Update app.py

app.py

@@ -14,7 +14,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 def load_models_and_data():
     model_name = "microsoft/speecht5_tts"
     processor = SpeechT5Processor.from_pretrained(model_name)
-    model = SpeechT5ForTextToSpeech.from_pretrained("Beehzod/speecht5_finetuned_uz_customData2").to(device)
+    model = SpeechT5ForTextToSpeech.from_pretrained("Beehzod/uz_2301_3_tts").to(device)
     vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan").to(device)
     
     spk_model_name = "speechbrain/spkrec-xvect-voxceleb"
@@ -26,7 +26,7 @@ def load_models_and_data():
     
     # Load a sample from a dataset for default embedding
     dataset = load_dataset("Beehzod/UzTTS_data", split="train")
-    example = dataset[304]
+    example = dataset[30]
     
     return model, processor, vocoder, speaker_model, example