Update app.py

app.py

@@ -11,8 +11,8 @@ model = SpeechT5ForTextToSpeech.from_pretrained("krishna195/speecht5_krishna_fin
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
 processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
 
-# Speaker embeddings for speech generation (replace this with actual embeddings if needed)
-speaker_embeddings = torch.randn(1, 512)  # Example speaker embedding size (dummy embeddings)
+# Dummy speaker embeddings for speech generation (replace with actual embeddings if needed)
+speaker_embeddings = torch.randn(1, 512)  # Example speaker embedding size
 
 # Function to generate speech from input text
 def text_to_speech(input_text):
@@ -32,15 +32,12 @@ def text_to_speech(input_text):
 # Create Gradio UI
 iface = gr.Interface(
     fn=text_to_speech,
-    inputs="text",
+    inputs=gr.Textbox(label="Enter Text"),
     outputs="audio",
     title="Text to Speech Generator",
-    description="Enter the text you want to convert to speech, and the model will generate the corresponding speech.",
-    examples=[
-        ["Hello, how are you doing today?"],
-        ["The CUDA programming model allows parallel computing on GPUs."],
-        ["TensorFlow and PyTorch are popular machine learning frameworks."]
-    ]
+    description="Enter the text you want to convert to speech, and the model will generate the corresponding audio.",
+    layout="vertical",  # Use vertical layout
+    theme="default"  # Use default theme
 )
 
 # Launch the Gradio interface