Skip to main content

Библиотека для использования Omni Antispam API (https://moderator.omni-devel.ru)

Project description

RuModeratorAI

Библиотека для использования Omni Antispam API (https://moderator.omni-devel.ru), в прошлом - RuModeratorAI API.

Установка

pip install rumoderatorai

Пример использования

from rumoderatorai import Client, Context, ChatContext

import asyncio

from PIL import Image

import os


async def main():
    async with Client(
        api_key=os.getenv("RUMODERATORAI_API_KEY")
    ) as client:
        context = Context(
            chat_context=ChatContext(
                title="Test group",
                topic_title="Test topic"
            ),
            allowed_rules=[
                "mutual subscriptions",
                "job offers",
                "cars selling"
            ]
        )

        text_response = await client.get_text_class("Hello, world!", context=context)
        print(text_response)

        profile_response = await client.get_profile_class(
            username="test",
            first_name="test",
            last_name="test",
            description="test",
            is_premium=False,
        )
        print(profile_response)

        image = Image.open("tests/image.png")
        image_response = await client.get_image_class(image)
        print(image_response)

        ocr_response = await client.get_ocr(image)
        print(ocr_response)

        multimodal_text_response = await client.get_multimodal_text_class(
            text="Всем привет!",
            images=[
                "tests/image_spam.png", "tests/image_not_spam.png", "tests/image_spam_2.png"
            ],
            context=context
        )
        print(multimodal_text_response)

        stats_response = await client.get_stats()
        print(stats_response)

        key_info_response = await client.get_key_info()
        print(key_info_response)

        prediction_response = await client.get_prediction(unique_id=text_response.unique_id)
        print(prediction_response)

        ips_response = await client.get_ips()
        print(ips_response)

        prices_response = await client.get_prices()
        print(prices_response)


asyncio.run(main())

Или можно использовать без async with:

from rumoderatorai import Client, Context, ChatContext

import asyncio

from PIL import Image

import os


async def main():
    client = Client(
        api_key=os.getenv("RUMODERATORAI_API_KEY"),
    )
    await client.init()

    context = Context(
        chat_context=ChatContext(
            title="Test group",
            topic_title="Test topic"
        ),
        allowed_rules=[
            "job offers",
            "cars selling"
        ]
    )

    text_response = await client.get_text_class("Hello, world!", context=context)
    print(text_response)

    profile_response = await client.get_profile_class(
        username="test",
        first_name="test",
        last_name="test",
        description="test",
        is_premium=False,
    )
    print(profile_response)

    image = Image.open("tests/image.png")
    image_response = await client.get_image_class(image)
    print(image_response)

    ocr_response = await client.get_ocr(image)
    print(ocr_response)

    multimodal_text_response = await client.get_multimodal_text_class(
        text="Всем привет!",
        images=[
            "tests/image_spam.png", "tests/image_not_spam.png", "tests/image_spam_2.png"
        ],
        context=context
    )
    print(multimodal_text_response)

    stats_response = await client.get_stats()
    print(stats_response)

    key_info_response = await client.get_key_info()
    print(key_info_response)

    prediction_response = await client.get_prediction(unique_id=text_response.unique_id)
    print(prediction_response)

    ips_response = await client.get_ips()
    print(ips_response)

    prices_response = await client.get_prices()
    print(prices_response)

    await client.close()


asyncio.run(main())

Примечание: Не забудьте установить переменную окружения RUMODERATORAI_API_KEY перед запуском кода.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rumoderatorai-1.6.2.tar.gz (9.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rumoderatorai-1.6.2-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file rumoderatorai-1.6.2.tar.gz.

File metadata

  • Download URL: rumoderatorai-1.6.2.tar.gz
  • Upload date:
  • Size: 9.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.2

File hashes

Hashes for rumoderatorai-1.6.2.tar.gz
Algorithm Hash digest
SHA256 23166f40e3e3099ad0d7393b2a2572f1b5a16bf4a79ffff1a16b31abb5d47a3a
MD5 37154b4fd8a1d8ec933bdb5cfd7c0792
BLAKE2b-256 c1a03a78f61e9cdfe8b73a3e9a39feabc36a04a4bfc8fdfe62b0723108968957

See more details on using hashes here.

File details

Details for the file rumoderatorai-1.6.2-py3-none-any.whl.

File metadata

  • Download URL: rumoderatorai-1.6.2-py3-none-any.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.2

File hashes

Hashes for rumoderatorai-1.6.2-py3-none-any.whl
Algorithm Hash digest
SHA256 721a9e0d3f6b0eb67576a1f6a9f32c560dd9d141c5c1240c40aecf1b61bd1aef
MD5 442f5b373a7d698777019c1fe4abd73d
BLAKE2b-256 2460832808bc0db8ee92ddd920221f175b7678402ed23797ec127b04632f9ff1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page