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[Feature] Allow explicitly setting the temperature for API model #121

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merged 2 commits into from
Jul 28, 2023
Merged

[Feature] Allow explicitly setting the temperature for API model #121

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4be9f0b
allow explicitly setting the temperature
kennymckormick Jul 27, 2023
c852c6a
update
kennymckormick Jul 27, 2023
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30 changes: 19 additions & 11 deletions opencompass/models/openai_api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@
from .base_api import BaseAPIModel

PromptType = Union[PromptList, str]
OPENAI_API_BASE = 'https://api.openai.com/v1/chat/completions'


@MODELS.register_module()
Expand Down Expand Up @@ -40,28 +41,32 @@ class OpenAI(BaseAPIModel):
wrapping of any meta instructions.
openai_api_base (str): The base url of OpenAI's API. Defaults to
'https://api.openai.com/v1/chat/completions'.
temperature (float, optional): What sampling temperature to use.
If not None, will override the temperature in the `generate()`
call. Defaults to None.
"""

is_api: bool = True

def __init__(
self,
path: str,
max_seq_len: int = 2048,
query_per_second: int = 1,
retry: int = 2,
key: Union[str, List[str]] = 'ENV',
org: Optional[Union[str, List[str]]] = None,
meta_template: Optional[Dict] = None,
openai_api_base: str = 'https://api.openai.com/v1/chat/completions'
): # noqa
def __init__(self,
path: str,
max_seq_len: int = 2048,
query_per_second: int = 1,
retry: int = 2,
key: Union[str, List[str]] = 'ENV',
org: Optional[Union[str, List[str]]] = None,
meta_template: Optional[Dict] = None,
openai_api_base: str = OPENAI_API_BASE,
temperature: Optional[float] = None):

super().__init__(path=path,
max_seq_len=max_seq_len,
meta_template=meta_template,
query_per_second=query_per_second,
retry=retry)
import tiktoken
self.tiktoken = tiktoken
self.temperature = temperature

if isinstance(key, str):
self.keys = [os.getenv('OPENAI_API_KEY') if key == 'ENV' else key]
Expand Down Expand Up @@ -96,6 +101,9 @@ def generate(
Returns:
List[str]: A list of generated strings.
"""
if self.temperature is not None:
temperature = self.temperature

with ThreadPoolExecutor() as executor:
results = list(
executor.map(self._generate, inputs,
Expand Down