initial commit

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: car_damaged_or_not.ipynb.
+
+# %% auto 0
+__all__ = ['title', 'description', 'examples', 'learn', 'catogories', 'intf', 'predict']
+
+# %% car_damaged_or_not.ipynb 1
+# imports
+# import os
+# import timm
+# import json
+# import torch
+import gradio as gr
+# import pickle as pk
+# from PIL import Image
+
+import fastbook
+fastbook.setup_book()
+
+from fastbook import *
+from fastai.vision.widgets import *
+
+# %% car_damaged_or_not.ipynb 17
+title = "Car Damage Identifier"
+description = "A car damage classifier trained on images scraped from the web."
+examples = ['lambo.jpg', 'damage.jpg']
+
+learn = load_learner('damage_classifier.pkl')
+
+# %% car_damaged_or_not.ipynb 18
+catogories = ('Damaged','Not Damaged')
+def predict(img):
+    img = PILImage.create(img)
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(catogories, map(float, probs)))
+
+# %% car_damaged_or_not.ipynb 19
+intf = gr.Interface(fn=predict,inputs=gr.Image(),outputs=gr.Label(num_top_classes=2),title=title,description=description,examples=examples)
+intf.launch(share=True)

damage_classifier.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a17db04ba7ca207465bde84b4d1f9b5b5bff1f43a9b5354a5bd65ab4eb516bd8
+size 61165362

requirements.txt

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+fastai