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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-","")) |