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import gradio as gr
from predict import predict_gradio
title = "Mohammad Ali Food101 Classification🍔"
description = "This demo is a related to classification of 101 different foods."
with open('gradio_results.md') as f:
article = f.read()
interface_options = {
"article": article,
"layout": "horizontal",
"theme": "default",
}
demo = gr.Interface(
predict_gradio,
inputs = gr.Image(type="pil"),
outputs = [gr.Label(num_top_classes = 5 , label = "All Predictions in 5 most value predicted classes"),
gr.Label(num_top_classes = 1 , label = "Model Predicts Image as a")],
examples=['examples/3243342.jpg', 'examples/1652678.jpg', 'examples/1046933.jpg', 'examples/1840999.jpg', 'examples/168855.jpg'],
title = title,
description = description,
**interface_options
)
demo.launch()
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