added examples

app.py

@@ -1,16 +1,16 @@
-# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
 
 # %% auto 0
-__all__ = ['learn', 'labels', 'input_image', 'output_label', 'examples', 'title', 'description', 'classify_image']
+__all__ = ['learn', 'labels', 'input_image', 'output_label', 'examples', 'title', 'description', 'demo', 'classify_image']
 
-# %% app.ipynb 2
+# %% ../app.ipynb 2
 import gradio as gr
 from fastai.vision.all import *
 
-# %% app.ipynb 4
+# %% ../app.ipynb 4
 learn = load_learner("model.pkl")
 
-# %% app.ipynb 9
+# %% ../app.ipynb 10
 labels = learn.dls.vocab
 def classify_image(img):
     img = PILImage.create(img)
@@ -19,13 +19,13 @@ def classify_image(img):
 
 
 
-# %% app.ipynb 10
+# %% ../app.ipynb 11
 input_image = gr.Image()
 output_label = gr.Label()
-examples = ["futbol.jpeg", "basketbol.jpeg"]
+examples = ["beachball.jpg","futbol.jpeg", "basketbol.jpeg", "golf-ball.jpg", "tennisball.jpeg"]
 title = "Sports Ball Classifier"
 description = "A ball classifier Deep learning model demo"
 
-# %% app.ipynb 11
-demo = gr.Interface(fn=classify_image, inputs=input_image, outputs=output_label, description=description, title=title)
+# %% ../app.ipynb 12
+demo = gr.Interface(fn=classify_image, inputs=input_image, outputs=output_label, description=description, title=title, examples=examples)
 demo.launch(inline=False)