<jupyter_start><jupyter_text>Generate text based on a conditioning text<jupyter_code># Text below from 'The Onion'
interact_model(
    length=90,
    nsamples=3,
    raw_text="NEW YORK—At 4:32 p.m. Tuesday, every single resident of New York City decided to evacuate the famed metropolis, having realized it was nothing more than a massive, trash-ridden hellhole that slowly sucks the life out of every one of its inhabitants.")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.06783369803063458, 'fraction_numerical': 0.01312910284463895, 'mean_word_length': 5.361111111111111, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '183254', 'license': 'Apache-2.0', 'n_tokens_mistral': 142, 'n_tokens_neox': 134, 'n_words': 56, 'path': 'examples/easy_gpt_demo.ipynb', 'repo_name': 'JingQian87/applied-dl', 'size': '457'}