Update app.py

app.py

@@ -6,8 +6,9 @@ import cv2
 # Load Hugging Face Gender Classifier model (ProjectPersonal/GenderClassifier)
 gender_classifier = pipeline("image-classification", model="ProjectPersonal/GenderClassifier")
 
-# Load Hugging Face face swap model (DeepFaceLab by senhan007)
-face_swap_model = pipeline("image-to-image", model="senhan007/DeepFaceLab")
+# Load a face-swapping model (First Order Motion Model for face swap)
+# Make sure this model is suitable for face-swapping tasks
+face_swap_model = pipeline("image-to-image", model="first-order-motion-model/first-order-motion-model")
 
 def detect_gender(image_path):
     # Use the gender classifier to detect gender from the image
@@ -41,8 +42,9 @@ def swap_faces(image, video, selected_gender):
             if not ret:
                 break
 
-            # Apply the face swap model (you need to insert the actual face swap model logic here)
-            swapped_frame = frame  # Placeholder, replace with actual model inference
+            # Apply the face swap model (this will apply the model's logic)
+            # Ensure you replace this with the actual face-swapping function
+            swapped_frame = face_swap_model(frame, reference_image=image_path)  # Example, replace with correct function
 
             output_video.write(swapped_frame)
 
@@ -68,4 +70,3 @@ iface = gr.Interface(
 )
 
 iface.launch()
-