pages/3_Life cycle of ML.py

import streamlit as st
from PIL import Image

def main():
    st.set_page_config(page_title="ML Lifecycle", layout="wide")

    st.title("🚀 Machine Learning Lifecycle")

    steps = [
        {"title": "1. Problem Definition", "description": "Objective of the project.", "icon": "🔍"},
        {"title": "2. Data Collection", "description": "Data is collected from various sources like APIs, databases, or web scraping atlast we've to go with manual collection.", "icon": "📊"},
        {"title": "3. Simple EDA", "description": "Describing the quality of the data.", "icon": "🧹"},
        {"title": "4. Data Pre-processing", "description": "It is a technique by which we can convert raw data into pre-procesed data --->1.Clean the data  2.Transform the data.", "icon": "📈"},
        {"title": "5. EDA", "description": "Transforming insights into a clean dataset and providing proper visualizations.", "icon": "🛠️"},
        {"title": "6. Feature Engineering", "description": "Creating and analyzing features and labels.", "icon": "🤖"},
        {"title": "7. Model Training", "description": "Training the machine about relationships between features and labels.", "icon": "🎯"},
        {"title": "8. Model Testing", "description": "Testing how efficiently the machine learned.", "icon": "📋"},
        {"title": "9. Deployment", "description": "Deploying the machine to the client and ensuring maintenance for accurate results", "icon": "🌐"},
        {"title": "10. Monitoring & Maintenance", "description": "Monitor the model and update as needed.", "icon": "📡"}
    ]

    st.sidebar.title("Navigate the Lifecycle")
    selected_step = st.sidebar.radio("Steps", [step['title'] for step in steps])

    for step in steps:
        if step['title'] == selected_step:
            st.subheader(f"{step['icon']} {step['title']}")
            st.markdown(step['description'])

    st.markdown("Steps")
    cols = st.columns(10)

    for idx, step in enumerate(steps):
        with cols[idx]:
            st.markdown(f"{step['icon']} **{step['title']}**")

if __name__ == "__main__":
    main()