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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool,FinalAnswerTool
import datetime
import requests
import pytz
import yaml
from langchain_community.document_loaders import ArxivLoader
# from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
#Keep this format for the description / args / args description but feel free to modify the tool
"""A tool that does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@tool
def arxiv_fetch_paper_tool(arxiv_id : str) -> str:
""" An Tool that would fetch research papers from ArXiV collection and parse it and return the PDF text
Args:
arxiv_id: id for the arxiv paper which would be like 2312.11805
Returns:
text of the paper content and title of the paper
"""
from langchain_community.document_loaders import ArxivLoader
loader = ArxivLoader(query=arxiv_id)
docs = loader.load()
title = docs[0].metadata.get("title", "this paper")
return "\n".join([doc.page_content for doc in docs]), title
# @tool
# def write_python_code(coding_problem:str) -> str:
# """A tool that would code to solve user request in Python on a jupyter notebook environment
# Args:
# coding_problem: the problem statement needed to be solved by writing python code.
# Returns the code that has to be replaced in the notebook cell.
# """
@tool
def get_current_time_in_timezone(timezone: str) -> str:
"""A tool that fetches the current local time in a specified timezone.
Args:
timezone: A string representing a valid timezone (e.g., 'America/New_York').
"""
try:
# Create timezone object
tz = pytz.timezone(timezone)
# Get current time in that timezone
local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
return f"The current local time in {timezone} is: {local_time}"
except Exception as e:
return f"Error fetching time for timezone '{timezone}': {str(e)}"
final_answer = FinalAnswerTool()
# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)
# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
tools=[final_answer,arxiv_fetch_paper_tool,image_generation_tool], ## add your tools here (don't remove final answer)
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates,
additional_authorized_imports=['numpy','pandas','pip','matplotlib','SciPy','tensorflow','requests','notebook']
)
# GradioUI(agent).launch() |