'xd'

app.py

@@ -13,10 +13,10 @@ categories = ( 'black bear','grizzly bear'  , 'teady bear')
 image = gr.inputs.Image(shape=(194,194))
 label = gr.outputs.Label()
 examples = [
-    'train_data2/teady bear/f8d8000c-1eae-43dc-a06b-58e9e242effd.jpg' , 
-    'train_data2/grizzly bear/1d5e3d53-a4a9-4f19-b1cb-1bed0f95ed66.jpg',
-    'train_data2/black bear/6ea1843c-f6d4-497d-a861-d66ae6b36290.jpg'
+    'teady_bear.jpg' , 
+    'grizzly_bear.jpg' ,
+    'black_bear.jpg'
 ]
 
 intf = gr.Interface(fn = classify_img , inputs = image , outputs = label , examples = examples)
-intf.launch(share = True)
+intf.launch(inline = False)

requirements.txt

@@ -1,5 +1,2 @@
-fastai
-torch
-gradio
-numpy
-pandas
+fastai==2.7.7
+scikit-image