Update app.py

app.py

@@ -277,7 +277,7 @@ def process_input(text):
         
         predicted_emotion = emotion_classes[rf_prediction]
         sentiment_score = isolation_score
-    distilgpt3_generated_text = generate_text(normalized_text, model_type='distilgpt3')
+        distilgpt3_generated_text = generate_text(normalized_text, model_type='distilgpt3')
         bloom_generated_text = generate_text(normalized_text, model_type='bloom')
 
         historical_data = load_historical_data()
@@ -291,7 +291,6 @@ def process_input(text):
         save_historical_data(historical_data)
 
         return predicted_emotion, sentiment_score, distilgpt3_generated_text, bloom_generated_text
-
     except Exception as e:
         error_message = f"An error occurred: {str(e)}"
         print(error_message)  # Logging the error