initial commit

app.py

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+# Cell
+from fastai.vision.all import *
+import gradio as gr
+
+# Cell
+learn = load_learner('/kaggle/input/kitchen-detector-model/model.pkl')
+
+# Cell
+categories = ('kitchen', 'not_kitchen')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# Cell
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['/kaggle/input/kitchen-data-set/kitchen-data-set/kitchen/209154559.jpeg', '/kaggle/input/kitchen-data-set/kitchen-data-set/not_kitchen/209154922.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9315d05a1c6fb6deb69852e21361e47cc6e52d8f65d9d368396d1d13540330d1
+size 46955929