Added basic Gradio application

app.py

@@ -1,9 +1,19 @@
+from fastai.vision.all import *
 import gradio as gr
 
+def is_cat(x): return x[0].isupper()
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner("model.pkl")
 
+categories = ("Dog", "Cat")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = [f"{path}/dog.jpeg", f"{path}/cat.jpeg", f"{path}/dunno.jpeg"]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False, share=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:18daa192349559f18aa9190c0bb309164af9fd056a2a49727e6d879fac6c5d96
+size 47061483