Update app.py

app.py

@@ -4,21 +4,54 @@ import pandas as pd
 import matplotlib.pyplot as plt
 import seaborn as sns
 
+# App Title with Emojis
+st.title("📁 **Welcome to the Insane File Uploader** 🚀")
+st.subheader("Upload a CSV file to visualize magic 🔮")
 
-st.title("File Uploader")
-st.subheader("Input CSV")
-uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
+# File Uploader
+uploaded_file = st.file_uploader("Choose a CSV file to start:", type="csv")
 
+# If a file is uploaded
 if uploaded_file is not None:
     data = pd.read_csv(uploaded_file)
-    st.subheader("DataFrame")
-    st.write(data)
+    
+    # Display DataFrame with color
+    st.subheader("🎯 Here's your DataFrame 🎯")
+    st.dataframe(data.style.highlight_max(axis=0, color='lightgreen'))  # Highlight max values
+    
+    # Create two columns for visuals
+    st.subheader("📊 **Data Visualizations**")
     col1, col2 = st.columns(2)
+    
     with col1:
-        fig1 = plt.figure()
-        sns.scatterplot(data=data, x='EstimatedSalary', y='Age', hue="Purchased")
+        st.markdown("### 🔥 **Scatter Plot: Salary vs Age**")
+        fig1 = plt.figure(figsize=(7, 5))
+        sns.scatterplot(data=data, x='EstimatedSalary', y='Age', hue="Purchased", palette='coolwarm', s=100)
+        plt.title("Estimated Salary vs Age", fontsize=14, fontweight='bold')
+        plt.xlabel("Estimated Salary", fontsize=12)
+        plt.ylabel("Age", fontsize=12)
+        plt.grid(True)
         st.pyplot(fig1)
+        
     with col2:
-        fig2 = plt.figure()
-        sns.histplot(data=data, x='Age')
-        st.pyplot(fig2)
+        st.markdown("### 🎨 **Age Distribution**")
+        fig2 = plt.figure(figsize=(7, 5))
+        sns.histplot(data=data, x='Age', kde=True, color='purple', edgecolor='black')
+        plt.title("Age Distribution", fontsize=14, fontweight='bold')
+        plt.xlabel("Age", fontsize=12)
+        plt.ylabel("Frequency", fontsize=12)
+        plt.grid(True)
+        st.pyplot(fig2)
+
+    # Additional interactive feedback
+    st.balloons()  # Fun balloons effect when file is uploaded
+    st.success("✅ **Data successfully loaded and visualized!**")
+    
+    # Footer section for fun
+    st.markdown("---")
+    st.markdown("💡 *Powered by Streamlit & Seaborn | Stay Curious & Visualize Everything!* 🧠")
+else:
+    # Fun message if no file is uploaded yet
+    st.markdown("### ⬆️ **Upload a file to get started!**")
+    st.info("Hint: Make sure your CSV has columns like **EstimatedSalary, Age, and Purchased** for best results!")
+