Update app.py

app.py

@@ -9,54 +9,39 @@ def load_lottieurl(url: str):
         return None
     return r.json()
 
-# Load animations
-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://assets3.lottiefiles.com/packages/lf20_vf9lvx3t.json")
-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")
+# 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)
 
-# Home Page
-st.title("Zero to Hero in Machine Learning 🌟")
+# 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 passionate data scientist and machine learning enthusiast. 
-Here's a bit about me:
-- **Skills:** Python, Data Analysis, Machine Learning, Deep Learning, Generative AI.
-- **Experience:** 5 years in the industry, working on various ML and AI projects.
-""")
-
-# Sections
-st.subheader("📊 Data Science")
-st_lottie(data_science_animation, height=200, key="data_science")
-st.write("""
-Data Science involves extracting insights from data using statistical and computational techniques.
-**Example:** Predicting sales based on historical data.
-""")
-
-st.subheader("🤖 Machine Learning")
-st_lottie(ml_animation, height=200, key="machine_learning")
-st.write("""
-Machine Learning enables systems to learn from data and improve their performance without being explicitly programmed.
-**Example:** Spam email detection.
+Hi, I'm [Your Name], a Machine Learning enthusiast and Data Scientist.
+**Skills:**
+- Python, Pandas, Scikit-Learn, TensorFlow
+- Streamlit, Generative AI
+- Data Visualization
 """)
-
-st.subheader("🧠 Deep Learning")
-st_lottie(dl_animation, height=200, key="deep_learning")
-st.write("""
-Deep Learning is a subset of Machine Learning that uses neural networks with multiple layers to model complex patterns.
-**Example:** Image recognition, like identifying cats in pictures.
-""")
-
-st.subheader("✨ Generative AI")
-st_lottie(gen_ai_animation, height=200, key="gen_ai")
-st.write("""
-Generative AI creates new content by learning from existing data.
-**Example:** ChatGPT for generating human-like text responses.
-""")
-
-# Footer with animation
-st.write("---")
-st.markdown("**Let's embark on this journey from Zero to Hero! 🚀**")