Update space

app.py

@@ -5,7 +5,6 @@ import os
 from PIL import Image
 import spaces
 import torch
-from gradio_imageslider import ImageSlider
 
 css = """
 #img-display-container {
@@ -38,7 +37,7 @@ with gr.Blocks(css=css) as demo:
     with gr.Row():
         left_image = gr.Image(label="Left Image", type='numpy', elem_id='img-display-input')
         right_image = gr.Image(label="Right Image", type='numpy', elem_id='img-display-input')
-        depth_image_slider = ImageSlider(label="Depth Map with Slider View", elem_id='img-display-output', position=0.5,)
+        depth_image = gr.Image(label="Depth Image", type='numpy', elem_id='img-display-input')
     # raw_file = gr.File(label="16-bit raw depth (can be considered as disparity)")
     submit = gr.Button("Submit")
 
@@ -50,20 +49,21 @@ with gr.Blocks(css=css) as demo:
         sample['left'] = sample['left'].unsqueeze(0)
         sample['right'] = sample['right'].unsqueeze(0)
 
-        model.eval()
+        # model.eval()
         for k, v in sample.items():
             sample[k] = v.to(0) if torch.is_tensor(v) else v
 
-        model_pred = model(sample)
+        # model_pred = model(sample)
+        model_pred = None
 
         return [model_pred]
 
-    submit.click(on_submit, inputs=[left_image,right_image], outputs=[depth_image_slider])
+    submit.click(on_submit, inputs=[left_image,right_image], outputs=[depth_image])
 
     example_files = os.listdir('examples')
     example_files.sort()
     example_files = [os.path.join('examples', filename) for filename in example_files]
-    examples = gr.Examples(examples=example_files, inputs=[left_image,right_image], outputs=[depth_image_slider], fn=on_submit, cache_examples=True)
+    examples = gr.Examples(examples=example_files, inputs=[left_image,right_image], outputs=[depth_image], fn=on_submit, cache_examples=True)
 
 
 if __name__ == '__main__':