Reposition the variable

app.py

@@ -2,8 +2,10 @@ import os
 import gradio as gr
 from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 
-# initialize the model
+# initialize the environment
 model_name = 'anugrahap/gpt2-indo-textgen'
+HF_TOKEN = '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'
+callback = gr.HuggingFaceDatasetSaver(HF_TOKEN, "output-gpt2-indo-textgen")
 
 # define the tokenization method
 tokenizer = AutoTokenizer.from_pretrained(model_name,
@@ -122,9 +124,6 @@ examples = [
     ["Pemandangan di pantai kuta Bali sangatlah indah.", 30, 50, 0.5, 40, 0.98, 10, 1.0, True],
     ["Pemandangan di pantai kuta Bali sangatlah indah.", 10, 30, 1.5, 30, 0.93, 5, 2.0, True]]
 
-HF_TOKEN = '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'
-callback = gr.HuggingFaceDatasetSaver(HF_TOKEN, "output-gpt2-indo-textgen")
-
 # using gradio block to create the interface
 with gr.Blocks(title="GPT-2 Indonesian Text Generation Playground", theme='Default') as app:
     gr.Markdown("""