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"""
From https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py
"""
import dataclasses
from enum import IntEnum, auto
from typing import Any, Dict, List
class SeparatorStyle(IntEnum):
"""Separator styles."""
DeepSeek = auto()
DeepSeekV2 = auto()
PLAIN = auto()
ALIGNMENT = auto()
@dataclasses.dataclass
class Conversation:
"""A class that manages prompt templates and keeps all conversation history."""
# The name of this template
name: str
# The template of the system prompt
system_template: str = "{system_message}"
# The system message
system_message: str = ""
# The names of two roles
roles: List[str] = (("USER", "ASSISTANT"),)
# All messages. Each item is (role, message).
messages: List[List[str]] = ()
# The number of few shot examples
offset: int = 0
# The separator style and configurations
sep_style: SeparatorStyle = SeparatorStyle.DeepSeek
sep: str = "\n"
sep2: str = None
# Stop criteria (the default one is EOS token)
stop_str: str = None
# Stops generation if meeting any token in this list
stop_token_ids: List[int] = None
def get_prompt(self) -> str:
"""Get the prompt for generation."""
system_prompt = self.system_template.format(system_message=self.system_message)
if self.sep_style == SeparatorStyle.DeepSeek:
seps = [self.sep, self.sep2]
if system_prompt == "" or system_prompt is None:
ret = ""
else:
ret = system_prompt + seps[0]
for i, (role, message) in enumerate(self.messages):
if message:
ret += role + ": " + message + seps[i % 2]
else:
ret += role + ":"
return ret
elif self.sep_style == SeparatorStyle.DeepSeekV2:
seps = [self.sep, self.sep2]
if system_prompt == "" or system_prompt is None:
ret = ""
else:
ret = system_prompt + seps[0]
for i, (role, message) in enumerate(self.messages):
if message:
if role == "User":
ret += "<｜sft▁begin｜>\n" + message + self.sep #<｜sft▁begin｜>User Input<｜sft▁end｜>\nResponse<｜end▁of▁sentence｜>
else:
ret += message + self.sep2
else:
ret = ret
return ret
elif self.sep_style == SeparatorStyle.PLAIN:
seps = [self.sep, self.sep2]
ret = ""
for i, (role, message) in enumerate(self.messages):
if message:
if type(message) is tuple:
message, _, _ = message
if i % 2 == 0:
ret += message + seps[i % 2]
else:
ret += message + seps[i % 2]
else:
ret += ""
return ret
elif self.sep_style == SeparatorStyle.ALIGNMENT:
seps = [self.sep, self.sep2]
ret = ""
for i, (role, message) in enumerate(self.messages):
if message:
if type(message) is tuple:
message, _, _ = message
if i % 2 == 0:
ret += '<image>\n' + seps[i % 2]
else:
ret += message + seps[i % 2]
else:
ret += ""
return ret
else:
raise ValueError(f"Invalid style: {self.sep_style}")
def set_system_message(self, system_message: str):
"""Set the system message."""
self.system_message = system_message
def append_message(self, role: str, message: str):
"""Append a new message."""
self.messages.append([role, message])
def update_last_message(self, message: str):
"""Update the last output.
The last message is typically set to be None when constructing the prompt,
so we need to update it in-place after getting the response from a model.
"""
self.messages[-1][1] = message
def reset_message(self):
"""Reset a new message."""
self.messages = []
def to_gradio_chatbot(self):
"""Convert the conversation to gradio chatbot format."""
ret = []
for i, (role, msg) in enumerate(self.messages[self.offset :]):
if i % 2 == 0:
ret.append([msg, None])
else:
ret[-1][-1] = msg
return ret
def to_openai_api_messages(self):
"""Convert the conversation to OpenAI chat completion format."""
system_prompt = self.system_template.format(system_message=self.system_message)
ret = [{"role": "system", "content": system_prompt}]
for i, (_, msg) in enumerate(self.messages[self.offset :]):
if i % 2 == 0:
ret.append({"role": "user", "content": msg})
else:
if msg is not None:
ret.append({"role": "assistant", "content": msg})
return ret
def copy(self):
return Conversation(
name=self.name,
system_template=self.system_template,
system_message=self.system_message,
roles=self.roles,
messages=[[x, y] for x, y in self.messages],
offset=self.offset,
sep_style=self.sep_style,
sep=self.sep,
sep2=self.sep2,
stop_str=self.stop_str,
stop_token_ids=self.stop_token_ids,
)
def dict(self):
return {
"template_name": self.name,
"system_message": self.system_message,
"roles": self.roles,
"messages": self.messages,
"offset": self.offset,
}
# A global registry for all conversation templates
conv_templates: Dict[str, Conversation] = {}
def register_conv_template(template: Conversation, override: bool = False):
"""Register a new conversation template."""
