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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! | |
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." | |
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}") | |
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() | |