edits

app.py

@@ -249,6 +249,8 @@ def generate_matching_superfeatures(
     # bbox  = legend.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
     
 
+    im1 = None
+    im2 = None
     return fig1, fig2, fig_leg
     # ','.join(map(str, sf_idx_))
 
@@ -261,10 +263,10 @@ article = "<p style='text-align: center'><a href='https://github.com/naver/fire'
 iface = gr.Interface(
     fn=generate_matching_superfeatures,
     inputs=[
-#        gr.inputs.Image(shape=(1024, 1024), type="pil", label="First Image"),
-#        gr.inputs.Image(shape=(1024, 1024), type="pil", label="Second Image"),
-        gr.inputs.Image(type="pil", label="First Image"),
-        gr.inputs.Image(type="pil", label="Second Image"),
+       gr.inputs.Image(shape=(1024, 1024), type="pil", label="First Image"),
+       gr.inputs.Image(shape=(1024, 1024), type="pil", label="Second Image"),
+        # gr.inputs.Image(type="pil", label="First Image"),
+        # gr.inputs.Image(type="pil", label="Second Image"),
         gr.inputs.Checkbox(default=False, label="Model trained on ImageNet (Default: SfM-120k)"),
         gr.inputs.Slider(minimum=0, maximum=6, step=1, default=4, label="Scale"),
         gr.inputs.Slider(minimum=0, maximum=255, step=25, default=50, label="Binarization Threshold"),