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e31f7ff 8998794 67cc5ab 755f1fa e31f7ff 755f1fa 67cc5ab 8998794 67cc5ab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | from fastapi import FastAPI
from typing import Union
import tiktoken
import json
app = FastAPI()
@app.get("/")
def index():
return "hello world"
@app.get("/tokenizer/tokens")
def tokens_size(content: Union[str, None] = None):
print(content)
return f"""{num_tokens_from_messages(json.loads(content))}"""
def num_tokens_from_messages(messages, model="gpt-3.5-turbo-0301"):
"""Returns the number of tokens used by a list of messages."""
try:
encoding = tiktoken.encoding_for_model(model)
except KeyError:
encoding = tiktoken.get_encoding("cl100k_base")
if model == "gpt-3.5-turbo-0301": # note: future models may deviate from this
num_tokens = 0
for message in messages:
num_tokens += 4 # every message follows <im_start>{role/name}\n{content}<im_end>\n
for key, value in message.items():
num_tokens += len(encoding.encode(value))
if key == "name": # if there's a name, the role is omitted
num_tokens += -1 # role is always required and always 1 token
num_tokens += 2 # every reply is primed with <im_start>assistant
return num_tokens
else:
raise NotImplementedError(f"""num_tokens_from_messages() is not presently implemented for model {model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens.""") |