Update app.py

app.py

@@ -4,7 +4,7 @@ import numpy as np
 from scipy.io import wavfile
 from voice_processing import parallel_tts, get_model_names, voice_mapping
 from io import BytesIO
-import asyncio
+import asyncio  # Import asyncio
 
 # Define an asynchronous function for the Gradio interface
 async def convert_tts(model_name, tts_text, selected_voice, slang_rate, use_uploaded_voice, voice_upload):
@@ -23,8 +23,7 @@ async def convert_tts(model_name, tts_text, selected_voice, slang_rate, use_uplo
     )
     
     # Asynchronous call to your tts processing function using parallel processing
-    loop = asyncio.get_event_loop()
-    result = await loop.run_in_executor(None, parallel_tts, [task])
+    result = await asyncio.get_event_loop().run_in_executor(None, parallel_tts, [task])
     info, _, (tgt_sr, audio_output) = result[0]
 
     # Process audio output to bytes
@@ -59,13 +58,10 @@ iface = gr.Interface(
     ],
     outputs=[
         gr.JSON(label="Info"),
-        gr.Audio(label="Generated Audio")
+        gr.Textbox(label="Audio URI")
     ],
-    title="Text-to-Speech Conversion",
-    concurrency_limit=10  # Limit concurrent requests to 10
+    title="Text-to-Speech Conversion"
 )
 
 # Launch the interface
-if __name__ == "__main__":
-    iface.queue()
-    iface.launch(debug=True, show_error=True)
+iface.launch(debug=True)  # Set share=True to create a public link