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import sys
from .typing import MetaModels, Union
from . import Provider
class Model(metaclass=MetaModels):
class model:
name: str
base_provider: str
best_site: str
class gpt_35_turbo:
name: str = 'gpt-3.5-turbo'
base_provider: str = 'openai'
best_site: Provider.Provider = Provider.Forefront
class gpt_4:
name: str = 'gpt-4'
base_provider: str = 'openai'
best_site: Provider.Provider = Provider.Bing
class davinvi_003:
name: str = 'davinvi-003'
base_provider: str = 'openai'
best_site: Provider.Provider = Provider.Vercel
class Utils:
convert: dict = {
'gpt-3.5-turbo': Model.gpt_35_turbo,
'gpt-4': Model.gpt_4
}
class ChatCompletion:
@staticmethod
def create(model: Model.model or str, messages: list, provider: Provider.Provider = None, stream: bool = False, **kwargs):
try:
if isinstance(model, str):
model = Utils.convert[model]
engine = model.best_site if not provider else provider
if not engine.supports_stream and stream:
print(
f"ValueError: {engine.__name__} does not support 'stream' argument", file=sys.stderr)
sys.exit(1)
return (engine._create_completion(model.name, messages, stream, **kwargs)
if stream else ''.join(engine._create_completion(model.name, messages, stream, **kwargs)))
except TypeError as e:
print(e)
arg: str = str(e).split("'")[1]
print(
f"ValueError: {engine.__name__} does not support '{arg}' argument", file=sys.stderr)
sys.exit(1)
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