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Upload app.py
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app.py
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import streamlit as st
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import streamlit as st
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from fastai.vision.all import *
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st.set_page_config(
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page_title="IG PIC?",
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menu_items={
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'About': "# Help decide whether I can use this picture on Instagram or not using face attractiveness measure ;)"
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}
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)
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st.title('Can I use it as an Instagram Picture?')
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st.header('Upload your IG Picture')
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uploaded_file = st.file_uploader("Upload your image", type=["jpg","png","jpeg"], help = "Upload single jpg or png image")
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learner = load_learner("model_1.pkl")
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if uploaded_file is not None:
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image = PILImage.create(uploaded_file)
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col1, col2 = st.columns(2)
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col1.image(image)
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attractive,id, probs = learner.predict(image)
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id = int(id)
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probs = np.array(probs)
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if id == 0:
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col2.subheader('Instagram Picture')
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col2.metric(label="", value= int(probs[0] * 100), delta="+")
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else:
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col2.subheader('Not an Instagram Picture')
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col2.metric(label="", value=int(probs[1] * 100), delta="-")
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