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Squashed commit of the following:
commitce8db0dfc0Author: Delgermurun Purevkhuu <delgermurun@users.noreply.github.com> Date: Fri Apr 28 10:29:18 2023 +0200 lint fix commit355b430fdcAuthor: Delgermurun Purevkhuu <delgermurun@users.noreply.github.com> Date: Wed Apr 26 18:17:42 2023 +0200 add scenexplain tool
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@@ -26,6 +26,7 @@ from langchain.tools.playwright import (
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NavigateTool,
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)
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from langchain.tools.plugin import AIPluginTool
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from langchain.tools.scenexplain.tool import SceneXplainTool
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from langchain.tools.shell.tool import ShellTool
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__all__ = [
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@@ -59,4 +60,6 @@ __all__ = [
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"ReadFileTool",
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"ShellTool",
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"WriteFileTool",
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"BaseTool",
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"SceneXplainTool",
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]
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1
langchain/tools/scenexplain/__init__.py
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1
langchain/tools/scenexplain/__init__.py
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@@ -0,0 +1 @@
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"""SceneXplain API toolkit."""
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26
langchain/tools/scenexplain/tool.py
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26
langchain/tools/scenexplain/tool.py
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@@ -0,0 +1,26 @@
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"""Tool for the SceneXplain API."""
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from pydantic import Field
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from langchain.tools.base import BaseTool
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from langchain.utilities.scenexplain import SceneXplainAPIWrapper
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class SceneXplainTool(BaseTool):
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"""Tool that adds the capability to explain images."""
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name = "Image Explainer"
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description = (
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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)
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def _run(self, query: str) -> str:
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"""Use the tool."""
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return self.api_wrapper.run(query)
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async def _arun(self, query: str) -> str:
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"""Use the tool asynchronously."""
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raise NotImplementedError("SceneXplainTool does not support async")
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68
langchain/utilities/scenexplain.py
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68
langchain/utilities/scenexplain.py
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@@ -0,0 +1,68 @@
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"""Util that calls SceneXplain.
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In order to set this up, you need API key for the SceneXplain API.
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You can obtain a key by following the steps below.
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- Sign up for a free account at https://scenex.jina.ai/.
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- Navigate to the API Access page (https://scenex.jina.ai/api) and create a new API key.
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"""
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from typing import Dict
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import requests
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from pydantic import BaseModel, root_validator
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from langchain.utils import get_from_dict_or_env
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class SceneXplainAPIWrapper(BaseModel):
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"""Wrapper for SceneXplain API.
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In order to set this up, you need API key for the SceneXplain API.
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You can obtain a key by following the steps below.
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- Sign up for a free account at https://scenex.jina.ai/.
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- Navigate to the API Access page (https://scenex.jina.ai/api)
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and create a new API key.
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"""
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scenex_api_key: str
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scenex_api_url: str = (
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"https://us-central1-causal-diffusion.cloudfunctions.net/describe"
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)
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def _describe_image(self, image: str) -> str:
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headers = {
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"x-api-key": f"token {self.scenex_api_key}",
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"content-type": "application/json",
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}
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payload = {
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"data": [
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{
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"image": image,
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"algorithm": "Ember",
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"languages": ["en"],
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}
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]
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}
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response = requests.post(self.scenex_api_url, headers=headers, json=payload)
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response.raise_for_status()
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result = response.json().get("result", [])
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img = result[0] if result else {}
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return img.get("text", "")
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@root_validator(pre=True)
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that api key exists in environment."""
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scenex_api_key = get_from_dict_or_env(
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values, "scenex_api_key", "SCENEX_API_KEY"
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)
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values["scenex_api_key"] = scenex_api_key
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return values
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def run(self, image: str) -> str:
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"""Run SceneXplain image explainer."""
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description = self._describe_image(image)
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if not description:
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return "No description found."
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return description
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