50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
from logging import getLogger
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from typing import Dict, Optional
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import requests
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class GPTZero:
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_GPT_ZERO_ENDPOINT = 'https://api.gptzero.me/v2/predict/text'
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def __init__(self, gpt_zero_key: str):
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self._logger = getLogger(__name__)
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if gpt_zero_key is None:
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self._logger.warning('GPT Zero key was not included! Skipping ai detection when grading.')
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self._gpt_zero_key = gpt_zero_key
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self._header = {
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'x-api-key': gpt_zero_key
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}
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def run_detection(self, text: str):
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if self._gpt_zero_key is None:
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return None
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data = {
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'document': text,
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'version': '',
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'multilingual': False
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}
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response = requests.post(self._GPT_ZERO_ENDPOINT, headers=self._header, json=data)
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if response.status_code != 200:
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return None
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return self._parse_detection(response.json())
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def _parse_detection(self, response: Dict) -> Optional[Dict]:
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try:
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text_scan = response["documents"][0]
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filtered_sentences = [
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{
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"sentence": item["sentence"],
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"highlight_sentence_for_ai": item["highlight_sentence_for_ai"]
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}
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for item in text_scan["sentences"]
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]
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return {
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"class_probabilities": text_scan["class_probabilities"],
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"confidence_category": text_scan["confidence_category"],
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"predicted_class": text_scan["predicted_class"],
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"sentences": filtered_sentences
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}
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except Exception as e:
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self._logger.error(f'Failed to parse GPT\'s Zero response: {str(e)}')
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return None
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