mirror of
https://github.com/IntelligenzaArtificiale/Free-Auto-GPT.git
synced 2026-07-03 13:15:41 +02:00
IntelligenzaArtificiale
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
from langchain.llms.base import LLM
|
|
from typing import Optional, List, Mapping, Any
|
|
import quora
|
|
import pydantic
|
|
|
|
|
|
class GPT4QUORA(LLM):
|
|
|
|
token: Optional[quora.Account] = quora.Account.create(logging = True, enable_bot_creation=True)
|
|
|
|
|
|
|
|
@property
|
|
def _llm_type(self) -> str:
|
|
return "custom"
|
|
|
|
def _call(self, prompt: str, stop: Optional[List[str]] = None) -> str:
|
|
if stop is not None:
|
|
raise ValueError("stop kwargs are not permitted.")
|
|
|
|
# GPT4 have one limit request for account , try to buypass this limit
|
|
response = quora.Completion.create(model = 'gpt-3.5-turbo',
|
|
prompt = prompt,
|
|
token = self.token)
|
|
|
|
|
|
text = response.completion.choices[0].text
|
|
|
|
return text
|
|
|
|
@property
|
|
def _identifying_params(self) -> Mapping[str, Any]:
|
|
"""Get the identifying parameters."""
|
|
return {"conversation_id": self.token}
|
|
|
|
|
|
llm = GPT4ORA()
|
|
|
|
print(llm("Hello, how are you?"))
|
|
#print(llm("what is AI?"))
|
|
#print(llm("how have i question in before?")) |