Update app.py

app.py

@@ -47,7 +47,7 @@ valid_tfms = tfms.A.Adapter(
 
 description1 = 'Tool for detecting 15 classes of surgical instruments:  Scalpel, Forceps, Suture needle, Clamps (Hemostat, Towel clip, Bulldog), Scissors (Mayo_metz, Iris, Potts), Needle holder (Castroviejo), Retractors (Army-navy, Richardson, Weitlaner), Suctions (Yankauer, Frazier).'
 
-description2 = 'Choose one of the examples below or use your own image of an instrument.  Click on the Submit button, allow for model prediction and see the bounding box and/or label result.'
+description2 = '\n \n Choose one of the examples below or use your own image of an instrument.  Click on the Submit button, allow for model prediction and see the bounding box and/or label result.'
 
 examples=[['Image00001.jpg'],['Image00002.jpg'],['Image00003.jpg'],['Image00004.jpg'],['Image00005.jpg']]
     
@@ -75,7 +75,7 @@ outputs = gr.outputs.Image(type="pil")
 
 gr_interface = gr.Interface(fn=show_preds_gradio, inputs=["image", display_chkbox_label, display_chkbox_box,  detection_threshold_slider],
                             outputs=outputs, title='Surgical Instrument Detection and Identification Tool',  # , article=article, 
-                            description = [description1, description2],
+                            description = [description1,description2],
                             examples=examples, 
                             enable_queue=True)  ##