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://lottie.host/45619748-3867-4f57-8f50-cac297eca2da/1q98CFxp2I.json"
hero_animation = load_lottieurl(lottie_animation_url)

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

# Add Lottie animation at the top of the page
st_lottie(hero_animation, height=300, key="hero")

# Add animated text "Hey User! Are you Ready??" in the top-right corner
st.markdown(
    """
    <div style="position: fixed; top: 20px; right: 20px; font-size:30px; color:#f39c12; 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 section
st.header("About the Author 📖")
st.write("""
Hi, I'm [Your Name], a Machine Learning enthusiast and Data Scientist.
**Skills:**
- Python, Pandas, TensorFlow
- Streamlit, Generative AI
- Data Visuali