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Running
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Zero
File size: 8,550 Bytes
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import dataclasses
from enum import auto, Enum
from typing import List, Any, Union, Tuple
import base64
from io import BytesIO
from PIL import Image
class SeparatorStyle(Enum):
"""Different separator style."""
TWO = auto()
PLAIN = auto()
CHATML = auto()
LLAMA_2 = auto()
LLAMA_3 = auto()
QWEN2 = auto()
@dataclasses.dataclass
class Conversation:
"""A class that keeps all conversation history."""
system: str
roles: List[str]
messages: List[List[str]]
offset: int
sep_style: SeparatorStyle = SeparatorStyle.PLAIN
sep: str = "###"
sep2: str = None
version: str = "Unknown"
tokenizer_id: str = ""
tokenizer: Any = None
# Stop criteria (the default one is EOS token)
stop_str: Union[str, List[str]] = None
# Stops generation if meeting any token in this list
stop_token_ids: List[int] = None
skip_next: bool = False
def get_prompt(self):
messages = self.messages
if self.sep_style == SeparatorStyle.TWO:
seps = [self.sep, self.sep2]
ret = self.system + seps[0]
for i, (role, message) in enumerate(messages):
if message:
if type(message) is tuple:
message = message[0]
ret += role + ": " + message + seps[i % 2]
else:
ret += role + ":"
elif self.sep_style == SeparatorStyle.LLAMA_3:
wrap_sys = lambda msg: f"<|start_header_id|>system<|end_header_id|>\n\n{msg}<|eot_id|>" if len(msg) > 0 else msg
ret = "<|begin_of_text|>" + wrap_sys(self.system)
for i, (role, message) in enumerate(messages):
if message:
if type(message) is tuple:
message = message[0]
ret += f"<|start_header_id|>{role}<|end_header_id|>\n\n"
ret += message.strip() + self.sep2
else:
ret += f"<|start_header_id|>{role}<|end_header_id|>\n\n"
return ret
elif self.sep_style == SeparatorStyle.LLAMA_2:
wrap_sys = lambda msg: f"<<SYS>>\n{msg}\n<</SYS>>\n\n" if len(msg) > 0 else msg
wrap_inst = lambda msg: f"[INST] {msg} [/INST]"
ret = ""
for i, (role, message) in enumerate(messages):
if i == 0:
assert message, "first message should not be none"
assert role == self.roles[0], "first message should come from user"
if message:
if type(message) is tuple:
message, _, _ = message
if i == 0:
message = wrap_sys(self.system) + message
if i % 2 == 0:
message = wrap_inst(message)
ret += self.sep + message
else:
ret += " " + message + " " + self.sep2
else:
ret += ""
ret = ret.lstrip(self.sep)
elif self.sep_style == SeparatorStyle.PLAIN:
seps = [self.sep, self.sep2]
ret = self.system
for i, (role, message) in enumerate(messages):
if message:
if type(message) is tuple:
message, _, _ = message
ret += message + seps[i % 2]
else:
ret += ""
elif self.sep_style == SeparatorStyle.CHATML:
ret = "" if self.system == "" else self.system + self.sep + "\n"
for role, message in messages:
if message:
if type(message) is tuple:
raise ValueError("Tuple not supported in CHATML")
message, images = message
message = "<speech>" * len(images) + message
ret += role + "\n" + message + self.sep + "\n"
else:
ret += role + "\n"
return ret
elif self.sep_style == SeparatorStyle.QWEN2:
start = '<|im_start|>'
end = '<|im_end|>\n'
ret = start + 'system\n' + self.system + end
for i, (role, message) in enumerate(messages):
if message:
if type(message) is tuple:
message, _, _ = message
if message.endswith('<|endoftext|>'):
message = message.replace('<|endoftext|>', '')
ret += start + role + "\n" + message + end + '<|endoftext|>'
else:
assert not '<|endoftext|>' in message, f"Invalid message: {message}"
ret += start + role + "\n" + message + end
else:
ret += start + role + "\n"
else:
raise ValueError(f"Invalid style: {self.sep_style}")
return ret
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:
if type(msg) is tuple:
msg, speech = msg
ret.append([msg, None])
else:
ret.append([msg, None])
else:
ret[-1][-1] = msg
return ret
def copy(self):
return Conversation(
system=self.system,
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,
version=self.version)
def dict(self):
if len(self.get_images()) > 0:
return {
"system": self.system,
"roles": self.roles,
"messages": [[x, y[0] if type(y) is tuple else y] for x, y in self.messages],
"offset": self.offset,
"sep": self.sep,
"sep2": self.sep2,
}
return {
"system": self.system,
"roles": self.roles,
"messages": self.messages,
"offset": self.offset,
"sep": self.sep,
"sep2": self.sep2,
}
conv_vicuna_v1 = Conversation(
system="A chat between a curious user and an artificial intelligence assistant. " "The assistant gives helpful, detailed, and polite answers to the user's questions.",
roles=("USER", "ASSISTANT"),
version="v1",
messages=[],
offset=0,
sep_style=SeparatorStyle.TWO,
sep=" ",
sep2="</s>",
)
conv_llama_2 = Conversation(
system="You are a helpful language and speech assistant. " "You are able to understand the speech content that the user provides, " "and assist the user with a variety of tasks using natural language.",
roles=("USER", "ASSISTANT"),
version="llama_v2",
messages=[],
offset=0,
sep_style=SeparatorStyle.LLAMA_2,
sep="<s>",
sep2="</s>",
)
conv_llama_3 = Conversation(
system="You are a helpful language and speech assistant. " "You are able to understand the speech content that the user provides, " "and assist the user with a variety of tasks using natural language.",
roles=("user", "assistant"),
version="llama_v3",
messages=[],
offset=0,
sep_style=SeparatorStyle.LLAMA_3,
sep="",
sep2="<|eot_id|>"
)
conv_qwen_v1 = Conversation(
system="You are a helpful assistant.",
roles=("user", "assistant"),
version="v1",
messages=(),
offset=0,
sep_style=SeparatorStyle.QWEN2,
)
conv_plain = Conversation(
system="",
roles=("", ""),
messages=(
),
offset=0,
sep_style=SeparatorStyle.PLAIN,
sep="</s>",
)
conv_qwen = Conversation(
system="""<|im_start|>system
You are a helpful assistant.""",
roles=("<|im_start|>user", "<|im_start|>assistant"),
version="qwen",
messages=[],
offset=0,
sep_style=SeparatorStyle.CHATML,
sep="<|im_end|>",
)
default_conversation = conv_llama_3
conv_templates = {
"v1": conv_vicuna_v1,
"plain": conv_plain,
"llama_2": conv_llama_2,
"llama_3": conv_llama_3,
'v1_qwen2': conv_qwen_v1,
"qwen_1_5": conv_qwen,
}
if __name__ == "__main__":
print(default_conversation.get_prompt())
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