Update app.py

app.py

@@ -136,7 +136,7 @@ def evolve_emotions():
     toolbox.register("attr_float", random.uniform, 0, 20)
     toolbox.register("attr_intensity", random.uniform, 0, 10)
     toolbox.register("individual", tools.initCycle, creator.Individual,
-                     (toolbox.attr_float,) * (len(emotions) - 1) +
+                     (toolbox.attr_float,) * len(emotions) +
                      (toolbox.attr_intensity,) * len(emotions) +
                      (lambda: 100,), n=1)
     toolbox.register("population", tools.initRepeat, list, toolbox.individual)
@@ -150,8 +150,8 @@ def evolve_emotions():
                                stats=None, halloffame=None, verbose=False)
 
     best_individual = tools.selBest(population, k=1)[0]
-    emotion_values = best_individual[:len(emotions) - 1]
-    intensities = best_individual[-len(emotions):]
+    emotion_values = best_individual[:len(emotions)]
+    intensities = best_individual[len(emotions):-1]
     ideal_state = best_individual[-1]
 
     for i, emotion in enumerate(emotions):
@@ -160,7 +160,6 @@ def evolve_emotions():
             emotions[emotion]['intensity'] = intensities[i]
 
     emotions['ideal_state']['percentage'] = ideal_state
-
 def predict_emotion(context):
     emotion_prediction_pipeline = pipeline('text-classification', model=emotion_prediction_model, tokenizer=emotion_prediction_tokenizer, top_k=None)
     predictions = emotion_prediction_pipeline(context)