├── detector ├── VERSION ├── __init__.py └── detector.py ├── requirements.txt ├── extra └── bearer_token.gif ├── setup.py ├── .gitignore ├── README.md └── LICENSE /detector/VERSION: -------------------------------------------------------------------------------- 1 | 0.1.0 -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | requests 2 | numpy -------------------------------------------------------------------------------- /detector/__init__.py: -------------------------------------------------------------------------------- 1 | __version__ = "0.1.0" 2 | from .detector import OpenaiDetector -------------------------------------------------------------------------------- /extra/bearer_token.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/promptslab/openai-detector/HEAD/extra/bearer_token.gif -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | """Python setup.py for package""" 2 | import io 3 | import os 4 | 5 | from setuptools import find_packages, setup 6 | 7 | 8 | def read(*paths, **kwargs): 9 | """Read the contents of a text file safely. 10 | >>> read("project_name", "VERSION") 11 | '0.1.0' 12 | >>> read("README.md") 13 | ... 14 | """ 15 | 16 | content = "" 17 | with io.open( 18 | os.path.join(os.path.dirname(__file__), *paths), 19 | encoding=kwargs.get("encoding", "utf8"), 20 | ) as open_file: 21 | content = open_file.read().strip() 22 | return content 23 | 24 | 25 | def read_requirements(path): 26 | return [line.strip() for line in read(path).split("\n") if not line.startswith(('"', "#", "-", "git+"))] 27 | 28 | 29 | setup( 30 | name="openai-detector", 31 | version="0.1.2", 32 | description="Open AI classifier for indicating AI-written text", 33 | url="https://github.com/promptslab/openai-detector", 34 | long_description=read("README.md"), 35 | long_description_content_type="text/markdown", 36 | license="Apache", 37 | author="monk1337", 38 | maintainer="All our contributors", 39 | packages=find_packages(), 40 | install_requires=["requests","numpy"], 41 | python_requires=">=3.7.0",) 42 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | -------------------------------------------------------------------------------- /detector/detector.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import numpy as np 3 | 4 | 5 | class OpenaiDetector: 6 | 7 | def __init__(self, token): 8 | 9 | self.header = { 10 | 'Accept': '*/*', 11 | 'Accept-Language': 'en-US,en;q=0.9,hi;q=0.8', 12 | 'Authorization': token, 13 | 'Connection': 'keep-alive', 14 | 'Content-Type': 'application/json', 15 | 'Origin': 'https://platform.openai.com', 16 | 'Referer': 'https://platform.openai.com/', 17 | 'Sec-Fetch-Dest': 'empty', 18 | 'Sec-Fetch-Mode': 'cors', 19 | 'Sec-Fetch-Site': 'same-site', 20 | 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36', 21 | 'sec-ch-ua': '"Not_A Brand";v="99", "Google Chrome";v="109", "Chromium";v="109"', 22 | 'sec-ch-ua-mobile': '?0', 23 | 'sec-ch-ua-platform': '"macOS"', 24 | } 25 | 26 | self.possible_classes = ['very unlikely', 'unlikely', 'unclear if it is', 'possibly', 'likely'] 27 | self.class_max = [10, 45, 90, 98, 99] 28 | 29 | def detect(self, text, all_probs=False): 30 | data = { 31 | 'prompt': text + "».\n<|disc_score|>", 32 | 'max_tokens': 1, 33 | 'temperature': 1, 34 | 'top_p': 1, 35 | 'n': 1, 36 | 'logprobs': 5, 37 | 'stop': '\n', 38 | 'stream': False, 39 | 'model': 'model-detect-v2', 40 | } 41 | 42 | response = requests.post('https://api.openai.com/v1/completions', headers=self.header, json=data) 43 | if response.status_code == 200: 44 | choices = response.json()['choices'][0] 45 | logprobs = choices['logprobs']['top_logprobs'][0] 46 | probs = {key: 100 * np.e ** value for key, value in logprobs.items()} 47 | key_prob = probs['"'] 48 | if self.class_max[0] < key_prob < self.class_max[len(self.class_max) - 1]: 49 | val = max(i for i in self.class_max if i < key_prob) 50 | class_label = self.possible_classes[self.class_max.index(val)] 51 | elif self.class_max[0] > key_prob: 52 | class_label = self.possible_classes[0] 53 | else: 54 | class_label = self.possible_classes[len(self.possible_classes) - 1] 55 | top_prob = {'Class': class_label, 'AI-Generated Probability': key_prob} 56 | if all_probs: 57 | return probs, top_prob 58 | return top_prob 59 | return "Check prompt, Length of sentence it should be more than 1,000 characters" 60 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |

