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import re
from pprint import pprint
class MessageComposer:
"""
models:
- mixtral-8x7b (mistralai/Mixtral-8x7B-Instruct-v0.1)
"""
def __init__(self, model: str = None):
self.inst_roles = ["user", "system", "inst"]
self.answer_roles = ["assistant", "bot", "answer"]
def concat_messages_by_role(self, messages):
def is_same_role(role1, role2):
if (
(role1 == role2)
or (role1 in self.inst_roles and role2 in self.inst_roles)
or (role1 in self.answer_roles and role2 in self.answer_roles)
):
return True
else:
return False
concat_messages = []
for message in messages:
role = message["role"]
content = message["content"]
if concat_messages and is_same_role(role, concat_messages[-1]["role"]):
concat_messages[-1]["content"] += "\n" + content
else:
if role in self.inst_roles:
message["role"] = "inst"
elif role in self.answer_roles:
message["role"] = "answer"
else:
message["role"] = "inst"
concat_messages.append(message)
return concat_messages
def merge(self, messages) -> str:
# <s> [INST] Instruction [/INST] Model answer </s> [INST] Follow-up instruction [/INST]
self.messages = self.concat_messages_by_role(messages)
self.merged_str = ""
self.cached_str = ""
for message in self.messages:
role = message["role"]
content = message["content"]
if role in self.inst_roles:
self.cached_str = f"[INST] {content} [/INST]"
elif role in self.answer_roles:
self.merged_str += f"<s> {self.cached_str} {content} </s>\n"
self.cached_str = ""
else:
self.cached_str = f"[INST] {content} [/INST]"
if self.cached_str:
self.merged_str += f"{self.cached_str}"
return self.merged_str
def split(self, merged_str) -> list:
self.messages = []
self.merged_str = merged_str
pair_pattern = (
r"<s>\s*\[INST\](?P<inst>[\s\S]*?)\[/INST\](?P<answer>[\s\S]*?)</s>"
)
pair_matches = re.finditer(pair_pattern, self.merged_str, re.MULTILINE)
pair_matches_list = list(pair_matches)
if len(pair_matches_list) <= 0:
self.messages = [
{
"role": "user",
"content": self.merged_str,
}
]
else:
for match in pair_matches_list:
inst = match.group("inst")
answer = match.group("answer")
self.messages.extend(
[
{"role": "user", "content": inst.strip()},
{"role": "assistant", "content": answer.strip()},
]
)
inst_pattern = r"\[INST\](?P<inst>[\s\S]*?)\[/INST\]"
inst_matches = re.finditer(inst_pattern, self.merged_str, re.MULTILINE)
inst_matches_list = list(inst_matches)
if len(inst_matches_list) > len(pair_matches_list):
self.messages.extend(
[
{
"role": "user",
"content": inst_matches_list[-1].group("inst").strip(),
}
]
)
return self.messages
if __name__ == "__main__":
composer = MessageComposer()
messages = [
{
"role": "system",
"content": "You are a LLM developed by OpenAI. Your name is GPT-4.",
},
{"role": "user", "content": "Hello, who are you?"},
{"role": "assistant", "content": "I am a bot."},
# {"role": "user", "content": "What is your name?"},
{"role": "assistant", "content": "My name is Bing."},
# {"role": "user", "content": "Tell me a joke."},
# {"role": "assistant", "content": "What is a robot's favorite type of music?"},
# {
# "role": "user",
# "content": "How many questions have I asked? Please list them.",
# },
]
merged_str = composer.merge(messages)
print(merged_str)
pprint(composer.split(merged_str))
# print(composer.merge(composer.split(merged_str)))
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