from transformers import pipeline

bot = pipeline('text-generation', model='EleutherAI/gpt-neo-2.7B')

while True:
    reply1 = "What is your question?"
    print(reply1)
    user_response = input()
    reply2 = "What do you want the answer to be?"
    print(reply2)
    user_response = input()
    reply3 = "That is the answer. As your intuition is simply what you want. What is your next question?"
    
    # Generate bot response using Hugging Face's inference API
    bot_response = bot(reply1 + "\n" + user_response + "\n" + reply2 + "\n" + user_response + "\n" + reply3, max_length=100)
    print(bot_response[0]['generated_text'].split(reply1)[-1].split(reply2)[0].strip())


{}
region:us
TAGS
#region-us 

from transformers import pipeline

bot = pipeline('text-generation', model='EleutherAI/gpt-neo-2.7B')

while True:
    reply1 = "What is your question?"
    print(reply1)
    user_response = input()
    reply2 = "What do you want the answer to be?"
    print(reply2)
    user_response = input()
    reply3 = "That is the answer. As your intuition is simply what you want. What is your next question?"
    
    # Generate bot response using Hugging Face's inference API
    bot_response = bot(reply1 + "\n" + user_response + "\n" + reply2 + "\n" + user_response + "\n" + reply3, max_length=100)
    print(bot_response[0]['generated_text'].split(reply1)[-1].split(reply2)[0].strip())


# Generate bot response using Hugging Face's inference API
    bot_response = bot(reply1 + "\n" + user_response + "\n" + reply2 + "\n" + user_response + "\n" + reply3, max_length=100)
    print(bot_response[0]['generated_text'].split(reply1)[-1].split(reply2)[0].strip())
TAGS
#region-us 
 # Generate bot response using Hugging Face's inference API
    bot_response = bot(reply1 + "\n" + user_response + "\n" + reply2 + "\n" + user_response + "\n" + reply3, max_length=100)
    print(bot_response[0]['generated_text'].split(reply1)[-1].split(reply2)[0].strip())