Skip to main content

Библиотека для использования RuModeratorAI (https://moderator.pysols.ru)

Project description

RuModeratorAI

Библиотека для использования RuModeratorAI API (https://moderator.pysols.ru).

Установка

pip install rumoderatorai

Пример использования

from rumoderatorai import Client

import asyncio

from PIL import Image

import os


async def main():
    async with Client(
        api_key=os.getenv("RUMODERATORAI_API_KEY")
    ) as client:
        text_response = await client.get_text_class("Hello, world!")
        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"\
            ]
        )
        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

import asyncio

from PIL import Image

import os


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

    text_response = await client.get_text_class("Hello, world!")
    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"\
        ]
    )
    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-0.1.7.tar.gz (7.6 kB view details)

Uploaded Source

Built Distribution

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

rumoderatorai-0.1.7-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file rumoderatorai-0.1.7.tar.gz.

File metadata

  • Download URL: rumoderatorai-0.1.7.tar.gz
  • Upload date:
  • Size: 7.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.2

File hashes

Hashes for rumoderatorai-0.1.7.tar.gz
Algorithm Hash digest
SHA256 adde5a91d10236dc6fd609999a200062e1264f5fbe89a0c22d0aee9d65db1761
MD5 c3a09635ca587cf029268aad1768bbed
BLAKE2b-256 10f9b56e4b329429a7942303c36b50df74dae03ad8a1c8fddbd656e53f651955

See more details on using hashes here.

File details

Details for the file rumoderatorai-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: rumoderatorai-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 7.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.2

File hashes

Hashes for rumoderatorai-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 817ac6b7dee631246c6a29b71fd5b1f6700cf5362a6fc90f9cbc95002a6e40e6
MD5 16e3117deb1be58f147abdd3ef489f00
BLAKE2b-256 d78b1273c5c314fedd4b73bbe2cb2bb371e0f1a89000f119430d34a17689aa5f

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