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IntelligenzaArtificiale
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
from langchain.llms.base import LLM
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from typing import Optional, List, Mapping, Any
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import t3nsor
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class gpt3NoInternet(LLM):
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messages: Optional[List[Mapping[str, Any]]] = []
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@property
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def _llm_type(self) -> str:
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return "custom"
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def _call(self, prompt: str, stop: Optional[List[str]] = None) -> str:
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if stop is not None:
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raise ValueError("stop kwargs are not permitted.")
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t3nsor_cmpl = t3nsor.Completion.create(
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prompt = prompt,
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messages = self.messages
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)
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response = t3nsor_cmpl.completion.choices[0].text
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self.messages.append({'role': 'user', 'content': prompt})
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self.messages.append({'role': 'assistant', 'content': response})
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return response
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@property
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def _identifying_params(self) -> Mapping[str, Any]:
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"""Get the identifying parameters."""
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return {"model": "GPT3.5Turbo"}
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#llm = gpt3NoInternet()
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#print(llm("Hello, how are you?"))
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#print(llm("what is AI?"))
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#print(llm("how have i question in before?"))
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