Update app.py

app.py

@@ -23,16 +23,17 @@ with tab1:
         - **False Positive (FP)**: Model predicted Positive but it was actually Negative (Type I Error)  
         - **False Negative (FN)**: Model predicted Negative but it was actually Positive (Type II Error)
         """)
-        st.markdown(
+    st.markdown(
     """
-    <div style="text-align: center;">
-        <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/2/26/Precisionrecall.svg/1200px-Precisionrecall.svg.png" width="100"/>
+    <div style='text-align: center;'>
+        <img src='https://upload.wikimedia.org/wikipedia/commons/thumb/2/26/Precisionrecall.svg/1200px-Precisionrecall.svg.png' width='200' height='180'>
         <p><i>TP, FP, TN, FN Overview</i></p>
     </div>
     """,
     unsafe_allow_html=True
 )
 
+
     with st.expander("🎯 Accuracy"):
         st.latex(r"Accuracy = \frac{TP + TN}{TP + TN + FP + FN}")
         st.markdown("**How often the model is correct overall.**")