deploy model

app.py

@@ -1,7 +1,18 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+learn = load_learner('model.pkl')
+
+categories = ('damaged', 'intact')
+
+def classify_image(img):
+  pred,idx,probs = learn.predict(img)
+  return dict(zip(categories, map(float,probs)))
+
+image = gr.Image(width=192, height=192)
+label = gr.Label()
+examples = ['por.jpeg', 'dam.jpeg', 'damm.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3663fab3897081c48524c668db13f5365fd63ad6a50e25f57196ac8351169c22
+size 46990279