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https://github.com/yihong0618/bilingual_book_maker.git
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51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
import re
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import requests
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from rich import print
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from .base_translator import Base
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class GPT3(Base):
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def __init__(
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self, key, language, api_base=None, prompt_template=None, **kwargs
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) -> None:
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super().__init__(key, language)
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self.api_url = (
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f"{api_base}v1/completions"
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if api_base
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else "https://api.openai.com/v1/completions"
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)
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self.headers = {
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"Content-Type": "application/json",
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}
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# TODO support more models here
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self.data = {
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"prompt": "",
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"model": "text-davinci-003",
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"max_tokens": 1024,
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"temperature": 1,
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"top_p": 1,
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}
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self.session = requests.session()
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self.language = language
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self.prompt_template = (
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prompt_template or "Please help me to translate, `{text}` to {language}"
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)
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def rotate_key(self):
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self.headers["Authorization"] = f"Bearer {next(self.keys)}"
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def translate(self, text):
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print(text)
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self.rotate_key()
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self.data["prompt"] = self.prompt_template.format(
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text=text,
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language=self.language,
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)
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r = self.session.post(self.api_url, headers=self.headers, json=self.data)
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if not r.ok:
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return text
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t_text = r.json().get("choices")[0].get("text", "").strip()
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print("[bold green]" + re.sub("\n{3,}", "\n\n", t_text) + "[/bold green]")
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return t_text
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