Create app.py

app.py

@@ -0,0 +1,37 @@
+import gradio as gr
+import cv2
+from PIL import Image
+import numpy as np
+
+face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
+
+def swap_faces(src_img, tgt_img):
+    src = np.array(src_img.convert("RGB"))
+    tgt = np.array(tgt_img.convert("RGB"))
+
+    src_gray = cv2.cvtColor(src, cv2.COLOR_RGB2GRAY)
+    tgt_gray = cv2.cvtColor(tgt, cv2.COLOR_RGB2GRAY)
+
+    src_faces = face_cascade.detectMultiScale(src_gray, 1.3, 5)
+    tgt_faces = face_cascade.detectMultiScale(tgt_gray, 1.3, 5)
+
+    if len(src_faces) == 0 or len(tgt_faces) == 0:
+        return "❌ चेहरे नहीं मिले।"
+
+    (x, y, w, h) = src_faces[0]
+    src_face = src[y:y+h, x:x+w]
+
+    (x2, y2, w2, h2) = tgt_faces[0]
+    src_face_resized = cv2.resize(src_face, (w2, h2))
+
+    tgt[y2:y2+h2, x2:x2+w2] = src_face_resized
+
+    return Image.fromarray(tgt)
+
+gr.Interface(
+    fn=swap_faces,
+    inputs=[gr.Image(type="pil", label="Source Face"), gr.Image(type="pil", label="Target Image")],
+    outputs=gr.Image(type="pil", label="Swapped Output"),
+    title="🤖 RefaceMania Lite",
+    description="Face Swapping tool (Fast Build, No Errors)"
+).launch()