if not override:
assert template.name not in conv_templates, f"{template.name} has been registered."
conv_templates[template.name] = template
def get_conv_template(name: str) -> Conversation:
"""Get a conversation template."""
return conv_templates[name].copy()
# register_conv_template(
# Conversation(
# name="deepseek",
# system_template="{system_message}",
# # system_message="You are a helpful assistant. Please answer truthfully and write out your "
# # "thinking step by step to be sure you get the right answer.",
# system_message="",
# roles=("User", "Assistant"),
# messages=(),
# offset=0,
# sep_style=SeparatorStyle.DeepSeek,
# sep="\n\n",
# sep2="<｜end▁of▁sentence｜>",
# stop_token_ids=[100001],
# stop_str=["User:", "<｜end▁of▁sentence｜>"]
# )
# )
register_conv_template(
Conversation(
name="deepseek",
system_template="{system_message}",
# system_message="You are a helpful assistant. Please answer truthfully and write out your "
# "thinking step by step to be sure you get the right answer.",
system_message="",
roles=("<|User|>", "<|Assistant|>"),
messages=(),
offset=0,
sep_style=SeparatorStyle.DeepSeek,
sep="\n\n",
sep2="<｜end▁of▁sentence｜>",
stop_token_ids=[100001],
stop_str=["User:", "<｜end▁of▁sentence｜>"]
)
)
# register_conv_template(
# Conversation(
# name="deepseekv2",
# system_template="{system_message}",
# system_message="",
# roles=("User", "Assistant"),
# messages=(),
# offset=0,
# sep_style=SeparatorStyle.DeepSeekV2,
# sep="\n<｜sft▁end｜>",
# sep2="<｜end▁of▁sentence｜>",
# stop_token_ids=[100001],
# stop_str=["User:", "<｜end▁of▁sentence｜>"]
# )
# )
register_conv_template(
Conversation(
name="deepseekv2",
system_template="{system_message}",
system_message="",
roles=("|<User>|", "|<Assistant>|"),
messages=(),
offset=0,
sep_style=SeparatorStyle.DeepSeekV2,
sep="\n<｜sft▁end｜>",
sep2="<｜end▁of▁sentence｜>",
stop_token_ids=[100001],
stop_str=["User:", "<｜end▁of▁sentence｜>"]
)
)
register_conv_template(
Conversation(
name="plain",
system_template="",
system_message="",
roles=("", ""),
messages=(),
offset=0,
sep_style=SeparatorStyle.PLAIN,
sep="",
sep2="",
stop_token_ids=[100001],
stop_str=['</s>'],
)
)
register_conv_template(
Conversation(
name="alignment",
system_template="",
system_message="",
roles=("", ""),
messages=(),
offset=0,
sep_style=SeparatorStyle.ALIGNMENT,
sep="",
sep2="",
stop_token_ids=[100001],
stop_str=['</s>'],
)
)
if __name__ == "__main__":
print("deepseek template:")
conv = get_conv_template("deepseek")
conv.append_message(conv.roles[0], "Hello!")
conv.append_message(conv.roles[1], "Hi! This is Tony.")
conv.append_message(conv.roles[0], "Who are you?")
conv.append_message(conv.roles[1], "I am a helpful assistant.")
conv.append_message(conv.roles[0], "How are you?")
conv.append_message(conv.roles[1], None)
print(conv.get_prompt())
print("deepseekv2 template:")
conv = get_conv_template("deepseekv2")
conv.append_message(conv.roles[0], "Hello!")
conv.append_message(conv.roles[1], "Hi! This is Tony.")
conv.append_message(conv.roles[0], "Who are you?")
conv.append_message(conv.roles[1], "I am a helpful assistant.")
conv.append_message(conv.roles[0], "How are you?")
conv.append_message(conv.roles[1], None)
print(conv.get_prompt())
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