,

.ipynb_checkpoints/app2-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+
+def is_cat(x): return x[0].isupper()
+
+
+learn = load_learner('model.pkl')
+categories = ('Dog', 'Cat')
+
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dic(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog.png', 'cat.png']
+
+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 sha256:38d2fa469893216bfb36304d7c13dbcd5a9f73ef137ac4b582aa1df704e263d9
+size 47059947