complete app

app.py

@@ -1,7 +1,18 @@
+from fastai.vision.all import *
 import gradio as gr
 
-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('export.pkl')
+
+categories= ['Dog','Cat']
+
+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()
+
+Intf= gr.Interface(fn=classify_image, inputs=image, outputs=Label)
+Intf.launch(inline=False)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1353c3981f366f0883afe03b019e9609a76895fffb5abe4e473d8c3c0eec9e3f
+size 102974933