Autogenerate Gradio interface for Toad Frog model prediction

app.py

@@ -3,8 +3,9 @@
 # %% 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 3
+from fastai.vision.all import *
+import gradio as gr
 
 # %% ../toad_frog_testing.ipynb 7
 toad_frog_model = load_learner("toadfrog.pkl")
@@ -19,7 +20,8 @@ def classify_image(img_path: str):
 # %% ../toad_frog_testing.ipynb 14
 image = gr.inputs.Image(shape=(192,192))
 label = gr.outputs.Label()
-examples = ["sample_toad.jpg", "sample_frog.jpg"]
+examples = ["testing/sample_toad.jpg", "testing/sample_frog.jpg"]
+
 
 gradio_interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 gradio_interface.launch(inline=False)