Update app.py

app.py

@@ -219,8 +219,8 @@ def predict(df_raw: pd.DataFrame, model, baseline_survival) -> pd.DataFrame:
     for t, col in horizons.items():
         S_t = (S0_at(t)) ** HR     # survival
         df[col] = 1 - S_t          # prob event
-
-    df_map = df[["latitude_feu", "longitude_feu", "ville"] + list(horizons.values())].copy()
+    df_map = df[["lat", "lon", "nom"] + list(horizons.values())].copy()
+    # df_map = df[["latitude_feu", "longitude_feu", "ville"] + list(horizons.values())].copy()
     return df_map
 
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