File size: 5,725 Bytes
256a159 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 |
import time
from concurrent.futures import ThreadPoolExecutor
from typing import Dict, List, Optional, Union
from opencompass.utils.prompt import PromptList
from .base_api import BaseAPIModel
try:
from volcengine.maas import ChatRole, MaasException, MaasService
except ImportError:
ChatRole, MaasException, MaasService = None, None, None
PromptType = Union[PromptList, str]
class ByteDance(BaseAPIModel):
"""Model wrapper around ByteDance.
Args:
path (str): The name of ByteDance model.
e.g. `skylark`
model_type (str): The type of the model
e.g. `chat`
secretkey (str): secretkey in order to obtain access_token
key (str): Authorization key.
query_per_second (int): The maximum queries allowed per second
between two consecutive calls of the API. Defaults to 1.
max_seq_len (int): Unused here.
meta_template (Dict, optional): The model's meta prompt
template if needed, in case the requirement of injecting or
wrapping of any meta instructions.
retry (int): Number of retires if the API call fails. Defaults to 2.
"""
def __init__(self,
path: str,
accesskey: str,
secretkey: str,
url: str,
query_per_second: int = 2,
max_seq_len: int = 2048,
meta_template: Optional[Dict] = None,
retry: int = 2,
generation_kwargs: Dict = {
'temperature': 0.7,
'top_p': 0.9,
'top_k': 0,
}):
super().__init__(path=path,
max_seq_len=max_seq_len,
query_per_second=query_per_second,
meta_template=meta_template,
retry=retry,
generation_kwargs=generation_kwargs)
if not ChatRole:
print('Please install related packages via'
' `pip install volcengine`')
self.accesskey = accesskey
self.secretkey = secretkey
self.url = url
self.model = path
def generate(
self,
inputs: List[str or PromptList],
max_out_len: int = 512,
) -> List[str]:
"""Generate results given a list of inputs.
Args:
inputs (List[str or PromptList]): A list of strings or PromptDicts.
The PromptDict should be organized in OpenCompass'
API format.
max_out_len (int): The maximum length of the output.
Returns:
List[str]: A list of generated strings.
"""
with ThreadPoolExecutor() as executor:
results = list(
executor.map(self._generate, inputs,
[max_out_len] * len(inputs)))
self.flush()
return results
def _generate(
self,
input: str or PromptList,
max_out_len: int = 512,
) -> str:
"""Generate results given an input.
Args:
inputs (str or PromptList): A string or PromptDict.
The PromptDict should be organized in OpenCompass'
API format.
max_out_len (int): The maximum length of the output.
Returns:
str: The generated string.
messages
[
{
"role": ChatRole.USER,
"content": "天为什么这么蓝？"
}, {
"role": ChatRole.ASSISTANT,
"content": "因为有你"
}, {
"role": ChatRole.USER,
"content": "花儿为什么这么香？"
},
]
"""
assert isinstance(input, (str, PromptList))
if isinstance(input, str):
messages = [{'role': ChatRole.USER, 'content': input}]
else:
messages = []
for item in input:
msg = {'content': item['prompt']}
if item['role'] == 'HUMAN':
msg['role'] = ChatRole.USER
elif item['role'] == 'BOT':
msg['role'] = ChatRole.ASSISTANT
messages.append(msg)
maas = MaasService(self.url, 'cn-beijing')
maas.set_ak(self.accesskey)
maas.set_sk(self.secretkey)
req = {
'model': {
'name': 'skylark-pro-public',
},
'messages': messages,
'parameters': self.generation_kwargs
}
def _chat(maas, req):
try:
resp = maas.chat(req)
return resp
except MaasException as e:
print(e)
return e
max_num_retries = 0
while max_num_retries < self.retry:
self.acquire()
response = _chat(maas, req)
self.release()
if response is None:
print('Connection error, reconnect.')
# if connect error, frequent requests will casuse
# continuous unstable network, therefore wait here
# to slow down the request
self.wait()
continue
if not isinstance(response, MaasException):
# response
msg = response.choice.message.content
return msg
if isinstance(response, MaasException):
print(response)
time.sleep(1)
continue
max_num_retries += 1
raise RuntimeError(response)
|