Update app.py

app.py

@@ -38,22 +38,6 @@ def generate_story(scenario):
     print(story)
     return story
 
-def recite_the_poem(content):
-    processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
-    model = SpeechT5ForTextToSpeech.from_pretrained("microsoft/speecht5_tts")
-    vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
-
-    inputs = processor(text=content, return_tensors="pt")
-
-    embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
-    speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
-
-    speech = model.generate_speech(inputs["input_ids"], speaker_embeddings, vocoder=vocoder)
-
-    sf.write("speech.wav", speech.numpy(), samplerate=16000)
-    
-    return "speech.wav"
-
 def recite_the_poem(content):
     processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
     model = SpeechT5ForTextToSpeech.from_pretrained("microsoft/speecht5_tts")