mirror of https://github.com/hpcaitech/ColossalAI
88 lines
2.6 KiB
Python
88 lines
2.6 KiB
Python
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# Copyright 2023 lm-sys@FastChat
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import dataclasses
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from enum import Enum, auto
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from typing import List
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class SeparatorStyle(Enum):
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ADD_EOS_TOKEN = auto()
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@dataclasses.dataclass
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class Conversation:
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system: str
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roles: List[str]
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messages: List[List[str]]
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offset: int
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sep_style: SeparatorStyle = SeparatorStyle.ADD_EOS_TOKEN
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sep: str = "</s>"
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skip_next: bool = False
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def get_prompt(self):
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if self.sep_style == SeparatorStyle.ADD_EOS_TOKEN:
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ret = self.system
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for role, message in self.messages:
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if message:
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ret += role + ": " + message + self.sep
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else:
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ret += role + ": "
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return ret
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else:
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raise ValueError(f"Invalid style: {self.sep_style}")
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def append_message(self, role, message):
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self.messages.append([role, message])
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def to_gradio_chatbot(self):
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ret = []
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for i, (role, msg) in enumerate(self.messages[self.offset:]):
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if i % 2 == 0:
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ret.append([msg, None])
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else:
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ret[-1][-1] = msg
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return ret
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def copy(self):
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return Conversation(system=self.system,
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roles=self.roles,
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messages=[[x, y] for x, y in self.messages],
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offset=self.offset,
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sep_style=self.sep_style,
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sep=self.sep)
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def dict(self):
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return {
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"system": self.system,
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"roles": self.roles,
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"messages": self.messages,
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"offset": self.offset,
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"sep": self.sep
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}
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conv = Conversation(
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system="A chat between a curious human and an artificial intelligence assistant. "
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"The assistant gives helpful, detailed, and polite answers to the human's questions.\n\n",
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roles=("Human", "Assistant"),
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messages=(),
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offset=0,
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sep_style=SeparatorStyle.ADD_EOS_TOKEN,
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sep="</s>",
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)
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default_conversation = conv
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