Update app.py

app.py

@@ -26,6 +26,9 @@ def validate_inputs(A, B, C, AB, AC, BC, ABC, U):
     
     return errors
 
+def bayes_theorem(P_prior, P_likelihood, P_marginal):
+    return (P_likelihood * P_prior) / P_marginal
+
 def calculate_probabilities(A, B, C, AB, AC, BC, ABC, U):
     # Probabilidades individuales
     P_A = A / U
@@ -45,13 +48,13 @@ def calculate_probabilities(A, B, C, AB, AC, BC, ABC, U):
     P_B_total = P_A * P_B_given_A + P_C * P_B_given_C - P_A_given_C * P_C_given_A * P_B_given_A * P_B_given_C
     P_C_total = P_A * P_C_given_A + P_B * P_C_given_B - P_A_given_B * P_B_given_A * P_C_given_A * P_C_given_B
 
-    # Teorema de Bayes (probabilidad de A dado B, B dado A, etc.)
-    P_A_given_B_bayes = (P_B_given_A * P_A) / P_B
-    P_B_given_A_bayes = (P_A_given_B * P_B) / P_A
-    P_A_given_C_bayes = (P_C_given_A * P_A) / P_C
-    P_C_given_A_bayes = (P_A_given_C * P_C) / P_A
-    P_B_given_C_bayes = (P_C_given_B * P_B) / P_C
-    P_C_given_B_bayes = (P_B_given_C * P_C) / P_B
+    # Teorema de Bayes (dinámico)
+    P_A_given_B_bayes = bayes_theorem(P_A, P_B_given_A, P_B)
+    P_B_given_A_bayes = bayes_theorem(P_B, P_A_given_B, P_A)
+    P_A_given_C_bayes = bayes_theorem(P_A, P_C_given_A, P_C)
+    P_C_given_A_bayes = bayes_theorem(P_C, P_A_given_C, P_A)
+    P_B_given_C_bayes = bayes_theorem(P_B, P_C_given_B, P_C)
+    P_C_given_B_bayes = bayes_theorem(P_C, P_B_given_C, P_B)
 
     return {
         "P(A)": P_A,