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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity!
@tool
def search_arxiv(query: str) -> str:
"""Searches arXiv for academic papers.
Args:
query (str): The topic or keywords to search for.
Returns:
str: A formatted list of found papers with titles, summaries, and links.
"""
max_results = 5 # Static value for maximum results
url = f"http://export.arxiv.org/api/query?search_query={query}&max_results={max_results}"
response = requests.get(url)
if response.status_code == 200:
papers = []
for entry in response.text.split("<entry>")[1:max_results+1]:
title = entry.split("<title>")[1].split("</title>")[0].strip()
summary = entry.split("<summary>")[1].split("</summary>")[0].strip()
link = entry.split("<id>")[1].split("</id>")[0].strip()
papers.append(f"Title: {title}\nSummary: {summary}\nLink: {link}\n")
return "\n\n".join(papers)
return "No papers found."
@tool
def summarize_text(text: str) -> str:
"""Summarizes long academic papers or articles.
Args:
text: The text to summarize.
"""
model = HfApiModel(
max_tokens=512,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
)
return model.generate(f"Summarize this research paper: {text}")
@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()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
)
# 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, search_arxiv, summarize_text, image_generation_tool], # add your tools here (don't remove final answer)
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name="Research Assistant",
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch()
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