Update src/streamlit_app.py

src/streamlit_app.py

@@ -68,31 +68,66 @@ max_ranks = {col: df[f"{col}_rank"].max() for col in score_cols}
 # one page description
 st.markdown("## Leaderboard")
 # st.markdown("**Leaderboard:** higher scores shaded green; best models bolded.")
-# Build raw HTML table
-cols = ["Model"] + [f"T{i}" for i in range(1,12)] + ["Avg"]
-html = "<table style='border-collapse:collapse; width:100%; font-size:14px;'>"
-# header
-html += "<tr>" + "".join(f"<th style='padding:6px;'>{col}</th>" for col in cols) + "</tr>"
-# rows
-for _, row in df.iterrows():
-    html += "<tr>"
-    for col in cols:
-        val = row[col]
-        if col == "Model":
-            html += f"<td style='padding:6px; text-align:left;'>{val}</td>"
-        else:
-            rank = int(row[f"{col}_rank"])
-            norm = 1 - (rank - 1) / ((max_ranks[col] - 1) or 1)
-            # interpolate green (182,243,182) → white (255,255,255)
-            r = int(255 - norm*(255-182))
-            g = int(255 - norm*(255-243))
-            b = 255
-            bold = "font-weight:bold;" if rank == 1 else ""
-            style = f"background-color:rgb({r},{g},{b}); padding:6px; {bold}"
-            html += f"<td style='{style}'>{val}</td>"
-    html += "</tr>"
-html += "</table>"
-st.markdown(html, unsafe_allow_html=True)
+
+tiers = ['F1', 'Accuracy']
+selected_tier = st.selectbox('Select metric:', tiers)
+
+if selected_tier == 'F1':
+    # Build raw HTML table
+    cols = ["Model"] + [f"T{i}" for i in range(1,12)] + ["Avg"]
+    html = "<table style='border-collapse:collapse; width:100%; font-size:14px;'>"
+    # header
+    html += "<tr>" + "".join(f"<th style='padding:6px;'>{col}</th>" for col in cols) + "</tr>"
+    # rows
+    for _, row in df.iterrows():
+        html += "<tr>"
+        for col in cols:
+            val = row[col]
+            if col == "Model":
+                html += f"<td style='padding:6px; text-align:left;'>{val}</td>"
+            else:
+                rank = int(row[f"{col}_rank"])
+                norm = 1 - (rank - 1) / ((max_ranks[col] - 1) or 1)
+                # interpolate green (182,243,182) → white (255,255,255)
+                r = int(255 - norm*(255-182))
+                g = int(255 - norm*(255-243))
+                b = 255
+                bold = "font-weight:bold;" if rank == 1 else ""
+                style = f"background-color:rgb({r},{g},{b}); padding:6px; {bold}"
+                html += f"<td style='{style}'>{val}</td>"
+        html += "</tr>"
+    html += "</table>"
+    st.markdown(html, unsafe_allow_html=True)
+else:
+    # # Build raw HTML table
+    # cols = ["Model"] + [f"T{i}" for i in range(1,12)] + ["Avg"]
+    # html = "<table style='border-collapse:collapse; width:100%; font-size:14px;'>"
+    # # header
+    # html += "<tr>" + "".join(f"<th style='padding:6px;'>{col}</th>" for col in cols) + "</tr>"
+    # # rows
+    # for _, row in df.iterrows():
+    #     html += "<tr>"
+    #     for col in cols:
+    #         val = row[col]
+    #         if col == "Model":
+    #             html += f"<td style='padding:6px; text-align:left;'>{val}</td>"
+    #         else:
+    #             rank = int(row[f"{col}_rank"])
+    #             norm = 1 - (rank - 1) / ((max_ranks[col] - 1) or 1)
+    #             # interpolate green (182,243,182) → white (255,255,255)
+    #             r = int(255 - norm*(255-182))
+    #             g = int(255 - norm*(255-243))
+    #             b = 255
+    #             bold = "font-weight:bold;" if rank == 1 else ""
+    #             style = f"background-color:rgb({r},{g},{b}); padding:6px; {bold}"
+    #             html += f"<td style='{style}'>{val}</td>"
+    #     html += "</tr>"
+    # html += "</table>"
+    # st.markdown(html, unsafe_allow_html=True)  
+    st.markdown(...)
+
+
+
 
 pipeline_image = Image.open("src/pipeline.png")
 buffered2 = BytesIO()