Base version

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('./model.pkl')
+categories = ('Car in good condition','Damaged Car')
+
+def is_car(x) : return x[0].isupper()
+
+def image_classifier(img):
+    pred,index,probs = learn.predict(img) 
+    return dict(zip(categories, map(float,probs)))
+
+# image = gr.inputs.Image(shape=(192,192))
+image = gr.components.Image(shape=(192,192))
+label = gr.components.Label()
+examples = ['./car.jpeg','./crash.jpeg','./fcar.jpeg']
+
+intf = gr.Interface(fn= image_classifier,inputs=image,outputs=label,examples=examples)
+intf.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:127d7e8cece70f90ec760f411318aa019f6e2d08ae846717bb5c1cdddf6e9868
+size 46951577

requirements.txt

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+fastai
+torch==1.12.1