Upload openvoice_app.py with huggingface_hub

openvoice_app.py

@@ -20,7 +20,7 @@ load_dotenv()
 app = Flask(__name__)
 
 # Setup Limiter for rate limiting and quota management based on IP address
-limiter = Limiter(get_remote_address, app=app, default_limits=["1 per 10 minutes"])
+limiter = Limiter(get_remote_address, app=app, default_limits=["5 per minute"])
 
 # Argument parsing
 parser = argparse.ArgumentParser()
@@ -51,7 +51,7 @@ def delete_voice(api_key, voice_id):
     return response.status_code, response.text
 
 # Predict function with rate limiting based on IP address
-@limiter.limit("1 per 10 minutes")
+#@limiter.limit("100 per minute")
 def predict(prompt, style, audio_file_pth):
     text_hint = ''
     if len(prompt) < 2:
@@ -114,12 +114,7 @@ with gr.Blocks(gr.themes.Glass()) as demo:
             audio_gr = gr.Audio(label="Synthesised Audio", autoplay=True)
             ref_audio_gr = gr.Audio(label="Reference Audio Used")
 
-            def handle_click(prompt, style, audio_file_pth):
-                ip = request.remote_addr
-                return predict(prompt, style, audio_file_pth, ip)
-            
-            tts_button.click(handle_click,
-                             [input_text_gr, style_gr, ref_gr], outputs=[out_text_gr, audio_gr, ref_audio_gr])
+            tts_button.click(predict, [input_text_gr, style_gr, ref_gr], outputs=[out_text_gr, audio_gr, ref_audio_gr])
 
 demo.queue()
 demo.launch(debug=True, show_api=False, share=args.share)