Update app.py

app.py

@@ -1,6 +1,6 @@
-# from huggingface_hub import from_pretrained_fastai
+from huggingface_hub import from_pretrained_fastai
 import gradio as gr
-# from fastai.vision.all import *
+from fastai.vision.all import *
 from icevision.all import *
 
 # repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
@@ -33,7 +33,7 @@ detection_threshold_slider = gr.inputs.Slider(minimum=0, maximum=1, step=0.1, de
 outputs = gr.outputs.Image(type="pil")
 
 # Option 1: Get an image from local drive
-gr_interface = gr.Interface(fn=show_preds, inputs=["image", display_chkbox_label, display_chkbox_box,  detection_threshold_slider], outputs=outputs,examples=['raccoon1.jpg','raccoon2.jpg'])
+gr_interface = gr.Interface(fn=show_preds, inputs=["image", display_chkbox_label, display_chkbox_box,  detection_threshold_slider], outputs=outputs, examples=['raccoon1.jpg','raccoon2.jpg'])
 
 # #  Option 2: Grab an image from a webcam
 # gr_interface = gr.Interface(fn=show_preds, inputs=["webcam", display_chkbox_label, display_chkbox_box,  detection_threshold_slider], outputs=outputs, title='IceApp - COCO', live=False)