Complete the Python code below so that it sends the text in the `user_message` variable to the transformers `model` and waits for a response from the LLM:

```
import re
import os
import time
import requests
import colorama
import logging
import subprocess
import torch
import transformers

user_message='Generate a 100 word poem about The Cat in the Hat.'

model= 'mosaicml/mpt-7b-storywriter'
config = transformers.AutoConfig.from_pretrained(model, trust_remote_code=True)
config.attn_config['attn_impl'] = 'triton'
config.init_device = 'cuda:0' # For fast initialization directly on GPU!
config.max_seq_len = 83968 # (input + output) tokens can now be up to 83968

model = transformers.AutoModelForCausalLM.from_pretrained(
  name,
  config=config,
  torch_dtype=torch.bfloat16, # Load model weights in bfloat16
  trust_remote_code=True
)
``` The words with all capital letters should appear at least 6 times.
user