add model

app.py

@@ -1,7 +1,36 @@
+# import gradio as gr
+
+# def greet(name):
+#     return "Hello " + name + "!!"
+
+# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+# demo.launch()
+
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ["learn", "categories", "image", "label", "examples", "intf", "classify_bike"]
+
+# %% app.ipynb 5
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% app.ipynb 9
+learn = load_learner("model.pkl")
+
+# %% app.ipynb 11
+categories = ["giant", "specialized", "trek"]
+
+
+def classify_bike(image):
+    pred, idx, probs = learn.predict(image)
+    return dict(zip(categories, map(float, probs)))
+
+
+# %% app.ipynb 13
+image = gr.Image(height=192, width=192, label="Bike Image")
+label = gr.Label(label="Predicted Bike Type")
+examples = ["trek.jpg", "specialized.jpg"]
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+intf = gr.Interface(fn=classify_bike, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:201a1e00727bf13a4bb17e353776d9920917d63679ec2eb43e55fba7971b0351
+size 46984062