Update app.py

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 from refacer import Refacer
+import argparse
 import os
 import requests
 
@@ -24,60 +25,69 @@ def download_model():
 # Download the model when the script runs
 download_model()
 
+# Argument parser
+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")
+args = parser.parse_args()
+
 # Initialize the Refacer class
-refacer = Refacer(force_cpu=False, colab_performance=False)
+refacer = Refacer(force_cpu=args.force_cpu, colab_performance=args.colab_performance)
 
-# Number of faces to handle
-num_faces = 5
+num_faces = args.max_num_faces
 
 # Run function for refacing video
-def run(video_path, *inputs):
-    origins = inputs[:num_faces]
-    destinations = inputs[num_faces:2*num_faces]
-    thresholds = inputs[2*num_faces:]
+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 i in range(num_faces):
-        if origins[i] is not None and destinations[i] is not None:
+    for k in range(0, num_faces):
+        if origins[k] is not None and destinations[k] is not None:
             faces.append({
-                "origin": origins[i],
-                "destination": destinations[i],
-                "threshold": thresholds[i]
+                'origin': origins[k],
+                'destination': destinations[k],
+                'threshold': thresholds[k]
             })
 
-    # Perform refacing
-    refaced_video_path = refacer.reface(video_path, faces)
-    return refaced_video_path  # Return the path of the refaced video
+    # Call refacer to process video and get file path
+    refaced_video_path = refacer.reface(video_path, faces)  # refaced video path
+    print(f"Refaced video can be found at {refaced_video_path}")
 
-# Define Gradio UI
-with gr.Blocks() as demo:
-    gr.Markdown("# Refacer - Replace Faces in Videos")
+    # Returning the video file path directly for Gradio to show it
+    return refaced_video_path  # Gradio will handle it and show directly in the UI
+
+# Prepare Gradio components
+origin = []
+destination = []
+thresholds = []
 
-    # Input and output components
+with gr.Blocks() as demo:
+    with gr.Row():
+        gr.Markdown("# Refacer")
     with gr.Row():
-        input_video = gr.Video(label="Original Video", format="mp4")
-        output_video = gr.Video(label="Refaced Video", interactive=False, format="mp4")
+        video = gr.Video(label="Original video", format="mp4")
+        video2 = gr.Video(label="Refaced video", interactive=False, format="mp4")
 
-    # Face replacement tabs
-    origins = []
-    destinations = []
-    thresholds = []
-    for i in range(num_faces):
+    for i in range(0, num_faces):
         with gr.Tab(f"Face #{i+1}"):
-            origins.append(gr.Image(label="Origin Face"))
-            destinations.append(gr.Image(label="Destination Face"))
-            thresholds.append(gr.Slider(label="Threshold", minimum=0.0, maximum=1.0, value=0.2))
-
-    # Reface button
+            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():
-        reface_button = gr.Button("Reface")
+        button = gr.Button("Reface", variant="primary")
 
-    # Connect the function to the Gradio UI
-    reface_button.click(
-        fn=run,
-        inputs=[input_video] + origins + destinations + thresholds,
-        outputs=output_video
-    )
+    # Click event: Refacing the video and showing the refaced video in Gradio
+    button.click(fn=run, inputs=[video] + origin + destination + thresholds, outputs=[video2])
 
 # Launch the Gradio app
-demo.queue().launch(share=True)
+demo.queue().launch(show_error=True, share=args.share_gradio, server_name="0.0.0.0", server_port=args.server_port)