Update app.py

app.py

@@ -26,7 +26,7 @@ def deep_nude_process(inputpath):
     watermark = cv2.resize(watermark, (w, h), interpolation=cv2.INTER_CUBIC)
     return watermark
 
-def inference(img, progress=gr.Progress(track_tqdm=True)):
+def inference(img):
     global index
     bgra = cv2.cvtColor(img, cv2.COLOR_RGBA2BGRA)
     inputpath = f"input_{index}.jpg"
@@ -234,7 +234,7 @@ with gr.Blocks(css=css, head=js) as demo:
         processed_img = inference(img)
         return processed_img
         
-    image_input.change(fn=lambda x:x , inputs=[image_input], outputs=[], js='''(img)=>window.uploadImage(img,"process_finished","demo_hf_deepnude_gan_card", "")''')
+    image_input.change(fn=lambda :None , inputs=[image_input], outputs=[gr.State([])], js='''(img)=>window.uploadImage(img,"process_finished","demo_hf_deepnude_gan_card", "")''')
     process_button.click(update_status, inputs=image_input, outputs=image_input, js='''(i) => window.postMessageToParent(i, "process_started", "demo_hf_deepnude_gan_card", "click_nude")''')
     demo.load(fn=lambda:None, inputs=[], outputs=[gr.State([])], js='''()=>onDemoLoad()''')
 demo.queue(max_size=10)