mirror of
https://github.com/hwchase17/langchain
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69 lines
2.2 KiB
Python
69 lines
2.2 KiB
Python
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from __future__ import annotations
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import logging
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from typing import Optional
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
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logger = logging.getLogger(__name__)
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class EdenAiExplicitImageTool(EdenaiTool):
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"""Tool that queries the Eden AI Explicit image detection.
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for api reference check edenai documentation:
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https://docs.edenai.co/reference/image_explicit_content_create.
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To use, you should have
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the environment variable ``EDENAI_API_KEY`` set with your API token.
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You can find your token here: https://app.edenai.run/admin/account/settings
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"""
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name = "edenai_image_explicit_content_detection"
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description = (
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"A wrapper around edenai Services Explicit image detection. "
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"""Useful for when you have to extract Explicit Content from images.
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it detects adult only content in images,
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that is generally inappropriate for people under
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the age of 18 and includes nudity, sexual activity,
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pornography, violence, gore content, etc."""
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"Input should be the string url of the image ."
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)
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combine_available = True
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feature = "image"
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subfeature = "explicit_content"
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def _parse_json(self, json_data: dict) -> str:
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result_str = f"nsfw_likelihood: {json_data['nsfw_likelihood']}\n"
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for idx, found_obj in enumerate(json_data["items"]):
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label = found_obj["label"].lower()
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likelihood = found_obj["likelihood"]
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result_str += f"{idx}: {label} likelihood {likelihood},\n"
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return result_str[:-2]
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def _parse_response(self, json_data: list) -> str:
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if len(json_data) == 1:
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result = self._parse_json(json_data[0])
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else:
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for entry in json_data:
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if entry.get("provider") == "eden-ai":
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result = self._parse_json(entry)
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return result
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def _run(
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self,
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query: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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"""Use the tool."""
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query_params = {"file_url": query, "attributes_as_list": False}
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return self._call_eden_ai(query_params)
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