import streamlit as st
from streamlit_lottie import st_lottie
import requests

# Function to load Lottie animations
def load_lottieurl(url: str):
    try:
        r = requests.get(url)
        r.raise_for_status()  # Will raise an exception for 4xx/5xx errors
        return r.json()
    except requests.exceptions.RequestException as e:
        # Log the error if the URL is not accessible or if there is any issue
        st.error(f"Error loading Lottie animation from {url}: {e}")
        return None

# Load animations
robot_animation = load_lottieurl("https://lottie.host/45619748-3867-4f57-8f50-cac297eca2da/1q98CFxp2I.json")
hero_animation = load_lottieurl("https://assets9.lottiefiles.com/packages/lf20_touohxv0.json")
data_science_animation = load_lottieurl("https://assets9.lottiefiles.com/packages/lf20_jcikwtux.json")
ml_animation = load_lottieurl("https://lottie.host/e4bb50e7-3033-4642-b51b-05b703d86236/yje0T0dWeq.json")  # New URL for ML animation

dl_animation = load_lottieurl("https://assets10.lottiefiles.com/packages/lf20_kuhijlvx.json")
gen_ai_animation = load_lottieurl("https://assets4.lottiefiles.com/packages/lf20_x62chJ.json")

# Home Page
st.title("Zero to Hero in Machine Learning 🌟")
if hero_animation:  # Only show if the animation was successfully loaded
    st_lottie(hero_animation, height=300, key="hero")

st.header("About the Author 📖")
if robot_animation:
    st_lottie(robot_animation, height=300, key="robot")

st.write("""
Hi, I'm Phaneendra Bharadwaj, an aspiring data scientist and machine learning enthusiast. 
Here's a bit about me:
- **Skills:** Python, Exploratory Data Analysis, Machine Learning, Deep Learning, Generative AI.
- **Experience:** I'm a Fresher, working on various ML related projects.
""")
st.markdown(
    """
    <div style="position: fixed; top: 20px; right: 20px; display: flex; align-items: center;">
        <div style="font-size:30px; color:#f39c12; font-weight:bold; animation: textAnimation 2s ease-in-out infinite; margin-right: 20px;">
            Hey User! Are you Ready??
        </div>
        <div>
            <!-- Lottie animation -->
            <div style="width: 100px; height: 100px;">
                <script src="https://cdnjs.cloudflare.com/ajax/libs/bodymovin/5.7.10/lottie.min.js"></script>
                <div id="lottie"></div>
                <script>
                    var animation = bodymovin.loadAnimation({
                        container: document.getElementById('lottie'),
                        renderer: 'svg',
                        loop: true,
                        autoplay: true,
                        path: 'https://lottie.host/45619748-3867-4f57-8f50-cac297eca2da/1q98CFxp2I.json'
                    });
                </script>
            </div>
        </div>
    </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
)

# Sections
st.subheader("📊 Data Science")
if data_science_animation:
    st_lottie(data_science_animation, height=200, key="data_science")
st.write("""
Data Science involves extracting insights from data using statistical techniques.
**Example:** Predicting sales based on historical data.
""")

st.subheader("🤖 Machine Learning")
if ml_animation:
    st_lottie(ml_animation, height=200, key="machine_learning")
st.write("""
Machine Learning is a tool used to learn the data from Natural Intelligence,it is a tool used to mimic/copy Natural Intelligence.This uses statistical concepts to mimic /copy  learning ability.
**Example:** Spam email detection.
""")

st.subheader("🧠 Deep Learning")
if dl_animation:
    st_lottie(dl_animation, height=200, key="deep_learning")
st.write("""
Deep Learning is a subset of Machine Learning that uses neural networks.It is also a tool used to learn the data from Natural Intelligence.
**Example:** Image recognition, like identifying cats in pictures.
""")

st.subheader("✨ Generative AI")
if gen_ai_animation:
    st_lottie(gen_ai_animation, height=200, key="gen_ai")
st.write("""
Generative AI creates new content by learning from existing data which we've learn't by using ML,DL from Natural Intelligence.
**Example:** ChatGPT for generating human-like text responses.
""")

# Footer with animation
st.write("---")
st.markdown("**Let's embark and dive deep on this journey from Zero to Hero!  🚀**")