Remove prompt

watermark.py

@@ -8,11 +8,6 @@ from scipy.special import gamma, gammainc, gammaincc, betainc
 from scipy.optimize import fminbound
 import numpy as np
 
-
-DEFAULT_SYSTEM_PROMPT = """\
-    You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.
-    If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\
-    """
 device = torch.device('cuda:0') if torch.cuda.is_available() else torch.device('cpu')
 
 def hash_tokens(input_ids: torch.LongTensor, key: int):
@@ -144,25 +139,13 @@ class Watermarker(object):
         return decoded_texts
     
     
-
-    def get_prompt(self, message: str) -> str:
-        texts = [f'<s>[INST] <<SYS>>\n{DEFAULT_SYSTEM_PROMPT}\n<</SYS>>\n\n']
-        # The first user input is _not_ stripped
-        texts.append(f'{message} [/INST]')
-        return ''.join(texts)
-    
-    
-    
     def detect(self, attacked_texts, key=42, method='aaronson', gamma=0.5, prompts=None):
         if(prompts==None):
             prompts = [""] * len(attacked_texts)
-        else:
-            for i in range(len(prompts)):
-                prompts[i] = self.get_prompt(prompts[i])
-        print(prompts)
         generator = self.generator
 
-        #print("attacked_texts = ", attacked_texts)
+        print("attacked_texts = ", attacked_texts)
+        print("prompts = ", prompts")
 
         cdfs = []
         ms = []