modified code for species column

app.py

@@ -42,7 +42,7 @@ with tabs[2]:  # Data Visualization
     
     st.write("### Feature Correlation")
     fig, ax = plt.subplots()
-    sns.heatmap(df.corr(), annot=True, cmap='coolwarm', ax=ax)
+    sns.heatmap(df.drop(columns=['species']).corr(), annot=True, cmap='coolwarm', ax=ax)
     st.pyplot(fig)
 
 with tabs[3]:  # Prediction