Update new_app.py

new_app.py

@@ -53,20 +53,26 @@ col1, col2 = st.columns(2)
 with col1:
     _, col = st.columns(2)
     with col:
-        st.header('Overpass Detector')
         st.markdown(
-                    """
-                    <div style="
-                        font-size:1.25rem;
-                        margin-top:-0.3rem;
-                        margin-bottom:0.6rem;
-                        opacity:0.9;
-                    ">
-                    This page runs a trained machine learning model to detect road overpasses in satellite imagery.
-                    </div>
-                    """,
-                    unsafe_allow_html=True
-                    )
+            "<h1 style='text-align: center; margin-bottom: 0.1em;'>Overpass Detector</h1>",
+            unsafe_allow_html=True
+        )
+        
+        st.markdown(
+            """
+            <div style="
+                text-align:center;
+                font-size:1.25rem;
+                margin-top:-0.3rem;
+                margin-bottom:0.6rem;
+                opacity:0.9;
+            ">
+            This page runs a trained machine learning model to detect road overpasses in satellite imagery.
+            </div>
+            """,
+            unsafe_allow_html=True
+        )
+
 with col2:
     _, col, _ = st.columns(3)
     with col:
@@ -149,22 +155,6 @@ with col1:
         with st.spinner("Running inference..."):
             result = state.loaded_model.predict(img_array)
         crossing_chance = result[0][1]*100
-        status = None
-        if crossing_chance >= 90:
-            status = "extremely likely"
-        elif crossing_chance >= 60:
-            status = "likely"
-        elif crossing_chance >= 40:
-            status = "a coin toss whether"
-        elif crossing_chance >= 10:
-            status = "unlikely"
-        elif crossing_chance >= 0:
-            status = "extremely unlikely"
-
-        st.write(f"It's {status} there's an overpass here.")
-        st.write("")
-        st.write(f"In fact, the likelihood of at least one overpass is {np.round(crossing_chance,decimals=2)}%.")
-
         pct = np.round(crossing_chance,decimals=2)
         
         label = "Overpass Likely" if pct >= 50 else "Overpass Unlikely"