Update app.py

app.py

@@ -6,7 +6,7 @@ import numpy as np
 import gradio as gr
 
 # Load MiDaS model
-midas = torch.hub.load("intel-isl/MiDaS", "DPT_Large")
+midas = torch.hub.load("intel-isl/MiDaS", "DPT_Large", trust_repo=True)
 midas.eval()
 
 # Preprocessing function
@@ -78,10 +78,10 @@ def process_images(image_a, image_b, design_bbox):
     result = fit_and_warp_design(image_a, image_b, design_bbox)
     return result
 
-# Gradio UI components
-image_input_a = gr.inputs.Image(label="Upload Clothing Image", type="pil")
-image_input_b = gr.inputs.Image(label="Upload Design Image", type="pil")
-design_bbox_input = gr.inputs.Image(tool="select", label="Adjust Design Position and Size")
+# Gradio UI components using the updated syntax
+image_input_a = gr.Image(label="Upload Clothing Image", type="pil")
+image_input_b = gr.Image(label="Upload Design Image", type="pil")
+design_bbox_input = gr.Image(tool="select", label="Adjust Design Position and Size")
 
 # Define the Gradio interface
 iface = gr.Interface(