Update app.py

app.py

@@ -19,7 +19,7 @@ KPI_FLAG_DEFAULT = os.getenv('KPI_FLAG', 'True') == 'True'
 ENGAGEMENT_SCORE_DEFAULT = float(os.getenv('ENGAGEMENT_SCORE', '85.0'))
 
 # Load model and tokenizer
-model_name = "distilgpt2"
+model_name = "distilgpt2"  # You can use a larger model here if needed
 tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True)
 model = AutoModelForCausalLM.from_pretrained(model_name, low_cpu_mem_usage=True)