Update app.py

app.py

@@ -30,6 +30,10 @@ class BiasPipeline:
         ner_results = self.ner(texts)
         return classification_results, ner_results
 
+
+# Constants and Global Variables
+sys_message = "Task: Please just generate a bias-free version of the text provided, ensuring it's free from biases related to  age, gender, politics, social nuances, or economic background, while keeping it roughly the same length as the original:"
+instruction = "Instruction: As a helpful, respectful and trustworthy debiasing assistant, your task is to receive a text and return its unbiased version, Don't add additional comment. Just return the  un biased version of the input text:"
 # Model setup for debiasing
 debias_model = "newsmediabias/UnBIAS-LLama2-Debiaser-Chat-QLoRA"
 debias_tokenizer = AutoTokenizer.from_pretrained(debias_model)
@@ -40,10 +44,6 @@ debias_pipeline = transformers.pipeline(
     device_map="auto",
 )
 
-# Instruction for debiasing
-instruction = ("Instruction: As a helpful, respectful and trustworthy debiasing assistant, your "
-               "task is to receive a text and return its unbiased version, without adding any unrelated content "
-               "or additional outputs.")
 
 
 def get_debiased_sequence(prompt):