【3分でできるかもしれない】品詞分解API

python3 -m venv env
source env/bin/activate

pip install fastapi uvicorn

pip install mecab-python3

pip install unidic-lite

import MeCab
from pydantic import BaseModel  # リクエストbodyを定義するために必要

app = FastAPI()

class Data(BaseModel):
    text: int


@app.post("/mecab/")
async def bunnkai(input: Data):
    return {"res": "OK", "text": input.text}

sudo uvicorn main:app --port 80 --host 0.0.0.0

import MeCab
import uvicorn
from fastapi import FastAPI
from pydantic import BaseModel  #  ^c  ^b  ^b  ^b  ^c^hbody ^b^>

app = FastAPI()

tagger = MeCab.Tagger()

class Data(BaseModel):
    text: str


@app.post("/mecab/")
async def bunnkai(input: Data):
    parsed = tagger.parse(input.text).replace("\t", ",")
    parsed_list = parsed.split("\n")
    parsed_list = parsed_list[:-2]

    return {"res": "OK", "text": parsed_list}

if __name__ == "__main__":
    uvicorn.run("main:app", host="0.0.0.0", port=80, log_level="info")

sudo python3 main.py

sudo nano /etc/systemd/system/mecabapi.service

[Unit]
Description=uvicorn
After=network.target

[Service]
ExecStart=<仮想環境のパス>/bin/python <main.pyがあるパス>/main.py
WorkingDirectory=<main.pyがあるパス>

[Install]
WantedBy=multi-user.target

sudo systemctl daemon-reload
sudo systemctl enable mecabapi.service
sudo systemctl start mecabapi.service