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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 ! | |
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 ?" | |
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. | |
# """ | |
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() |