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import streamlit as st |
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import pandas as pd |
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import numpy as np |
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st.set_page_config(page_title="Maintenance Prediction & Scheduling", layout="wide") |
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st.sidebar.title("Navigation") |
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view_option = st.sidebar.radio("Choose View:", ["Home", "Upload Data", "Maintenance Schedule", "Equipment Insights"]) |
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st.sidebar.title("Upload Data") |
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data_upload = st.sidebar.file_uploader("Upload Equipment Data (CSV):", type=["csv"]) |
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st.title("Maintenance Prediction & Scheduling App") |
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st.markdown( |
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"This app predicts maintenance needs and schedules activities to minimize downtime for construction equipment like HVAC, elevators, and generators." |
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) |
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def process_uploaded_data(uploaded_file): |
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try: |
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data = pd.read_csv(uploaded_file) |
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st.success("Data uploaded successfully!") |
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st.dataframe(data) |
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return data |
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except Exception as e: |
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st.error(f"Error processing the uploaded file: {e}") |
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return None |
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uploaded_data = None |
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if view_option == "Home": |
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st.image("https://via.placeholder.com/800x400.png?text=Maintenance+Scheduling+App", caption="Welcome Screen") |
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st.markdown( |
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""" |
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### Key Features: |
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- Upload site data for analysis. |
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- Predict maintenance needs based on historical data. |
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- Schedule maintenance tasks and download the schedule. |
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""" |
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) |
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elif view_option == "Upload Data": |
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st.subheader("Upload Equipment Data") |
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if data_upload: |
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uploaded_data = process_uploaded_data(data_upload) |
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elif view_option == "Maintenance Schedule": |
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st.subheader("Maintenance Schedule") |
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if data_upload and uploaded_data is not None: |
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st.write("Generating maintenance schedule...") |
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uploaded_data["Maintenance_Due"] = np.where(uploaded_data["Condition_Score"] < 75, "Yes", "No") |
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st.dataframe(uploaded_data[["Equipment_ID", "Equipment_Type", "Maintenance_Due"]]) |
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st.download_button( |
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label="Download Schedule as CSV", |
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data=uploaded_data.to_csv(index=False).encode('utf-8'), |
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file_name="maintenance_schedule.csv", |
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mime="text/csv", |
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) |
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else: |
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st.info("Please upload data in the 'Upload Data' section.") |
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elif view_option == "Equipment Insights": |
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st.subheader("Equipment Insights") |
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if data_upload and uploaded_data is not None: |
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st.write("Analyzing equipment performance...") |
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st.bar_chart(uploaded_data[["Usage_Hours", "Condition_Score"]].set_index(uploaded_data["Equipment_Type"])) |
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else: |
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st.info("Please upload data in the 'Upload Data' section.") |
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st.markdown("---") |
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st.markdown("Developed by [Your Name] - Enhancing Maintenance Planning with AI") |
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