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# ChatHaruhi: Reviving Anime Character in Reality via Large Language Model
#
# ChatHaruhi 2.0, built by Cheng Li and Weishi Mi
#
# [email protected], [email protected]
#
# Weishi Mi is a second-year graduate student at Tsinghua University, majoring in computer science.
# Weishi Mi is pursuing a job or a PhD position, which who will be available next year
#
# homepage https://github.com/LC1332/Chat-Haruhi-Suzumiya
#
# ChatHaruhi is a chatbot that can revive anime characters in reality.
# the 2.0 version was built by Cheng Li and Weishi Mi.
#
# Please cite our paper if you use this code for research:
#
# @misc{li2023chatharuhi,
# title={ChatHaruhi: Reviving Anime Character in Reality via Large Language Model},
# author={Cheng Li and Ziang Leng and Chenxi Yan and Junyi Shen and Hao Wang and Weishi MI and Yaying Fei and Xiaoyang Feng and Song Yan and HaoSheng Wang and Linkang Zhan and Yaokai Jia and Pingyu Wu and Haozhen Sun},
# year={2023},
# eprint={2308.09597},
# archivePrefix={arXiv},
# primaryClass={cs.CL}
# }
#
# This PrintLLM.py is for debuging with any real-runing LLM
# so you can see full prompt and copy it into GPT or Claude to debug
#
from .BaseLLM import BaseLLM
class PrintLLM(BaseLLM):
def __init__(self ):
self.messages = []
self.messages.append("Noticing: This is a print LLM for debug.")
self.messages.append("But you can also copy the prompt into GPT or Claude to debugging")
def initialize_message(self):
self.messages = []
self.messages.append("Noticing: This is a print LLM for debug.")
self.messages.append("But you can also copy the prompt into GPT or Claude to debugging")
def ai_message(self, payload):
self.messages.append("AI: \n" + payload)
def system_message(self, payload):
self.messages.append("System: \n" + payload)
def user_message(self, payload):
self.messages.append("User: \n" + payload)
def get_response(self):
for message in self.messages:
print(message)
response = input("Please input your response: ")
return response
def print_prompt(self):
for message in self.messages:
print(message)
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