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):
+def inference(img, progress=gr.Progress(track_tqdm=True)):
     global index
     bgra = cv2.cvtColor(img, cv2.COLOR_RGBA2BGRA)
     inputpath = f"input_{index}.jpg"
@@ -172,7 +172,7 @@ function uploadImage(image, event, source, value) {
     window.cur_process_step = "";
     console.log("uploadImage", image ? image.url : null, event, source, value);
     // Get the first image from the gallery (assuming it's an array)
-    let imageUrl = images && images.length > 0 ? images[0].image.url : null;
+    let imageUrl = image ? image.url : null;
     if (window.self !== window.top) {
         // Post the message to the parent window
         // Prepare the data to send
@@ -204,8 +204,7 @@ function onDemoLoad(){
             element.parentNode.removeChild(element);
         }
     }
-    return;
-    //return envInfo["__domain"], envInfo["__iframe_domain"]
+    return "";
 }
 </script>
 '''
@@ -224,9 +223,9 @@ with gr.Blocks(css=css, head=js) as demo:
     with gr.Row(equal_height=False):
       with gr.Column(min_width=240):  # Adjust scale for proper sizing
           gr.HTML(value=desc_html, elem_id='pitch_desc_html_code')
-          image_input = gr.Image(type="numpy", label="Upload Image", height=height)
+          image_input = gr.Image(type="numpy", label="", height=height)
           gr.Examples(examples=examples, inputs=image_input, examples_per_page=10, elem_id="example_img")
-          process_button = gr.Button("Go!")#,size="sm"
+          process_button = gr.Button("Nude!",size="sm")