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#!/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()
"""
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