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import streamlit as st |
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import pandas as pd |
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data_df = pd.DataFrame( |
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{ |
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"apps": [ |
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"https://d1afc1j4569hs1.cloudfront.net/Autobahn.jpeg", |
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], |
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} |
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) |
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st.set_page_config( |
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page_title="P&ID Object Detection ", |
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layout="wide", |
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initial_sidebar_state="expanded" |
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) |
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st.title('P&ID Object Detection App') |
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st.subheader(' Identify valves and pumps with deep learning model', divider='rainbow') |
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st.caption('Developed by Deep Drawings Co.') |
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col1, col2, col3 = st.columns([10, 10, 10]) |
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with col2: |
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with st.expander('How to use it'): |
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st.markdown( |
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''' |
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1) Upload your P&ID or Select Test Diagrams 📬 |
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2) Set Confidence Threshold 📈 |
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3) Press to Perform Inference 🚀 |
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4) Visualize Model Predictions 🔎 |
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''' |
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) |
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st.data_editor( |
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data_df, |
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column_config={ |
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"apps": st.column_config.ImageColumn( |
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"Preview Image", help="Streamlit app preview screenshots" |
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) |
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}, |
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hide_index=True, |
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) |
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st.write('##') |
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col1, col2, col3 = st.columns([10, 10, 10]) |
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with col1: |
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st.markdown(f"##### Upload your File:") |
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image_file = st.file_uploader("Upload your diagram:", type=["pdf"]) |
