app.py

import streamlit as st
from streamlit_lottie import st_lottie
import requests

# Function to load Lottie animations
def load_lottieurl(url: str):
    r = requests.get(url)
    if r.status_code != 200:
        return None
    return r.json()

# Load your provided Lottie animation
lottie_animation_url = "https://assets9.lottiefiles.com/packages/lf20_touohxv0.json"  # Use your animation URL here
hero_animation = load_lottieurl(lottie_animation_url)

# App title
st.title("Zero to Hero in Machine Learning 🚀")

# Add Lottie animation
st_lottie(hero_animation, height=300, key="hero")

# Add animated text near the animation
st.markdown(
    """
    <div style="font-size:30px; color:#f39c12; text-align:center; font-weight:bold; animation: textAnimation 2s ease-in-out infinite;">
        Hey User! Are you Ready??
    </div>
    <style>
    @keyframes textAnimation {
        0% { color: #f39c12; transform: scale(1.1); }
        50% { color: #e74c3c; transform: scale(1.2); }
        100% { color: #f39c12; transform: scale(1.1); }
    }
    </style>
    """,
    unsafe_allow_html=True
)

# Author and skills
st.header("About the Author 📖")
st.write("""
Hi, I'm [Your Name], a Machine Learning enthusiast and Data Scientist.
**Skills:**
- Python, Pandas, Scikit-Learn, TensorFlow
- Streamlit, Generative AI
- Data Visualization
""")