Update app.py

app.py

@@ -6,7 +6,6 @@ import gradio as gr
 import PIL.Image
 import zipfile
 from genTag import genTag
-from cropImage import cropImage
 from checkIgnore import is_ignore
 from createTagDom import create_tag_dom
 
@@ -18,8 +17,7 @@ def predict(image: PIL.Image.Image):
     result_html = '<div>' + result_html + '</div>'
     result_filter = {key: value for key, value in result_threshold.items() if not is_ignore(key, 1)}
     result_text = '<div id="m5dd_result">' + ', '.join(result_filter.keys()) + '</div>'
-    crop_image = cropImage(image)
-    return result_html, result_text, crop_image
+    return result_html, result_text
 
 def predict_batch(zip_file, progress=gr.Progress()):
     result = ''
@@ -46,12 +44,6 @@ with gr.Blocks(css="style.css", js="script.js") as demo:
                                  image_mode="RGBA",
                                  sources=["upload", "clipboard"])
                 run_button = gr.Button('Run')
-                with gr.Accordion(label="Crop Image", open=False):
-                    crop_image = gr.Image(elem_classes='m5dd_image2',
-                                          format='jpg',
-                                          show_label=False,
-                                          show_share_button=False,
-                                          container=False)
                 result_text = gr.HTML(value="")
             with gr.Column(scale=2):
                 result_html = gr.HTML(value="")
@@ -71,7 +63,7 @@ with gr.Blocks(css="style.css", js="script.js") as demo:
     run_button.click(
         fn=predict,
         inputs=[image],
-        outputs=[result_html, result_text, crop_image],
+        outputs=[result_html, result_text],
         api_name='predict',
     )
     run_button2.click(