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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import urllib.request as libreq
from tools.final_answer import FinalAnswerTool
import feedparser
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_paper_search_tool(search_query:str, num_of_papers: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 takes search_query to find all the articles in ArXiv
Args:
search_query: search query
num_of_papers: number of articles
"""
try:
search_query = search_query.replace(' ','+')
with libreq.urlopen(f'http://export.arxiv.org/api/query?search_query=all:{search_query}&start=0&max_results={num_of_papers}') as url:
r=url.read()
feed = feedparser.parse(r)
papers= []
for entry in feed.entries:
papers.append({
"title": entry.title,
"authors": [author.name for author in entry.authors],
"published": entry.published,
"summary": entry.summary,
"pdf_link": entry.link
})
return f"Here are the some of the top results: {papers}"
except Exception as e:
return f"Error fetching papers for '{search_query}': {str(e)}"
return "What magic will you build ?"
@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',
model_id = model_id, # 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)
# papers = my_paper_search_tool()
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
tools=[my_paper_search_tool, final_answer], ## 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
)
GradioUI(agent).launch()