teaevo commited on
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6c23478
1 Parent(s): f5a1f04

Create app.py

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  1. app.py +20 -0
app.py ADDED
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+ import streamlit as st
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+ from transformers import pipeline
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+ from PIL import Image
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+
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+ pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
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+
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+ st.title("Hot Dog? Or Not?")
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+
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+ file_name = st.file_uploader("Upload a hot dog candidate image")
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+
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+ if file_name is not None:
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+ col1, col2 = st.columns(2)
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+
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+ image = Image.open(file_name)
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+ col1.image(image, use_column_width=True)
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+ predictions = pipeline(image)
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+
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+ col2.header("Probabilities")
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+ for p in predictions:
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+ col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")