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# AUTOGENERATED! DO NOT EDIT! File to edit: Train_class.ipynb.
# %% auto 0
__all__ = ['model', 'cat', 'image', 'label', 'eg', 'classify_vehicle']
# %% Train_class.ipynb 1
from fastai.vision.all import *
import gradio as gr
# %% Train_class.ipynb 2
model = load_learner('train_model.pkl')
# %% Train_class.ipynb 3
cat = ('Bus','Train')
def classify_vehicle(img):
pred, idx, probs = model.predict(img)
return dict(zip(cat, map(lambda x: f"{float(x):.7f}", probs)))
# %% Train_class.ipynb 8
image = gr.Image()
label = gr.Label()
#eg = ['train.jpg','bike.jpg','bus.jpg','car.jpeg']
gr.Interface(
fn=classify_vehicle,
inputs=image,
outputs=label,
title="Vehicle Classifier",
description="This application classifies images of vehicles into two categories: Bus and Train. Upload an image of a vehicle, and the model will predict whether it is a Bus or a Train. The app will display the probabilities for each category."
).launch(inline=False)
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