add application file

.gitattributes

@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+/Users/amaity/learn/bike-classification/export.pkl filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,26 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% ../app.ipynb 4
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% ../app.ipynb 6
+learn = load_learner('export.pkl')
+
+# %% ../app.ipynb 8
+categories = ('BMX', 'mountain bike', 'road bike')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% ../app.ipynb 14
+image = gr.inputs.Image(shape=(512, 512))
+label = gr.outputs.Label()
+examples = ['road_bike.jpg', 'mountain_bike.jpg', 'BMX.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)