return to gpt2_story generator

app.py

@@ -1,8 +1,8 @@
 import gradio as gr
 from transformers import pipeline
 
-# pipeline = pipeline("text-generation", model="isarth/distill_gpt2_story_generator")
-pipeline = pipeline("text-generation", model="tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b")
+pipeline = pipeline("text-generation", model="isarth/distill_gpt2_story_generator")
+# pipeline = pipeline("text-generation", model="tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b")
 
 def text_generate(input_text):
     result = pipeline(input_text)