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71 lines
2.5 KiB
71 lines
2.5 KiB
#props to shroominic
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from swarms.agents.tools.base import Tool, ToolException
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from typing import Callable, Any, List
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from codeinterpreterapi import CodeInterpreterSession, File, ToolException
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class CodeInterpreterTool(Tool):
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def __init__(self, name: str, description: str):
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super().__init__(name, description, self.run)
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def run(self, user_request: str, file_paths: List[str] = []) -> Any:
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# create a session
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session = CodeInterpreterSession()
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session.start()
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# create files from paths
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files = [File.from_path(file_path) for file_path in file_paths]
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try:
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# generate a response based on user input
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response = session.generate_response(user_request, files=files)
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# output the response (text + image)
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print("AI: ", response.content)
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for file in response.files:
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file.show_image()
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except Exception as e:
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raise ToolException(f"Error running CodeInterpreterTool: {e}")
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finally:
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# terminate the session
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session.stop()
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async def arun(self, user_request: str, file_paths: List[str] = []) -> Any:
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# create a session
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session = CodeInterpreterSession()
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await session.astart()
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# create files from paths
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files = [File.from_path(file_path) for file_path in file_paths]
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try:
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# generate a response based on user input
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response = await session.generate_response(user_request, files=files)
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# output the response (text + image)
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print("AI: ", response.content)
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for file in response.files:
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file.show_image()
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except Exception as e:
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raise ToolException(f"Error running CodeInterpreterTool: {e}")
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finally:
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# terminate the session
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await session.astop()
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"""
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tool = CodeInterpreterTool("Code Interpreter", "A tool to interpret code and generate useful outputs.")
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tool.run("Plot the bitcoin chart of 2023 YTD")
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# Or with file inputs
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tool.run("Analyze this dataset and plot something interesting about it.", ["examples/assets/iris.csv"])
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import asyncio
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tool = CodeInterpreterTool("Code Interpreter", "A tool to interpret code and generate useful outputs.")
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asyncio.run(tool.arun("Plot the bitcoin chart of 2023 YTD"))
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# Or with file inputs
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asyncio.run(tool.arun("Analyze this dataset and plot something interesting about it.", ["examples/assets/iris.csv"]))
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""" |