Update src/streamlit_app.py

src/streamlit_app.py

@@ -50,7 +50,7 @@ st.markdown(
 @st.cache_data
 def load_data(path):
     df = pd.read_json(path, lines=True)
-    score_cols = [f"T{i}" for i in range(1, 14)]
+    score_cols = [f"T{i}" for i in range(1, 12)]
     df["Avg"] = df[score_cols].mean(axis=1).round(1)
     # df["Avg"] = np.ceil(df[score_cols].mean(axis=1) * 10) / 10
     # Compute rank per column (1 = best)
@@ -69,7 +69,7 @@ if selected_tier == 'F1':
     df = load_data("src/models.json")
 
     # Precompute max ranks for color scaling
-    score_cols = [f"T{i}" for i in range(1, 14)] + ["Avg"]
+    score_cols = [f"T{i}" for i in range(1, 12)] + ["Avg"]
     max_ranks = {col: df[f"{col}_rank"].max() for col in score_cols}
     
     # Build raw HTML table
@@ -104,7 +104,7 @@ else:
     df2 = load_data("src/model_acc.json")
 
     # Precompute max ranks for color scaling
-    score_cols = [f"T{i}" for i in range(1, 14)] + ["Avg"]
+    score_cols = [f"T{i}" for i in range(1, 12)] + ["Avg"]
     max_ranks = {col: df2[f"{col}_rank"].max() for col in score_cols}
     
     # Build raw HTML table