gradio

app.py

@@ -1,8 +1,30 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../sedan_suv_predict.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image',
+           'label', 'examples', 'intf', 'classify_image']
+
+# %% ../sedan_suv_predict.ipynb 1
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% ../sedan_suv_predict.ipynb 3
+learn = load_learner('sedan_suv.pkl')
+
+# %% ../sedan_suv_predict.ipynb 10
+categories = ('Sedan', 'SUV')
+
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# %% ../sedan_suv_predict.ipynb 12
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['sedan0.jpg', 'suv0.jpg']
 
+intf = gr.Interface(fn=classify_image, inputs=image,
+                    outputs=label, examples=examples)
+intf.launch(inline=False)

sedan_suv.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03b53170241d24fd08e01d76eb3825f4cf1def35a59b3aaf615940d40d0adfa7
+size 46960222