Update app.py

app.py

@@ -1,33 +1,37 @@
 import gradio as gr
 from TTS.api import TTS
 
-# Initialize Coqui TTS with XTTS-v2
-tts = TTS(model_name="coqui/XTTS-v2", progress_bar=False)
+# Initialize Coqui TTS with a pre-trained model
+tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False)
 
-def generate_speech(text, speaker_wav, language):
-    output_file = "/tmp/output.wav"
+def generate_speech(text):
+    """
+    Generate speech from the input text.
+    Saves the audio to a temporary file and returns the file path.
+    """
+    output_file = "/tmp/output.wav"  # Temporary file for the generated audio
     try:
-        tts.tts_to_file(
-            text=text,
-            file_path=output_file,
-            speaker_wav=speaker_wav,  # Path to reference audio for voice cloning
-            language=language         # Language code (e.g., "en" for English)
-        )
+        tts.tts_to_file(text=text, file_path=output_file)
+        return output_file  # Return the path to the generated audio
     except Exception as e:
         return f"Error generating speech: {str(e)}"
-    return output_file
 
 # Create a Gradio interface
 with gr.Blocks() as demo:
-    gr.Markdown("# Coqui XTTS-v2 Demo")
+    gr.Markdown("# Coqui TTS Demo")
     gr.Markdown("Type some text and hear it spoken!")
     
-    input_text = gr.Textbox(label="Enter Text", placeholder="Type something...")
-    speaker_wav = gr.File(label="Upload Reference Audio for Voice Cloning")
-    language = gr.Dropdown(choices=["en", "es", "fr", "de"], label="Language", value="en")
-    output_audio = gr.Audio(label="Generated Speech", type="filepath")
+    with gr.Row():
+        input_text = gr.Textbox(label="Enter Text", placeholder="Type something...", lines=3)
     
-    submit_button = gr.Button("Generate Speech")
-    submit_button.click(generate_speech, inputs=[input_text, speaker_wav, language], outputs=output_audio)
+    with gr.Row():
+        submit_button = gr.Button("Generate Speech")
+    
+    with gr.Row():
+        output_audio = gr.Audio(label="Generated Speech", type="filepath")
+
+    # Connect the button click to the generate_speech function
+    submit_button.click(generate_speech, inputs=input_text, outputs=output_audio)
 
+# Launch the app
 demo.launch(share=True)