Update src/streamlit_app.py

src/streamlit_app.py

@@ -48,29 +48,7 @@ def run_ahp(df,criteria):
     # --- Step 1: User Inputs Pairwise Matrices ---   
     pairwise_matrices = []
     for criterion in criteria:
-        
-         pairwise_matrix = pd.DataFrame(np.ones((len(criteria), len(criteria))), index=criteria, columns=criteria)
-
-        # for i in range(len(criteria)):
-        #     for j in range(i + 1, len(criteria)):
-        #         val = st.number_input(
-        #             f"Seberapa penting '{criteria[i]}' dibandingkan '{criteria[j]}'?",
-        #             min_value=1/9.0, max_value=9.0, value=1.0, step=0.1,
-        #             key=f"{criteria[i]}_{criteria[j]}"
-        #         )
-        #         pairwise_matrix.iloc[i, j] = val
-        #         pairwise_matrix.iloc[j, i] = 1 / val
-
-        # st.write("📊 Matriks Perbandingan Kriteria:")
-        # st.dataframe(pairwise_matrix)
-
-        # norm_matrix = pairwise_matrix / pairwise_matrix.sum()
-        # weights = norm_matrix.mean(axis=1).values
-        # weights /= weights.sum()
-
-        
-        
-        
+        pairwise_matrix = pd.DataFrame(np.ones((len(criteria), len(criteria))), index=criteria, columns=criteria)
         st.subheader(f"⚖️ Pairwise Matrix for {criterion}")
         # --- Step 1: Create empty matrix (with 1s on diagonal) ---
         matrix_df = pd.DataFrame(np.ones((len(alternatives), len(alternatives))),