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import gradio as gr | |
import tiktoken | |
encodings = tiktoken.list_encoding_names() | |
encodings.reverse() | |
def calc(input: str, encoding: str) -> (int, int): | |
tokens = tiktoken.get_encoding(encoding).encode(input) | |
return len(input), len(tokens) | |
gr.Interface( | |
calc, | |
inputs=[ | |
gr.Text(label="Input", lines=6, placeholder="Enter text here..."), | |
gr.Dropdown( | |
label="Encoding", | |
choices=encodings, | |
value="cl100k_base", | |
info="The encoding to use. (GPT-3.5 and GPT-4 use cl100k_base as their encoding.)", | |
), | |
], | |
outputs=[ | |
gr.Number(label="Character Count"), | |
gr.Number(label="Token Count"), | |
], | |
title="Token and Character Calculator Counter", | |
allow_flagging="never", | |
).launch() | |