Update app.py

app.py

@@ -104,7 +104,7 @@ def update_emotion(emotion, percentage, intensity):
     # Normalize percentages
     total = sum(e['percentage'] for e in emotions.values())
     for e in emotions:
-    emotions[e]['percentage'] = (emotions[e]['percentage'] / total) * 100
+        emotions[e]['percentage'] = (emotions[e]['percentage'] / total) * 100
 
 def normalize_context(context):
     return context.lower().strip()
@@ -137,15 +137,15 @@ def evolve_emotions():
 
     population = toolbox.population(n=100)
     algorithms.eaMuPlusLambda(population, toolbox, mu=50, lambda_=100, cxpb=0.7, mutpb=0.2, ngen=50,
-                               stats=None, halloffame=None, verbose=False)
+                              stats=None, halloffame=None, verbose=False)
 
     best_individual = tools.selBest(population, k=1)[0]
     emotion_values = best_individual[:len(emotions)]
     intensities = best_individual[len(emotions):]
 
     for i, (emotion, data) in enumerate(emotions.items()):
-      data['percentage'] = emotion_values[i]
-    data['intensity'] = intensities[i]
+        data['percentage'] = emotion_values[i]
+        data['intensity'] = intensities[i]
 
     # Normalize percentages
     total = sum(e['percentage'] for e in emotions.values())
@@ -314,4 +314,4 @@ iface = gr.Interface(
     description="An AI assistant that can analyze the emotional content of text and generate responses based on its emotional state.",
 )
 
-iface.launch()
+iface.launch()