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fastdetect

A lightweight language detection server

    1.0.8

Maintainers
1

Readme

fastdetect Manual Page

NAME

fastdetect - run a lightweight language detection server

SYNOPSIS

fastdetect bind_addr port model_path [--workers] [--cors]

DESCRIPTION

FastDetect is a lightweight language detection server that is capable of recognizing 175 languages using a data model trained on source text from Wikipedia, Tatoeba, and SETimes. It is powered by the Facebook developed fastText library, and uses Bottle with gunicorn to provide a REST-style interface in which to interact with the model.

Please see https://fasttext.cc/ for more information.

OPTIONS

bind_addr

The IP address or hostname that this server process will bind to.

port

The port used by this server process to listen for incoming requests.

model_path

The path to the model file. This file can be found at https://fasttext.cc/docs/en/language-identification.html

--workers=COUNT

The number of worker processes that will be used to serve responses. The default value if omitted is 1.

--cors=DOMAIN

If given, CORS requests will be accepted from the given domain. An Access-Control-Allow-Origin header with the given domain will be included in all responses, unconditionally. Supports the wildcard character ('*'). Note that if this is omitted, CORS will not be supported, and all preflight requests will receive a 400 error.

ENDPOINTS

XYZ /

Unconditionally serves 200 with an empty response body. Used primarily for performing health checks on the server. XYZ may be any canonical HTTP request method.

OPTIONS /detectOne

Preflighting for POST /detectOne endpoint.

POST /detectOne

Detect the language of a single utterance. The request body should comport with the application/json content-type, and should contain a JSON object with a MANDATORY top-level data property containing the utterance to be detected. An optional predictions property containing an integer value may be given to alter the number of predictions that are returned (the default value is 1).

OPTIONS /detectMany

Preflighting for 'POST /detectMany' endpoint.

POST /detectMany

Detect the language of an array of utterances. The request body should comport with the application/json content-type, and should contain a JSON object with a MANDATORY top-level data property containing the array of utterances to be detected. An optional predictions property containing an integer value may be given to alter the number of predictions that are returned (the default value is 1).

OUTPUT

200

Successful responses are of the content-type application/json, and contain a JSON object containing a top-level property named data. This property either contains an object with a string property utterance containing the original utterance and an object property containing the detectedLanguage and confidence for each prediction, or an array of said objects.

400

Malformed requests are given responses of the content-type application/json which contain two properties: errorCode, which provides a code for the given error, and errorDescritpion, which is a detailed explaination of the error. Note that unsupported CORS requests fall under this category.

EXIT CODES

0

This exit code is used if no errors ocurred during execution.

1

This exit code is used if the given data model file cannot be found. Also raised if any unexpected runtime exceptions are raised.

2

This exit code is used if the given argument vector was malformed.

AUTHOR

Written by Kristoffer A. Wright (kris.al.wright@gmail.com)

Copyright (C) 2022 Kristoffer A. Wright

This software is protected under the MIT license. Please see the LICENSE file for more information.


Sample JSON Requests and Responses

Sample POST /detectOne Request Body

{
    "data": "The man in black fled across the desert, and the gunslinger followed."
}

Sample POST /detectOne Response Body

{
    "data": {
        "utterance": "The man in black fled across the desert, and the gunslinger followed.",
        "results": [
            {
                "detectedLanguage": "en",
                "confidence": 0.9147520065307617
            },
            {
                "detectedLanguage": "it",
                "confidence": 0.01209554634988308
            },
            {
                "detectedLanguage": "pt",
                "confidence": 0.009296770207583904
            }
        ]
    }
}

Sample POST /detectMany Request Body

{
    "data": [
        "The man in black fled across the desert, and the gunslinger followed.",
        "Hola. Como estas?",
        "Muž v černém uprchl přes poušť a pistolník ho následoval.",
        "검은 옷을 입은 남자는 사막을 가로질러 도망쳤고 총잡이는 그 뒤를 따랐다."
    ]
}

Sample POST /detectMany Response Body

{
    "data": [
        {
            "utterance": "The man in black fled across the desert, and the gunslinger followed.",
            "results": [
                {
                    "detectedLanguage": "en",
                    "confidence": 0.9147520065307617
                },
                {
                    "detectedLanguage": "it",
                    "confidence": 0.01209554634988308
                },
                {
                    "detectedLanguage": "pt",
                    "confidence": 0.009296770207583904
                }
            ]
        },
        {
            "utterance": "Hola. Como estas?",
            "results": [
                {
                    "detectedLanguage": "es",
                    "confidence": 0.7752323746681213
                },
                {
                    "detectedLanguage": "pt",
                    "confidence": 0.20101742446422577
                },
                {
                    "detectedLanguage": "gl",
                    "confidence": 0.015422248281538486
                }
            ]
        },
        {
            "utterance": "Muž v černém uprchl přes poušť a pistolník ho následoval.",
            "results": [
                {
                    "detectedLanguage": "cs",
                    "confidence": 0.9968787431716919
                },
                {
                    "detectedLanguage": "en",
                    "confidence": 0.0011031883768737316
                },
                {
                    "detectedLanguage": "ro",
                    "confidence": 0.0007685713935643435
                }
            ]
        },
        {
            "utterance": "검은 옷을 입은 남자는 사막을 가로질러 도망쳤고 총잡이는 그 뒤를 따랐다.",
            "results": [
                {
                    "detectedLanguage": "ko",
                    "confidence": 1.0000699758529663
                },
                {
                    "detectedLanguage": "tr",
                    "confidence": 1.0000403563026339e-05
                },
                {
                    "detectedLanguage": "en",
                    "confidence": 1.0000098882301245e-05
                }
            ]
        }
    ]
}

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