Source code for langchain_community.tools.scenexplain.tool
"""用于SceneXplain API的工具。"""
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import BaseTool
from langchain_community.utilities.scenexplain import SceneXplainAPIWrapper
[docs]class SceneXplainInput(BaseModel):
"""用于SceneXplain的输入。"""
query: str = Field(..., description="The link to the image to explain")
[docs]class SceneXplainTool(BaseTool):
"""解释图像的工具。"""
name: str = "image_explainer"
description: str = (
"An Image Captioning Tool: Use this tool to generate a detailed caption "
"for an image. The input can be an image file of any format, and "
"the output will be a text description that covers every detail of the image."
)
api_wrapper: SceneXplainAPIWrapper = Field(default_factory=SceneXplainAPIWrapper) # type: ignore[arg-type]
def _run(
self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None
) -> str:
"""使用这个工具。"""
return self.api_wrapper.run(query)