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yuta_hayashi
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Browse files- app.py +34 -0
- requirements.txt +3 -0
app.py
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import gradio as gr
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from anthropic import Anthropic
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import tiktoken
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anthropic = Anthropic()
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gpt_35_encoder = tiktoken.get_encoding("cl100k_base")
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def count_anthropic_tokens(text: str) -> int:
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return anthropic.count_tokens(text)
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def count_gpt_tokens(text: str) -> int:
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return len(gpt_35_encoder.encode(text))
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def tokenize(text: str) -> tuple:
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anthropic_count = count_anthropic_tokens(text)
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gpt_tokens_count = count_gpt_tokens(text)
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char_count = len(text)
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return anthropic_count, gpt_tokens_count, char_count
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counter = gr.Interface(
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title="Token and Character Counter",
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fn=tokenize,
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inputs=gr.Textbox(lines=10, placeholder="Input Text"),
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outputs=[
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gr.Number(label="Anthropic API (Claude) Token Count", interactive=False),
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gr.Number(label="OpenAI API (GPT-3.5 / GPT-4) Token Count", interactive=False),
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gr.Number(label="Character Count", interactive=False)
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],
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live=True,
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allow_flagging="never",
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)
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counter.launch(debug=True)
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requirements.txt
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gradio
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anthropic
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tiktoken
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