Upload app.py

app.py

@@ -1,7 +1,16 @@
+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 greet(name):
-    return "Hello " + name + "!!"
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpg','dunno.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs = image, outputs=label, examples = examples)
+intf.launch(inline=False)