Update app.py

app.py

@@ -25,23 +25,23 @@ FACE_ANALYSER = insightface.app.FaceAnalysis(
     name="buffalo_l",
     root=".", providers=providers, allowed_modules=["landmark_3d_68", "landmark_2d_106", "detection", "recognition"]
 )
-FACE_ANALYSER.prepare(ctx_id=0 if cv2.cuda.getCudaEnabledDeviceCount() > 0 else -1, det_size=(768, 512))
+FACE_ANALYSER.prepare(ctx_id=0 if cv2.cuda.getCudaEnabledDeviceCount() > 0 else -1, det_size=(640, 640))
 
 # Function to update template choices based on gender
 def update_templates(gender):
     if gender == 'Male':
-        return gr.Dropdown(choices=['Boy Template 1.JPG', 'Boy Template 2.JPG', 'Boy Template 3.JPG'],interactive=True)
+        return gr.Dropdown.update(choices=['Boy Template 1.JPG', 'Boy Template 2.JPG', 'Boy Template 3.JPG'])
     elif gender == 'Female':
-        return gr.Dropdown(choices=['Girl Template 1.JPG', 'Girl Template 2.JPG', 'Girl Template 3.JPG'], interactive=True)
+        return gr.Dropdown.update(choices=['Girl Template 1.JPG', 'Girl Template 2.JPG', 'Girl Template 3.JPG'])
     else:
-        return gr.Dropdown(choices=[], interactive=True)
+        return gr.Dropdown.update(choices=[])
 
 # Main function for face swapping
 def face_swap_and_merge(src_image, gender, template_choice):
     # Resize the source image to 700x400 for uniform processing
     src_image = cv2.resize(src_image, (1181, 1772))
 
-    template_image_path = f'/AshanGimhana/Fanta_App{template_choice}'
+    template_image_path = f'/AshanGimhana/Fanta_App/{template_choice}'
     template_image = cv2.imread(template_image_path, cv2.IMREAD_UNCHANGED)
 
     # Resize the template image to 700x400 for uniform processing
@@ -86,3 +86,4 @@ with gr.Blocks(theme='upsatwal/mlsc_tiet') as iface:
     clear_all_button.click(fn=clear_all, inputs=[], outputs=[src_image, gender, template_choice, result_image])
     
     iface.launch(debug=True)
+