Delete pages/Home.py

pages/Home.py

@@ -1,109 +0,0 @@
-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!  🚀**")