v3 to v4.

app.py

@@ -2,8 +2,8 @@ import gradio as gr
 import torch
 from visual_clutter import Vlc
 
-def inference(img):
-    clt = Vlc(img.name, numlevels=3, contrast_filt_sigma=1, contrast_pool_sigma=3, color_pool_sigma=3, prefix='test')
+def inference(img_path):
+    clt = Vlc(img_path, numlevels=3, contrast_filt_sigma=1, contrast_pool_sigma=3, color_pool_sigma=3, prefix='test')
     # get Feature Congestion clutter of a test map:
     clutter_scalar_fc, clutter_map_fc = clt.getClutter_FC(p=1, pix=1)
     # get Subband Entropy clutter of the test map:
@@ -18,11 +18,11 @@ css = ".output_image, .input_image {height: 40rem !important; width: 100% !impor
 
 gr.Interface(
     inference,
-    [gr.Image(type='file', label='Input')],
-    [gr.Image(type='file', label='Feature Congestion Output Image'), gr.Textbox(label="Feature Congestion"), gr.Textbox(label="Subband Entropy")],
+    [gr.Image(type='file_path', label='Input')],
+    [gr.Image(type='file_path', label='Feature Congestion Output Image'), gr.Textbox(label="Feature Congestion"), gr.Textbox(label="Subband Entropy")],
     title=title,
     description=description,
     article=article,
     examples=examples,
     css=css,
-).launch(debug=True, enable_queue=True)
+).launch(debug=True)