Update app.py

app.py

@@ -323,6 +323,42 @@ def exportar_informe_latex(df_valid, informe_md):
         f.write(informe_tex)
     return filename
 
+def exportar_word(df, informe_md):
+    df_valid = df.copy()
+    col_predicha = [col for col in df_valid.columns if 'Predicha' in col][0]
+    col_real = [col for col in df_valid.columns if 'Real' in col][0]
+
+    # Convertir columnas a numérico
+    df_valid[col_predicha] = pd.to_numeric(df_valid[col_predicha], errors='coerce')
+    df_valid[col_real] = pd.to_numeric(df_valid[col_real], errors='coerce')
+
+    df_valid = df_valid.dropna(subset=[col_predicha, col_real])
+
+    if df_valid.empty:
+        return None
+
+    filename = exportar_informe_word(df_valid, informe_md)
+
+    return filename  # Retornamos el nombre del archivo
+
+def exportar_latex(df, informe_md):
+    df_valid = df.copy()
+    col_predicha = [col for col in df_valid.columns if 'Predicha' in col][0]
+    col_real = [col for col in df_valid.columns if 'Real' in col][0]
+
+    # Convertir columnas a numérico
+    df_valid[col_predicha] = pd.to_numeric(df_valid[col_predicha], errors='coerce')
+    df_valid[col_real] = pd.to_numeric(df_valid[col_real], errors='coerce')
+
+    df_valid = df_valid.dropna(subset=[col_predicha, col_real])
+
+    if df_valid.empty:
+        return None
+
+    filename = exportar_informe_latex(df_valid, informe_md)
+
+    return filename  # Retornamos el nombre del archivo
+
 # Funciones de ejemplo
 def cargar_ejemplo_ufc():
     df = generar_tabla(7, 2000000, "UFC")