Update app.py

app.py

@@ -291,7 +291,7 @@ def create_dataframe(cells_pytess_result:list, max_cols:int, max_rows:int,csv_pa
 
     return df
 
-def process_image(image, TD_THRESHOLD, TSR_THRESHOLD, padd_top, padd_left, padd_bottom, padd_right, delta_xmin = 0, delta_ymin = 0, delta_xmax = 0, delta_ymax = 0, expand_rowcol_bbox_top = 0, expand_rowcol_bbox_bottom = 0):
+def process_image(image, TD_THRESHOLD, TSR_THRESHOLD, padd_top, padd_left, padd_bottom, padd_right, delta_xmin, delta_ymin, delta_xmax, delta_ymax, expand_rowcol_bbox_top, expand_rowcol_bbox_bottom):
   image = image.convert('RGB')
   model, probas, bboxes_scaled = table_detector(image, THRESHOLD_PROBA=TD_THRESHOLD)
   # plot_results_detection(model, image, probas, bboxes_scaled,  delta_xmin, delta_ymin, delta_xmax, delta_ymax) 
@@ -323,10 +323,10 @@ article = "<p style='text-align: center'></p>"
 examples =[["image_0.png"]]
 
 iface = gr.Interface(fn=process_image, 
-                     inputs=[gr.Image(type="pil"), gr.Slider(0, 1, value=0.9), gr.Slider(0, 1, value=0.8), gr.Slider(0, 200, value=100), gr.Slider(0, 200, value=100), gr.Slider(0, 200, value=100), gr.Slider(0, 200, value=100), gr.Number(0), gr.Number(0), gr.Number(0), gr.Number(0),gr.Number(0),gr.Number(0)],
+                     inputs=[gr.Image(type="pil"), gr.Slider(0, 1, value=0.9), gr.Slider(0, 1, value=0.8), gr.Slider(0, 200, value=100), gr.Slider(0, 200, value=100), gr.Slider(0, 200, value=100), gr.Slider(0, 200, value=100), gr.Number(0), gr.Number(0), gr.Number(0), gr.Number(0),gr.Number(0),gr.Number(0)], 
                      outputs="text",
                      title=title,
                      description=description,
                      article=article,
                      examples=examples)
-iface.launch(debug=True)
+iface.launch(debug=True)