Upload app.py

app.py

@@ -1,7 +1,29 @@
-import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch(share=True)
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'iface', 'classify_image']
+
+# %% app.ipynb 1
+import gradio as gr
+from fastai.vision.all import *
+from fastai.data.all import *
+
+# %% app.ipynb 2
+learn = load_learner('model.pkl')
+
+# %% app.ipynb 3
+categories = ('Badminton', 'Cricket', 'Karate', 'Soccer', 'Swimming', 'Tennis', 'Wrestling')
+
+# %% app.ipynb 4
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% app.ipynb 5
+image = gr.inputs.Image(shape(224, 224))
+label = gr.outputs.Label()
+examples = ['Badminton.jpg', 'Cricket.jpg', 'Karate.jpg', 'Soccer.jpg', 'Swimming.jpg', 'Tennis.jpg', 'Wrestling.jpg']
+
+# %% app.ipynb 6
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)