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app.py

@@ -12,7 +12,7 @@ asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-
 greek_translation_pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-el")
 
 # load text-to-speech checkpoint and speaker embeddings
-model_id = "Sandiago21/speecht5_finetuned_google_fleurs_greek"  # update with your model id
+model_id = "microsoft/speecht5_tts"  # update with your model id
 # pipe = pipeline("automatic-speech-recognition", model=model_id)
 model = SpeechT5ForTextToSpeech.from_pretrained(model_id)
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")