Update app_recon.py

app_recon.py

@@ -111,7 +111,7 @@ def sam_segment(predictor, input_image, *bbox_coords):
     return Image.fromarray(out_image_bbox, mode='RGBA'), masks_bbox
 
 @spaces.GPU
-def depth_normal(img_path,
+def depth_normal(img,
                 denoising_steps,
                 ensemble_size,
                 processing_res,
@@ -122,7 +122,7 @@ def depth_normal(img_path,
     if seed >= 0:
         torch.manual_seed(seed)
 
-    img = Image.open(img_path)
+    # img = Image.open(img_path)
 
     pipe_out = pipe(
         img,
@@ -157,7 +157,7 @@ def reconstruction(image, files):
 
     torch.cuda.empty_cache()
 
-    img = Image.open(image)
+    # img = Image.open(image)
 
     image_rem = img.convert('RGBA')
     image_nobg = remove(image_rem, alpha_matting=True)
@@ -275,7 +275,7 @@ def run_demo():
             )
 
         with gr.Row():
-            recon_btn = gr.Button('Is there a salient foreground object? If yes, Click here to Reconstruct its 3D model.', variant='primary', interactive=True)
+            recon_btn = gr.Button('(Beta) Is there a salient foreground object? If yes, Click here to Reconstruct its 3D model.', variant='primary', interactive=True)
 
         with gr.Row():
             with gr.Column():