Update app.py

app.py

@@ -79,16 +79,16 @@ with tab1:
     
         ## **Dataset Information**
         """)
-        st.write(pd.DataFrame(load_iris()['data'], columns=load_iris()['feature_names']).head())
-        st.markdown("""
-            The Iris dataset contains **150 samples** of iris flowers.
-            Each sample includes the following features:
-            - 🌸 Sepal Length (cm)
-            - 🌸 Sepal Width (cm)
-            - 🌸 Petal Length (cm)
-            - 🌸 Petal Width (cm)
+    st.write(pd.DataFrame(load_iris()['data'], columns=load_iris()['feature_names']).head())
+    st.markdown("""
+        The Iris dataset contains **150 samples** of iris flowers.
+        Each sample includes the following features:
+        - 🌸 Sepal Length (cm)
+        - 🌸 Sepal Width (cm)
+        - 🌸 Petal Length (cm)
+        - 🌸 Petal Width (cm)
     
-            The goal of clustering is to find natural patterns among these measurements.
+        The goal of clustering is to find natural patterns among these measurements.
     """)
 
 # ------------- Data Visualization Tab -------------