here we go

app.py

@@ -1,8 +1,19 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner("dog_detect.pkl")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_image(img):
+	pred,idx,probs = learn.predict(img)
+	return dict(zip(learn.dls.vocab, map(float,probs)))
+
+#im = PILImage.create("1.jpg")
+#print (classify_image(im))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['golden.jpg', 'lab.jpg', 'corgi.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)