Update app.py

app.py

@@ -1,88 +1,88 @@
-# -*- coding:UTF-8 -*-
-# !/usr/bin/env python
-import spaces
-import numpy as np
-import gradio as gr
-import gradio.exceptions
-import roop.globals
-from roop.core import (
-    start,
-    decode_execution_providers,
-)
-from roop.processors.frame.core import get_frame_processors_modules
-from roop.utilities import normalize_output_path
-import os
-from PIL import Image
-import uuid
-import onnxruntime as ort
-import cv2
-from roop.face_analyser import get_one_face
-
-@spaces.GPU
-def swap_face(source_file, target_file, doFaceEnhancer):
-    session_id = str(uuid.uuid4())  # Tạo một UUID duy nhất cho mỗi phiên làm việc
-    session_dir = f"temp/{session_id}"
-    os.makedirs(session_dir, exist_ok=True)
-
-    source_path = os.path.join(session_dir, "input.jpg")
-    target_path = os.path.join(session_dir, "target.jpg")
-
-    source_image = Image.fromarray(source_file)
-    source_image.save(source_path)
-    target_image = Image.fromarray(target_file)
-    target_image.save(target_path)
-
-    print("source_path: ", source_path)
-    print("target_path: ", target_path)
-
-    # Check if a face is detected in the source image
-    source_face = get_one_face(cv2.imread(source_path))
-    if source_face is None:
-        raise gradio.exceptions.Error("No face in source path detected.")
-
-    # Check if a face is detected in the target image
-    target_face = get_one_face(cv2.imread(target_path))
-    if target_face is None:
-        raise gradio.exceptions.Error("No face in target path detected.")
-
-    output_path = os.path.join(session_dir, "output.jpg")
-    normalized_output_path = normalize_output_path(source_path, target_path, output_path)
-
-    frame_processors = ["face_swapper", "face_enhancer"] if doFaceEnhancer else ["face_swapper"]
-
-
-    for frame_processor in get_frame_processors_modules(frame_processors):
-        if not frame_processor.pre_check():
-            print(f"Pre-check failed for {frame_processor}")
-            raise gradio.exceptions.Error(f"Pre-check failed for {frame_processor}")
-
-    roop.globals.source_path = source_path
-    roop.globals.target_path = target_path
-    roop.globals.output_path = normalized_output_path
-    roop.globals.frame_processors = frame_processors
-    roop.globals.headless = True
-    roop.globals.keep_fps = True
-    roop.globals.keep_audio = True
-    roop.globals.keep_frames = False
-    roop.globals.many_faces = False
-    roop.globals.video_encoder = "libx264"
-    roop.globals.video_quality = 18
-    roop.globals.execution_providers = ["CUDAExecutionProvider"]
-    roop.globals.reference_face_position = 0
-    roop.globals.similar_face_distance = 0.6
-    roop.globals.max_memory = 60
-    roop.globals.execution_threads = 50
-    
-    start()
-    return normalized_output_path
-
-app = gr.Interface(
-    fn=swap_face, 
-    inputs=[
-        gr.Image(), 
-        gr.Image(), 
-        gr.Checkbox(label="Face Enhancer?", info="Do face enhancement?")
-    ], 
-    outputs="image"
-)
+# -*- coding:UTF-8 -*-
+# !/usr/bin/env python
+import spaces
+import numpy as np
+import gradio as gr
+import gradio.exceptions
+import roop.globals
+from roop.core import (
+    start,
+    decode_execution_providers,
+)
+from roop.processors.frame.core import get_frame_processors_modules
+from roop.utilities import normalize_output_path
+import os
+from PIL import Image
+import uuid
+import onnxruntime as ort
+import cv2
+from roop.face_analyser import get_one_face
+
+@spaces.GPU()
+def swap_face(source_file, target_file, doFaceEnhancer):
+    session_id = str(uuid.uuid4())  # Tạo một UUID duy nhất cho mỗi phiên làm việc
+    session_dir = f"temp/{session_id}"
+    os.makedirs(session_dir, exist_ok=True)
+
+    source_path = os.path.join(session_dir, "input.jpg")
+    target_path = os.path.join(session_dir, "target.jpg")
+
+    source_image = Image.fromarray(source_file)
+    source_image.save(source_path)
+    target_image = Image.fromarray(target_file)
+    target_image.save(target_path)
+
+    print("source_path: ", source_path)
+    print("target_path: ", target_path)
+
+    # Check if a face is detected in the source image
+    source_face = get_one_face(cv2.imread(source_path))
+    if source_face is None:
+        raise gradio.exceptions.Error("No face in source path detected.")
+
+    # Check if a face is detected in the target image
+    target_face = get_one_face(cv2.imread(target_path))
+    if target_face is None:
+        raise gradio.exceptions.Error("No face in target path detected.")
+
+    output_path = os.path.join(session_dir, "output.jpg")
+    normalized_output_path = normalize_output_path(source_path, target_path, output_path)
+
+    frame_processors = ["face_swapper", "face_enhancer"] if doFaceEnhancer else ["face_swapper"]
+
+
+    for frame_processor in get_frame_processors_modules(frame_processors):
+        if not frame_processor.pre_check():
+            print(f"Pre-check failed for {frame_processor}")
+            raise gradio.exceptions.Error(f"Pre-check failed for {frame_processor}")
+
+    roop.globals.source_path = source_path
+    roop.globals.target_path = target_path
+    roop.globals.output_path = normalized_output_path
+    roop.globals.frame_processors = frame_processors
+    roop.globals.headless = True
+    roop.globals.keep_fps = True
+    roop.globals.keep_audio = True
+    roop.globals.keep_frames = False
+    roop.globals.many_faces = False
+    roop.globals.video_encoder = "libx264"
+    roop.globals.video_quality = 18
+    roop.globals.execution_providers = ["CUDAExecutionProvider"]
+    roop.globals.reference_face_position = 0
+    roop.globals.similar_face_distance = 0.6
+    roop.globals.max_memory = 60
+    roop.globals.execution_threads = 50
+    
+    start()
+    return normalized_output_path
+
+app = gr.Interface(
+    fn=swap_face, 
+    inputs=[
+        gr.Image(), 
+        gr.Image(), 
+        gr.Checkbox(label="Face Enhancer?", info="Do face enhancement?")
+    ], 
+    outputs="image"
+)
 app.launch()