Openai Detector

2 |

3 |

Open AI classifier for indicating AI-written text 4 |

5 | 6 | 7 |

8 | 9 | openai-detector is released under the Apache 2.0 license. 10 | 11 | 12 | http://makeapullrequest.com 13 | 14 | 15 | Community 16 | 17 | 18 | colab 19 | 20 |

21 | 22 | ## Installation 23 | 24 | 25 | ```bash 26 | pip3 install openai_detector 27 | ``` 28 | 29 | or 30 | 31 | ```bash 32 | pip3 install git+https://github.com/promptslab/openai-detector.git 33 | ``` 34 | 35 | 36 | ## Usage 37 | 38 | 39 | 40 | ```python 41 | 42 | from detector import OpenaiDetector 43 | 44 | sentence = """All children, except one, grow up. They soon know that they will grow up, and the way Wendy knew was this. One day when she was two years old she was playing in a garden, and she plucked another flower and ran with it to her mother. I suppose she must have looked rather delightful, for Mrs. Darling put her hand to her heart and cried, “Oh, why can’t you remain like this for ever!” This was all that passed between them on the subject, but henceforth Wendy knew that she must grow up. You always know after you are two. Two is the beginning of the end. Of course they lived at 14, and until Wendy came her mother was the chief one. She was a lovely lady, with a romantic mind and such a sweet mocking mouth. Her romantic mind was like the tiny boxes, one within the other, that come from the puzzling East, however many you discover there is always one more; and her sweet mocking mouth had one kiss on it that Wendy could never get, though there it was, perfectly conspicuous in the right-hand corner. The way Mr. Darling won her was this: the many gentlemen who had been boys when she was a girl discovered simultaneously that they loved her, and they all ran to her house to propose to her except Mr. Darling, who took a cab and nipped in first, and so he got her. He got all of her, except the innermost box and the kiss. He never knew about the box, and in time he gave up trying for the kiss. Wendy thought Napoleon could have got it, but I can picture him trying, and then going off in a passion, slamming the door. Mr. Darling used to boast to Wendy that her mother not only loved him but respected him. He was one of those deep ones who know about stocks and shares. Of course no one really knows, but he quite seemed to know, and he often said stocks were up and shares were down in a way that would have made any woman respect him.""" 45 | bearer_token = 'Bearer sess-abcd1234..' 46 | 47 | od = OpenaiDetector(bearer_token) 48 | response = od.detect(sentence) 49 | print(response) 50 | 51 | ### Output 52 | 53 | {"output" : "The classifier considers the text to be very unlikely AI-generated.", 54 | "Confidence score" : 96.15870427207666} 55 | 56 | ``` 57 | 58 | ## Run on colab 59 | 60 | colab 61 | 62 | 63 | ## Community 64 | 65 | If you are interested in Prompt-Engineering, LLMs, ChatGPT and other latest research discussions, please consider joining PromptsLab 66 | 67 | 68 | Join us on Discord 69 | 70 | ## Steps to get Bearer token from chrome 71 | 72 | 73 | - Go to https://platform.openai.com/ai-text-classifier 74 | - Hit F12 to access the Developer tools 75 | - Select the Network Tab 76 | - Select nearly any POST Operation (paste text into detection box and click on submit) 77 | - Find your current Bearer token in the Request Headers 78 | 79 | Here is an example 80 | 81 |
82 | 83 |
84 | 85 | 86 | ## TO-DO 87 | 88 | - Add all classes labels (total 5 classes from openai) ✅ 89 | - add verifier to check if the sentence is 1000 characters long 90 | - automatically detect token from user_name, password 91 | 92 | 93 | ## Web Version 94 | 95 | https://openai.com/blog/new-ai-classifier-for-indicating-ai-written-text/ 96 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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