import gradio as gr from refacer1 import Refacer import argparse import ngrok parser = argparse.ArgumentParser(description='Refacer') parser.add_argument("--max_num_faces", type=int, help="Max number of faces on UI", default=5) parser.add_argument("--force_cpu", help="Force CPU mode", default=False, action="store_true") parser.add_argument("--share_gradio", help="Share Gradio", default=False, action="store_true") parser.add_argument("--server_name", type=str, help="Server IP address", default="127.0.0.1") parser.add_argument("--server_port", type=int, help="Server port", default=7860) parser.add_argument("--colab_performance", help="Use in colab for better performance", default=False,action="store_true") parser.add_argument("--ngrok", type=str, help="Use ngrok", default=None) parser.add_argument("--ngrok_region", type=str, help="ngrok region", default="us") args = parser.parse_args() refacer = Refacer(force_cpu=args.force_cpu,colab_performance=args.colab_performance) num_faces=args.max_num_faces # Connect to ngrok for ingress def connect(token, port, options): account = None if token is None: token = 'None' else: if ':' in token: # token = authtoken:username:password token, username, password = token.split(':', 2) account = f"{username}:{password}" # For all options see: https://github.com/ngrok/ngrok-py/blob/main/examples/ngrok-connect-full.py if not options.get('authtoken_from_env'): options['authtoken'] = token if account: options['basic_auth'] = account try: public_url = ngrok.connect(f"127.0.0.1:{port}", **options).url() except Exception as e: print(f'Invalid ngrok authtoken? ngrok connection aborted due to: {e}\n' f'Your token: {token}, get the right one on https://dashboard.ngrok.com/get-started/your-authtoken') else: print(f'ngrok connected to localhost:{port}! URL: {public_url}\n' 'You can use this link after the launch is complete.') def run(*vars): video_path=vars[0] origins=vars[1:(num_faces+1)] destinations=vars[(num_faces+1):(num_faces*2)+1] thresholds=vars[(num_faces*2)+1:] faces = [] for k in range(0,num_faces): if origins[k] is not None and destinations[k] is not None: faces.append({ 'origin':origins[k], 'destination':destinations[k], 'threshold':thresholds[k] }) return refacer.reface(video_path,faces) origin = [] destination = [] thresholds = [] with gr.Blocks() as demo: with gr.Row(): gr.Markdown("# Refacer") with gr.Row(): video=gr.Video(label="Original video",format="mp4") video2=gr.Video(label="Refaced video",interactive=False,format="mp4") for i in range(0,num_faces): with gr.Tab(f"Face #{i+1}"): with gr.Row(): origin.append(gr.Image(label="Face to replace")) destination.append(gr.Image(label="Destination face")) with gr.Row(): thresholds.append(gr.Slider(label="Threshold",minimum=0.0,maximum=1.0,value=0.2)) with gr.Row(): button=gr.Button("Reface", variant="primary") button.click(fn=run,inputs=[video]+origin+destination+thresholds,outputs=[video2]) if args.ngrok is not None: connect(args.ngrok, args.server_port, {'region': args.ngrok_region, 'authtoken_from_env': False}) # demo.launch(share=True,server_name="0.0.0.0", show_error=True) demo.queue().launch(show_error=True,share=args.share_gradio,server_name=args.server_name,server_port=args.server_port)