v3 to v4.

app.py

@@ -2,7 +2,6 @@ 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')
     # get Feature Congestion clutter of a test map:
@@ -14,16 +13,16 @@ def inference(img):
 title = 'Visual Clutter'
 description = 'Compute two measures of visual clutter (Feature Congestion and Subband Entropy), see the code at https://github.com/kargaranamir/visual-clutter'
 article = "<p style='text-align: center'></p>"
-examples = [['test.jpg'],['test2.jpg']]
+examples = [['test.jpg'], ['test2.jpg']]
 css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
 
 gr.Interface(
     inference,
-    [gr.inputs.Image(type='file', label='Input')],
-    [gr.outputs.Image(type='file', label='Feature Congestion Output Image'), gr.outputs.Textbox(type="str", label="Feature Congestion"), gr.outputs.Textbox(type="str", label="Subband Entorpy")],
+    [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")],
     title=title,
     description=description,
     article=article,
     examples=examples,
     css=css,
-    ).launch(debug=True, enable_queue=True)
+).launch(debug=True, enable_queue=True)