Created app.

app.py

@@ -1,14 +1,28 @@
-import gradio as gr
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learner', 'categories', 'image', 'label', 'examples', 'interface', 'classify_image']
 
+# %% app.ipynb 2
+import gradio as gr
+from fastai.vision.all import *
 
-def main():
+# %% app.ipynb 5
+learner = load_learner('model/flood_classifier.pkl')
 
-    def greet(name):
-        return "Hello " + name + "!!"
+# %% app.ipynb 7
+categories = ('Not Flooded', 'Flooded')
 
-    iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-    iface.launch()
+def classify_image(image):
+    prediction, index, probabilities = learner.predict(image)
+    return dict(zip(categories, map(float, probabilities)))
 
+# %% app.ipynb 9
+image = gr.Image()
+label = gr.Label()
+examples = [str(image_path) for image_path in Path('images/example_images')
+.rglob('*.jpeg')]
 
-if __name__ == '__main__':
-    main()
+# %% app.ipynb 11
+interface = gr.Interface(fn=classify_image, inputs='image', outputs='label', examples=examples)
+interface.launch(inline=False)