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import dataclasses
from enum import auto, Enum
from typing import List, Tuple, Any
class SeparatorStyle(Enum):
"""Different separator style."""
SINGLE = auto()
TWO = auto()
@dataclasses.dataclass
class Conversation:
"""A class that keeps all conversation history."""
system: str
instruction: str
roles: List[str]
messages: List[List[str]]
offset: int
sep_style: SeparatorStyle = SeparatorStyle.SINGLE
sep: str = "###"
sep2: str = None
skip_next: bool = False
conv_id: Any = None
def get_prompt(self):
if self.sep_style == SeparatorStyle.SINGLE:
ret = self.system + self.sep
if self.instruction is not None and len(self.instruction) > 0:
ret += self.roles[2] + ": " + self.instruction + self.sep
for role, message in self.messages:
if message:
ret += role + ": " + message + self.sep
else:
ret += role + ":"
return ret
elif self.sep_style == SeparatorStyle.TWO:
seps = [self.sep, self.sep2]
ret = self.system + seps[0]
if self.instruction is not None and len(self.instruction) > 0:
ret += self.roles[2] + ": " + self.instruction + self.sep
for i, (role, message) in enumerate(self.messages):
if message:
ret += role + ": " + message + seps[i % 2]
else:
ret += role + ":"
return ret
else:
raise ValueError(f"Invalid style: {self.sep_style}")
def append_message(self, role, message):
self.messages.append([role, message])
def to_gradio_chatbot(self):
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 copy(self):
return Conversation(
system=self.system,
instruction=self.instruction,
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,
conv_id=self.conv_id)
def dict(self):
return {
"system": self.system,
"instruction": self.instruction,
"roles": self.roles,
"messages": self.messages,
"offset": self.offset,
"sep": self.sep,
"sep2": self.sep2,
"conv_id": self.conv_id,
}
conv_v1 = Conversation(
system="A chat between a curious human and an artificial intelligence assistant. "
"The assistant gives helpful, detailed, and polite answers to the human's questions.",
instruction="",
roles=("Human", "Assistant", "System"),
messages=(),
offset=0,
sep_style=SeparatorStyle.SINGLE,
sep="###",
)
conv_v1_2 = Conversation(
system="A chat between a curious human and an artificial intelligence assistant. "
"The assistant gives helpful, detailed, and polite answers to the human's questions.",
instruction="",
roles=("Human", "Assistant", "System"),
messages=(),
offset=0,
sep_style=SeparatorStyle.SINGLE,
sep="###",
)
conv_bair_v1 = Conversation(
system="BEGINNING OF CONVERSATION:",
instruction="",
roles=("USER", "GPT", "System"),
messages=(),
offset=0,
sep_style=SeparatorStyle.TWO,
sep=" ",
sep2="</s>",
)
default_conversation = conv_v1_2
conv_templates = {
"v1": conv_v1_2,
"bair_v1": conv_bair_v1,
}
def covert_prompt_to_input_ids_with_history(text, history, tokenizer, max_token):
conv = default_conversation.copy()
conv.append_message(conv.roles[1], None)
conv.append_message(conv.roles[0], text)
example = tokenizer.encode_plus(f"{conv.get_prompt()}", None, max_length=None)['input_ids']
while(len(history) > 0 and (len(example) < max_token)):
tmp = history.pop()
if tmp[0] == 'ASSISTANT':
conv.append_message(conv.roles[1], tmp[1])
else:
conv.append_message(conv.roles[0], tmp[1])
example = tokenizer.encode_plus(f"{conv.get_prompt()}", None, max_length=None)['input_ids']
if len(example) >= max_token:
conv.messages.pop()
conv.messages = conv.messages[::-1]
print('model in:', conv.get_prompt())
example = tokenizer.encode_plus(f"{conv.get_prompt()}", None, max_length=None)['input_ids']
example = example[1:-1]
return example
if __name__ == "__main__":
print(default_conversation.get_prompt())
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