Add model to predict dogs and cats

.gitattributes

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app.py

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+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-  return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def is_cat(x):
+    return x[0].isupper()
+
+
+learn = load_learner("model/model.pkl")
+
+categories = ("Dog", "Cat")
+
+
+def classify_image(img):
+    # The prediction returns the prediction as a string, the index of the prediction and the probability
+    prediction, idx, probability = learn.predict(img)
+
+    print(f"{prediction}, {idx}, {probability}")
+    return dict(zip(categories, map(float, probability)))
+
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ["images/dog.jpg", "images/cat.jpg", "images/dunno.jpg"]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model/model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:725707cc0a5538d38040c0a2b85820fc7bc7084281d0b948350987f634514e4e
+size 47061419