Source code for langchain_community.tools.edenai.image_explicitcontent

from __future__ import annotations

import logging
from typing import Optional, Type

from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field, HttpUrl

from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool

logger = logging.getLogger(__name__)


class ExplicitImageInput(BaseModel):
    query: HttpUrl = Field(description="url of the image to analyze")


class EdenAiExplicitImageTool(EdenaiTool):
    """Tool that queries the Eden AI Explicit image detection.

    for api reference check edenai documentation:
    https://docs.edenai.co/reference/image_explicit_content_create.

    To use, you should have
    the environment variable ``EDENAI_API_KEY`` set with your API token.
    You can find your token here: https://app.edenai.run/admin/account/settings

    """

    name: str = "edenai_image_explicit_content_detection"

    description: str = (
        "A wrapper around edenai Services Explicit image detection. "
        """Useful for when you have to extract Explicit Content from images.
        it detects adult only content in images, 
        that is generally inappropriate for people under
        the age of 18 and includes nudity, sexual activity,
        pornography, violence, gore content, etc."""
        "Input should be the string url of the image ."
    )
    args_schema: Type[BaseModel] = ExplicitImageInput

    combine_available: bool = True
    feature: str = "image"
    subfeature: str = "explicit_content"

    def _parse_json(self, json_data: dict) -> str:
        result_str = f"nsfw_likelihood: {json_data['nsfw_likelihood']}\n"
        for idx, found_obj in enumerate(json_data["items"]):
            label = found_obj["label"].lower()
            likelihood = found_obj["likelihood"]
            result_str += f"{idx}: {label} likelihood {likelihood},\n"

        return result_str[:-2]

    def _parse_response(self, json_data: list) -> str:
        if len(json_data) == 1:
            result = self._parse_json(json_data[0])
        else:
            for entry in json_data:
                if entry.get("provider") == "eden-ai":
                    result = self._parse_json(entry)

        return result

    def _run(
        self,
        query: str,
        run_manager: Optional[CallbackManagerForToolRun] = None,
    ) -> str:
        """Use the tool."""
        query_params = {"file_url": query, "attributes_as_list": False}
        return self._call_eden_ai(query_params)