Autogenerate Gradio interface for Toad Frog model prediction

app.py

@@ -1,7 +1,26 @@
-import gradio as gr
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../toad_frog_testing.ipynb.
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% auto 0
+__all__ = ['toad_frog_model', 'categories', 'image', 'label', 'examples', 'gradio_interface', 'classify_image']
+
+# %% ../toad_frog_testing.ipynb 2
+!pip install -Uqq fastai
+
+# %% ../toad_frog_testing.ipynb 7
+toad_frog_model = load_learner("toadfrog.pkl")
+
+# %% ../toad_frog_testing.ipynb 11
+categories = ('Frog', 'Toad')
+
+def classify_image(img_path: str):
+    prediction, index, probabilities = toad_frog_model.predict(img_path)
+    return dict(zip(categories, map(float, probabilities)))
+
+# %% ../toad_frog_testing.ipynb 14
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ["sample_toad.jpg", "sample_frog.jpg"]
+
+gradio_interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+gradio_interface.launch(inline=False)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()