deploy teddy model

app.py

@@ -1,7 +1,16 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn_inf = load_learner('export.pkl')
+learn_inf.predict('images/grizzly.jpg')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_image(img):
+    pred,idx,probs = learn_inf.predict(img)
+    return dict(zip(learn_inf.dls.vocab, map(float,probs)))
+
+image = gr.Image(shape=(192,192))
+label = gr.Label()
+examples = ['images/grizzly.jpg','images/black.jpg','images/teddy.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)