#!/usr/bin/env python
import transformers import AutoModelWithLMHead, AutoTokenizer, TextGenerator
# import sleekxmpp

model_name = "gpt-neox-20b"

model = AutoModelWithLMHead.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
generator = TextGenerator(model=model, tokenizer=tokenizer)

def generate_response(input_text):
  response = model.generate(
    input_ids=input_text,
    max_length=1024,
    temperature=0.7,
  )
  return response

# Get user input and generate a response
user_input = input("User: ")
response = generate_response(user_input)
print("Bot: ", response)

"""
# Set up the XMPP client
client = sleekxmpp.ClientXMPP(
  "ava@simatime.com",
  "test"
)
client.connect()
client.process(block=True)

# Define a function that takes in a user's input and returns a response
def generate_response(input_text):
  # You would use your language model to generate a response here
  response = "This is a response to the user's input: " + input_text
  return response

# Handle incoming messages
@client.add_event_handler("message")
def handle_message(message):
  # Get the user's input
  user_input = message["body"]

  # Generate a response
  response = generate_response(user_input)

  # Send the response to the user
  message.reply(response).send()
"""