Upload app.py

app.py

@@ -1,6 +1,26 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'labels', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% app.ipynb 1
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello" + name + "."
+# %% app.ipynb 3
+learn = load_learner('eh_native_plants.pkl')
+
+# %% app.ipynb 6
+labels = learn.dls.vocab
+
+def classify_image(img):
+    pred,pred_idx,probs = learn.predict(img)
+    return dict(zip(labels, map(float, probs)))
+
+# %% app.ipynb 8
+image = gr.Image(shape=(192,192))
+label = gr.Label()
+examples = ['ind_grass.jpg', 'reed.jpg']
 
-gr.Interface(fn=greet, inputs="text", outputs="text").launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, example=examples)
+intf.launch(inline=False)