Update app.py

app.py

@@ -146,7 +146,7 @@ def evolve_emotions():
     emotion_values = best_individual[:len(emotions)]
     intensities = best_individual[len(emotions):]
     def predict_emotion(context):
-        load_models()
+    load_models()
     inputs = emotion_prediction_tokenizer(context, return_tensors="pt", truncation=True, max_length=512)
     with torch.no_grad():
         outputs = emotion_prediction_model(**inputs)