Update app.py

app.py

@@ -20,6 +20,8 @@ def huff_model_probability(df_distances, df_attractiveness, alpha, beta, df_popu
                 lambda x: np.exp(-(max(0, x - distance_threshold)) * decay_factor))
     else:
         adjustment_factors[:] = 1
+    # deactivate adjustment factor !!!!!!!!!!!!!!!!!!!!
+    adjustment_factors[:] = 1
 
     adjusted_population = df_population.repeat(df_distances.shape[1]).values.reshape(df_distances.shape) * adjustment_factors
     attractiveness_term = df_attractiveness ** alpha