", use_auth_token=access_token)
-model = AutoModelForTextToSpectrogram.from_pretrained("ovieyra21/mabama-tts", use_auth_token=access_token)
+processor = AutoProcessor.from_pretrained("ovieyra21/tt-mbm", use_auth_token=access_token)
+model = AutoModelForTextToSpectrogram.from_pretrained("ovieyra21/tt-mbm", use_auth_token=access_token)
 
 try:
-    models, cfg, task = load_model_ensemble_and_task_from_hf_hub("ovieyra21/mabama-tts", use_auth_token=access_token)
+    models, cfg, task = load_model_ensemble_and_task_from_hf_hub("ovieyra21/tt-mbm", use_auth_token=access_token)
     if not models:
         raise RuntimeError("No se pudo cargar el modelo. Asegúrate de que el nombre del modelo es correcto y que está disponible en Hugging Face Hub.")
     model = models[0]