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8516a03a02
This PR upgrades langchain-community to pydantic 2.
* Most of this PR was auto-generated using code mods with gritql
(https://github.com/eyurtsev/migrate-pydantic/tree/main)
* Subsequently, some code was fixed manually due to accommodate
differences between pydantic 1 and 2
Breaking Changes:
- Use TEXTEMBED_API_KEY and TEXTEMBEB_API_URL for env variables for text
embed integrations:
cbea780492
Other changes:
- Added pydantic_settings as a required dependency for community. This
may be removed if we have enough time to convert the dependency into an
optional one.
---------
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
"""Tool for the SceneXplain API."""
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from typing import Optional
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_core.tools import BaseTool
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from pydantic import BaseModel, Field
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from langchain_community.utilities.scenexplain import SceneXplainAPIWrapper
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class SceneXplainInput(BaseModel):
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"""Input for SceneXplain."""
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query: str = Field(..., description="The link to the image to explain")
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class SceneXplainTool(BaseTool):
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"""Tool that explains images."""
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name: str = "image_explainer"
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description: str = (
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"An Image Captioning Tool: Use this tool to generate a detailed caption "
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"for an image. The input can be an image file of any format, and "
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"the output will be a text description that covers every detail of the image."
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)
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api_wrapper: SceneXplainAPIWrapper = Field(default_factory=SceneXplainAPIWrapper) # type: ignore[arg-type]
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def _run(
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self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None
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) -> str:
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"""Use the tool."""
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return self.api_wrapper.run(query)
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