Update app.py

change token to token_r
add token_w

app.py

@@ -1,5 +1,6 @@
 import os
-token=os.environ['token']
+token_r=os.environ['token_r']
+token_w=os.environ['token_w']
 import torch
 import gradio as gr
 from unsloth import FastLanguageModel
@@ -17,7 +18,7 @@ model, tokenizer = FastLanguageModel.from_pretrained(
     dtype = None,
     load_in_4bit = True,
 )
-model.load_adapter(peft_model_adapter_id, token=token)
+model.load_adapter(peft_model_adapter_id, token=token_r)
 
 terminators = [
     tokenizer.eos_token_id,
@@ -93,7 +94,7 @@ Interventional Model:
 Masking:"""
 
    
-hf_writer = gr.HuggingFaceDatasetSaver("criteria-feedback-demo",token, private=True)
+hf_writer = gr.HuggingFaceDatasetSaver("criteria-feedback-demo",token_w, private=True)
 with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column():