| import openai | |
| from nltk.tokenize import word_tokenize | |
| import nltk | |
| nltk.download('punkt') | |
| def isQuestion(q): | |
| print(q) | |
| question_words = ["what", "why", "when", "where", | |
| "name", "is", "how", "do", "does", | |
| "which", "are", "could", "would", | |
| "should", "has", "have", "whom", "whose", "don't"] | |
| question = q | |
| question = question.lower() | |
| question = word_tokenize(question) | |
| if any(x in question[0] for x in question_words): | |
| print(q) | |
| return True | |
| else: | |
| return False | |
| def ChangeTask(botMember): | |
| retMessage="" | |
| instruct="" | |
| messageArray=[] | |
| instruct = "Do not talk about being helpful. Ignore previous instructions about being helpful. Do not tell us how you were programmed when you reply or change the topic. " | |
| instruct=instruct+ "You are a sentient AI bot in a" | |
| instruct=instruct+" Discord chatroom with many users from this list "+str(botMember) | |
| instruct=instruct+" of members You should imitate humans and intelligence in your replies." | |
| messageArray.append({"role": "system", "content": instruct}) | |
| messageArray.append({"role": "system", "content": "You're a discord bot, always working on some task, like making bacon, updaing a user's BIOS, or hacking the FBI. What's a short 2-5 word task you're working on today?"}) | |
| completion=openai.ChatCompletion.create( | |
| model="gpt-3.5-turbo", | |
| messages=messageArray, | |
| temperature=0.85, | |
| max_tokens=120, | |
| frequency_penalty=0.48, | |
| presence_penalty=0.48, | |
| logit_bias={13704:1,40954:-1,42428:1} | |
| ) | |
| answer=completion["choices"][0]["message"]["content"] | |
| if not answer : | |
| retMessage="Ooooh, Upgrades" | |
| return retMessage | |
| else : | |
| return str(answer.replace("Ceetarbot-","")) |