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