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import streamlit as st | |
st.set_page_config( | |
page_title="P&ID Object Detection ", | |
layout="wide", | |
initial_sidebar_state="expanded" | |
) | |
st.title('P&ID Object Detection App') | |
st.subheader(' Identify valves and pumps with deep learning model', divider='rainbow') | |
st.caption('Developed by Deep Drawings Co.') | |
st.write('##') | |
col1, col2, col3 = st.columns([10, 10, 10]) | |
with col2: | |
with st.expander('**Usage**'): | |
st.markdown( | |
''' | |
1) Upload your P&ID or Select Test Diagrams π¬ | |
2) Set Confidence Threshold π | |
3) Press to Perform Inference π | |
4) Visualize Model Predictions π | |
''' | |
) | |
st.write('##') | |
col1, col2, col3 = st.columns([10, 10, 10]) | |
with col1: | |
st.markdown(f"##### Upload your File:") | |
# set input image by upload | |
image_file = st.file_uploader("Upload your diagram:", type=["pdf"]) |