Delete run.py

run.py

@@ -1,52 +0,0 @@
-import os
-from moviepy.editor import VideoFileClip
-import insightface
-import cv2
-import numpy as np
-
-# Load the InsightFace model
-model = insightface.app.FaceAnalysis(name="buffalo_l", providers=["CPUExecutionProvider"])
-model.prepare(ctx_id=0)
-
-def swap_face(source_path, target_path, output_path):
-    source_img = cv2.imread(source_path)
-    source_faces = model.get(source_img)
-    if len(source_faces) == 0:
-        raise Exception("No face found in source.")
-    source_face = source_faces[0]
-    source_crop = source_img[
-        int(source_face.bbox[1]):int(source_face.bbox[3]),
-        int(source_face.bbox[0]):int(source_face.bbox[2])
-    ]
-
-    if target_path.endswith(".jpg"):
-        target_img = cv2.imread(target_path)
-        target_faces = model.get(target_img)
-        if len(target_faces) == 0:
-            raise Exception("No face found in target image.")
-        target_face = target_faces[0]
-        x1, y1, x2, y2 = map(int, target_face.bbox)
-        resized_crop = cv2.resize(source_crop, (x2 - x1, y2 - y1))
-        target_img[y1:y2, x1:x2] = resized_crop
-        cv2.imwrite(output_path, target_img)
-
-    else:
-        clip = VideoFileClip(target_path)
-
-        def process_frame(frame):
-            frame_bgr = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
-            faces = model.get(frame_bgr)
-            if len(faces) > 0:
-                face = faces[0]
-                x1, y1, x2, y2 = map(int, face.bbox)
-                resized_crop = cv2.resize(source_crop, (x2 - x1, y2 - y1))
-                frame_bgr[y1:y2, x1:x2] = resized_crop
-            return cv2.cvtColor(frame_bgr, cv2.COLOR_BGR2RGB)
-
-        new_clip = clip.fl_image(process_frame)
-        new_clip.write_videofile(output_path, audio=True)
-
-def run_faceswap(source_path, target_path):
-    output_path = "result.jpg" if target_path.endswith(".jpg") else "result.mp4"
-    swap_face(source_path, target_path, output_path)
-    return output_path