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machineLearning
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import streamlit as st
from streamlit_lottie import st_lottie
import requests

# Function to load Lottie animation from a URL
def load_lottieurl(url: str):
    """Fetch Lottie animation JSON from a URL."""
    try:
        response = requests.get(url)
        if response.status_code == 200:
            return response.json()
    except requests.exceptions.RequestException:
        return None

# CSS Styling for light and dark modes
st.markdown("""
    <style>
    body {
        margin: 0;
        padding: 0;
        font-family: 'Roboto', sans-serif;
        background-color: var(--background-color, #f8f9fa);
        color: var(--text-color, #212529);
    }
    h1 {
        font-size: 3rem;
        color: var(--primary-color, #007acc);
        text-align: center;
        margin-bottom: 15px;
    }
    h2, h3 {
        font-size: 1.5rem;
        color: var(--secondary-color, #005b96);
        text-align: center;
        margin-top: 20px;
    }
    p {
        font-family: 'Georgia', serif;
        color: var(--text-color, #212529);
        line-height: 1.6;
        text-align: justify;
    }
    .about-author {
        background-color: var(--card-bg, #ffffff);
        border-radius: 10px;
        padding: 25px;
        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
        margin: 20px auto;
        max-width: 700px;
        text-align: center;
        color: var(--text-color, #212529);
    }
    .social-icons {
        display: flex;
        justify-content: center;
        gap: 20px;
        margin-top: 15px;
    }
    .social-icons a img {
        width: 40px;
        height: 40px;
        transition: transform 0.3s ease-in-out;
    }
    .social-icons a img:hover {
        transform: scale(1.2);
    }
    footer {
        margin-top: 50px;
        text-align: center;
        font-family: 'Georgia', serif;
        color: var(--text-muted, #6c757d);
    }
    </style>
    """, unsafe_allow_html=True)

# Title and Tagline
st.title("Mastering Machine Learning: From Basics To Brilliance 🚀🤖")
st.markdown("## Your Gateway To Become Master In Data Science")

# Display Lottie animation
animation_url = "https://lottie.host/a45f4739-ef78-4193-b3f9-2ea435a190d5/PsTVRgXekn.json"
lottie_animation = load_lottieurl(animation_url)
if lottie_animation:
    st_lottie(lottie_animation, height=200, key="animation")

# About the App Section
st.subheader("About This Application")
st.markdown("""
This platform serves as a **comprehensive guide to Machine Learning and Data Science**.  
From grasping the fundamentals to deploying models, it offers insights into the entire lifecycle:
- **Problem Definition**: Understand the business context and set clear objectives.  
- **Data Handling**: Collect, clean, and explore datasets to uncover insights.  
- **Model Development**: Build and optimize machine learning models.  
- **Model Deployment**: Deliver real-world solutions and monitor performance.  

Designed for both beginners and those looking to refine their skills, this app provides a structured learning path enriched with practical examples.
""")

# Key Takeaways Section
st.subheader("What You'll Learn Here")
st.markdown("""
1. **Step-by-Step Roadmaps**: Detailed guidance to help you navigate through data science challenges.  
2. **Hands-on Projects**: Real-world examples and code snippets for applied learning.  
3. **Visualizations**: Clear, intuitive graphs and plots to simplify complex concepts.  
4. **Insights from Experience**: Lessons from my personal journey to help you avoid common pitfalls.  
""")

# Author Section
st.markdown("""
<div class="about-author">
    <h2>About the Author</h2>
    <p>
        Hello! I'm <strong>Yash Harish Gupta</strong>, an aspiring data scientist deeply passionate about machine learning.  
        My journey began with curiosity about how data drives decisions and has evolved into a mission to create impactful solutions.  
        Currently, I am learning and preparing to embark on my professional career in this exciting field.
    </p>
</div>
""", unsafe_allow_html=True)

# Social Links Section
st.markdown("""
<div class="social-icons">
    <a href="https://www.linkedin.com/in/yash-harish-gupta-71b011189/" target="_blank">
        <img src="https://upload.wikimedia.org/wikipedia/commons/c/ca/LinkedIn_logo_initials.png" alt="LinkedIn">
    </a>
    <a href="https://github.com/YashGupta018" target="_blank">
        <img src="https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png" alt="GitHub">
    </a>
</div>
""", unsafe_allow_html=True)

# Footer Section
st.markdown("""
<footer>
    <p>Made with ❤️ by <strong>Yash Harish Gupta</strong> | © 2024</p>
</footer>
""", unsafe_allow_html=True)