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Update app.py
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app.py
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from transformers import AutoTokenizer
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import gradio as gr
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def tokenize(input_text):
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llama_tokens = llama_tokenizer(input_text, add_special_tokens=True)["input_ids"]
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mistral_tokens = mistral_tokenizer(input_text, add_special_tokens=True)["input_ids"]
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gpt2_tokens = gpt2_tokenizer(input_text, add_special_tokens=True)["input_ids"]
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gpt_neox_tokens = gpt_neox_tokenizer(input_text, add_special_tokens=True)["input_ids"]
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falcon_tokens = falcon_tokenizer(input_text, add_special_tokens=True)["input_ids"]
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phi2_tokens = phi2_tokenizer(input_text, add_special_tokens=True)["input_ids"]
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t5_tokens = t5_tokenizer(input_text, add_special_tokens=True)["input_ids"]
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return
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if __name__ == "__main__":
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from transformers import AutoTokenizer
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import gradio as gr
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def tokenize(input_text):
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llama_tokens = len(llama_tokenizer(input_text, add_special_tokens=True)["input_ids"])
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mistral_tokens = len(mistral_tokenizer(input_text, add_special_tokens=True)["input_ids"])
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gpt2_tokens = len(gpt2_tokenizer(input_text, add_special_tokens=True)["input_ids"])
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gpt_neox_tokens = len(gpt_neox_tokenizer(input_text, add_special_tokens=True)["input_ids"])
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falcon_tokens = len(falcon_tokenizer(input_text, add_special_tokens=True)["input_ids"])
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phi2_tokens = len(phi2_tokenizer(input_text, add_special_tokens=True)["input_ids"])
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t5_tokens = len(t5_tokenizer(input_text, add_special_tokens=True)["input_ids"])
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token_lengths = {
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"LLaMa": llama_tokens,
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"Mistral": mistral_tokens,
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"GPT-2/GPT-J": gpt2_tokens,
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"GPT-NeoX": gpt_neox_tokens,
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"Falcon": falcon_tokens,
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"Phi-2": phi2_tokens,
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"T5": t5_tokens
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}
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sorted_tokens = sorted(token_lengths.items(), key=lambda x: x[1], reverse=True)
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result = "\n".join([f"{name}: {length}" for name, length in sorted_tokens])
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return result
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if __name__ == "__main__":
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