V1.1

app.py

@@ -26,9 +26,6 @@ import gradio as gr
 from PIL import Image
 from torchvision import transforms
 
-DEFAULT_DAMAGE_MODEL_PATH = "./model_final.pth"  # Replace with your actual path
-DEFAULT_DEEPFAKE_MODEL_PATH = "./PoseEfficientNet_custom_laanet_model_final.pth"  # Replace with your actual path  
-DEFAULT_DEEPFAKE_CFG_PATH = "./configs/detector2.yaml"  # Replace with your actual path
 
 
 # Add current directory to path
@@ -510,7 +507,11 @@ def process_image(input_image, damage_model_path, deepfake_model_path, deepfake_
     return result_img, "\n".join(progress_info)
 
 
-    def create_gradio_interface():
+DEFAULT_DAMAGE_MODEL_PATH = "./model_final.pth"  # Replace with your actual path
+DEFAULT_DEEPFAKE_MODEL_PATH = "./PoseEfficientNet_custom_laanet_model_final.pth"  # Replace with your actual path  
+DEFAULT_DEEPFAKE_CFG_PATH = "./configs/detector2.yaml"  # Replace with your actual path
+
+def create_gradio_interface():
     with gr.Blocks(title="Car Damage & Deepfake Detection") as app:
         gr.Markdown("# Car Damage Detection & Deepfake Verification")
         gr.Markdown("Upload an image to detect car damage and check if it's a deepfake")