Create app.py

app.py

@@ -0,0 +1,18 @@
+from fastai.vsion.all import *
+import gradio as gr 
+
+def is_cat(x):return x[0].isupper()
+
+learn = load_learner('model.pkl')
+
+categorieries = ('Dog','Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categorieries,map(float,probs)))
+
+image = gr.inputs.Image(shape = (192,192))
+label = gr.outputs.Label()
+
+intf = gr.Interface(fn = classify_image,inputs=image,outputs=label)
+intf.launch(inline = False)