Update depthgltf/app_visualisations.py

depthgltf/app_visualisations.py

@@ -106,19 +106,19 @@ title = "Demo: zero-shot depth estimation with DPT + 3D Point Cloud"
 description = "This demo is a variation from the original <a href='https://huggingface.co/spaces/nielsr/dpt-depth-estimation' target='_blank'>DPT Demo</a>. It uses the DPT model to predict the depth of an image and then uses 3D Point Cloud to create a 3D object."
 #examples = [["examples/" + img] for img in os.listdir("examples/")]
 
-result_image_path = os.path.join(current_directory, '..', 'result.png')
-image_path = Path(result_image_path)
+# result_image_path = os.path.join(current_directory, '..', 'result.png')
+# image_path = Path(result_image_path)
 
 
 # Load the image
-rawimage = Image.open(image_path)
-image_r = gr.Image(value=rawimage, type="pil", label="Input Image")
+# rawimage = Image.open(image_path)
+# image_r = gr.Image(value=rawimage, type="pil", label="Input Image")
 #image_r.change(create_visual_demo, [],[])
  
 def create_visual_demo():
   iface = gr.Interface(fn=process_image,
     inputs=[gr.Image(
-        type="filepath", label="Input Image", value=image_path)],
+        type="filepath", label="Input Image")],
     outputs=[gr.Image(label="predicted depth", type="pil"),
               gr.Model3D(label="3d mesh reconstruction", clear_color=[
                                 1.0, 1.0, 1.0, 1.0]),