Update app.py

app.py

@@ -38,7 +38,9 @@ def dynamic_huff_model(df_distances, df_attractiveness, alpha, beta, df_capacity
         
         # Calculate Huff model probabilities
         distance_term = df_distances ** -beta
-        numerator = (attractiveness ** alpha).multiply(distance_term, axis='columns')
+        # If df_distances is a DataFrame and df_attractiveness is a Series, you might need an operation like:
+        numerator = df_distances.multiply(df_attractiveness, axis=0)  # Adjust based on actual intent
+
         denominator = numerator.sum(axis='columns')
         probabilities = numerator.div(denominator, axis='index').fillna(0)