Upload app.py

app.py

@@ -1,14 +1,15 @@
-import gradio as gr
+
 
 __all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
 
 # Cell
 from fastai.vision.all import *
+import gradio as gr
 
 def is_cat(x): return x[0].isupper()
 
 # Cell
-learn = load_learner('\Users\Pravin Vijay\Downloads\model.pkl')
+learn = load_learner('model.pkl')
 
 # Cell
 categories = ('Dog', 'Cat')
@@ -20,7 +21,7 @@ def classify_image(img):
 # Cell
 image = gr.inputs.Image(shape=(192,192))
 label = gr.outputs.Label()
-examples = ['\Users\Pravin Vijay\Downloads\dog.jpg','\Users\Pravin Vijay\Downloads\cat.jpg','\Users\Pravin Vijay\Downloads\dunno.jpg']
+examples = ['dog.jpg','cat.jpg','dunno.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False)