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"""
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Conversation prompt template.
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"""
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import dataclasses
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from enum import auto, Enum
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from typing import List, Tuple, Any
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class SeparatorStyle(Enum):
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"""Different separator style."""
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SINGLE = auto()
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TWO = auto()
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DOLLY = auto()
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OASST_PYTHIA = auto()
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BAIZE = auto()
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@dataclasses.dataclass
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class Conversation:
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"""A class that keeps all conversation history."""
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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.SINGLE
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sep: str = "###"
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sep2: str = None
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conv_id: Any = None
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skip_next: bool = False
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model_name: str = None
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def get_prompt(self):
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if self.sep_style == SeparatorStyle.SINGLE:
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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 += self.sep + " " + role + ": " + message
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else:
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ret += self.sep + " " + role + ":"
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return ret
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elif self.sep_style == SeparatorStyle.TWO:
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seps = [self.sep, self.sep2]
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ret = self.system + seps[0]
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for i, (role, message) in enumerate(self.messages):
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if message:
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ret += role + ": " + message + seps[i % 2]
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else:
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ret += role + ":"
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return ret
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elif self.sep_style == SeparatorStyle.DOLLY:
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seps = [self.sep, self.sep2]
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ret = self.system
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for i, (role, message) in enumerate(self.messages):
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if message:
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ret += role + ":\n" + message + seps[i % 2]
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if i % 2 == 1:
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ret += "\n\n"
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else:
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ret += role + ":\n"
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return ret
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elif self.sep_style == SeparatorStyle.OASST_PYTHIA:
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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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elif self.sep_style == SeparatorStyle.BAIZE:
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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 += "\n" + role + message
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else:
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ret += "\n" + 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(
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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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sep2=self.sep2,
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conv_id=self.conv_id,
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model_name=self.model_name,
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)
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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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"sep2": self.sep2,
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"conv_id": self.conv_id,
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"model_name": self.model_name,
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}
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conv_one_shot = 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.",
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roles=("Human", "Assistant"),
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messages=(
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(
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"Human",
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"What are the key differences between renewable and non-renewable energy sources?",
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),
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(
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"Assistant",
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"Renewable energy sources are those that can be replenished naturally in a relatively "
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"short amount of time, such as solar, wind, hydro, geothermal, and biomass. "
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"Non-renewable energy sources, on the other hand, are finite and will eventually be "
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"depleted, such as coal, oil, and natural gas. Here are some key differences between "
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"renewable and non-renewable energy sources:\n"
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"1. Availability: Renewable energy sources are virtually inexhaustible, while non-renewable "
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"energy sources are finite and will eventually run out.\n"
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"2. Environmental impact: Renewable energy sources have a much lower environmental impact "
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"than non-renewable sources, which can lead to air and water pollution, greenhouse gas emissions, "
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"and other negative effects.\n"
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"3. Cost: Renewable energy sources can be more expensive to initially set up, but they typically "
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"have lower operational costs than non-renewable sources.\n"
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"4. Reliability: Renewable energy sources are often more reliable and can be used in more remote "
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"locations than non-renewable sources.\n"
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"5. Flexibility: Renewable energy sources are often more flexible and can be adapted to different "
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"situations and needs, while non-renewable sources are more rigid and inflexible.\n"
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"6. Sustainability: Renewable energy sources are more sustainable over the long term, while "
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"non-renewable sources are not, and their depletion can lead to economic and social instability.",
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),
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),
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offset=2,
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sep_style=SeparatorStyle.SINGLE,
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sep="###",
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)
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conv_husky = Conversation(
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system="",
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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.TWO,
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sep=" ",
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sep2="</s>",
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)
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conv_multi_model = Conversation(
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system="",
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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.TWO,
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sep=" ",
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sep2="</s>",
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)
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conv_templates = {
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"conv_one_shot": conv_one_shot,
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"husky": conv_husky,
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"multi_model": conv_multi_model,
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}
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def get_default_conv_template(model_name):
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model_name = model_name.lower()
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if "husky" in model_name or "llama" in model_name:
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return conv_husky
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elif "multi_model" in model_name or "vision" in model_name:
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return conv_multi_model
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return conv_one_shot
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def compute_skip_echo_len(model_name, conv, prompt):
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model_name = model_name.lower()
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if "husky" in model_name:
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skip_echo_len = len(prompt) - prompt.count("</s>") * 3
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else:
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skip_echo_len = len(prompt) + 1 - prompt.count("</s>") * 3
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return skip_echo_len
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if __name__ == "__main__":
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default_conversation = conv_templates["husky"]
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print(default_conversation.get_prompt())
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