Implemented cat classifier

app.py

@@ -1,7 +1,20 @@
+from fastai.vision.all import *
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.Image(width=192, height=192)
+label = gr.Label()
+examples = ['dog.jpg', 'cat.png']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d326a1afe57ce382424a4b8e9db1c784ad2fece25bbcaee7a8e9cbdea6683caf
+size 47064702

requirements.txt

@@ -0,0 +1 @@
+fastai