Updated app.py

app.py

@@ -1,17 +1,17 @@
 from read_whole_sliding_images import *
 from stain_normalization import *
 import gradio as gr
-wsi2png = gr.Interface(fn=wsi2png, inputs=gr.inputs.File(), outputs=gr.outputs.Image(type='numpy'),
+wsi2png = gr.Interface(fn=wsi2png, inputs=gr.File(), outputs=gr.Image(type='numpy'),
                        examples=wsi2png_examples)
-bound_png = gr.Interface(fn=read_bounds_of_image, inputs=gr.inputs.Image(type='numpy'),
-                         outputs=gr.outputs.Image(type='numpy'), examples=read_bounds_examples)
+bound_png = gr.Interface(fn=read_bounds_of_image, inputs=gr.Image(type='numpy'),
+                         outputs=gr.Image(type='numpy'), examples=read_bounds_examples)
 
 
 inp1 = gr.inputs.File()
 inp2 = gr.Slider(1, 10, 4, step=0.25, label="Resolution")
-mask_wsi = gr.Interface(fn=mask_image, inputs=[inp1, inp2], outputs=gr.outputs.Image(type='numpy'), examples=[mask_wsi_examples])
+mask_wsi = gr.Interface(fn=mask_image, inputs=[inp1, inp2], outputs=gr.Image(type='numpy'), examples=[mask_wsi_examples])
 
-normalize_wsi = gr.Interface(fn=normalize_stain, inputs=gr.inputs.File(), outputs=gr.outputs.Image(type='numpy'),
+normalize_wsi = gr.Interface(fn=normalize_stain, inputs=gr.File(), outputs=gr.Image(type='numpy'),
                                examples=[stain_normalization_wsi_examples])