Update app.py

app.py

@@ -133,4 +133,28 @@ elif plot_type == "Eventplot":
 elif plot_type == "Tricontour":
     tricontour()
 elif plot_type == "Triplot":
-    triplot()
+    triplot()
+
+
+st.markdown("""
+# 📈 Discover the Power of Matplotlib: A Tutorial to Create Stunning Visualizations in Python 🐍
+
+Python enthusiasts and data scientists, rejoice! Our new Matplotlib tutorial will teach you how to create professional-quality visualizations to take your data analysis to the next level.
+
+## 🎨 Versatile Library for Creating Charts and Graphs
+
+Matplotlib is a powerful and versatile library that enables you to create a wide range of charts and graphs with ease. From heatmaps to 3D visualizations, our tutorial covers 10 different types of plots, allowing you to choose the perfect one for your data.
+
+## 🚀 Interactive Visualizations with Streamlit
+
+In this tutorial, you'll learn how to use Matplotlib with Streamlit to interactively display your visualizations, making it easy to share your work with others. Our step-by-step guide is designed to be accessible to beginners, while also providing advanced techniques for more experienced users.
+
+## 💻 Lots of Code Examples and Images
+
+With lots of code examples and images, our tutorial will guide you through creating heatmaps, contour plots, quiver plots, and many more. You'll also learn how to customize your visualizations with color maps and labels, and how to create 3D plots that showcase your data in a whole new dimension.
+
+## 🎓 For Everyone, from Beginners to Experts
+
+Whether you're a data analyst, a data scientist, or simply looking to add data visualization skills to your repertoire, our Matplotlib tutorial has something for everyone. So don't wait any longer to unleash the power of Matplotlib and create stunning visualizations that bring your data to life.
+
+""")