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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 summary_of_paper(query: str, max_results: int = 1) -> str: | |
"""A tool that searches for a paper on arXiv and summarizes it using a language model. | |
Args: | |
query: The search query for the paper. | |
max_results: The maximum number of search results to return. | |
""" | |
try: | |
# Search for the paper on arXiv | |
search_url = f"http://export.arxiv.org/api/query?search_query={query}&max_results={max_results}" | |
response = requests.get(search_url) | |
if response.status_code != 200: | |
return f"Error fetching paper from arXiv: {response.status_code}" | |
# Parse the response | |
papers = response.text | |
# For simplicity, let's assume we extract the first paper's summary | |
# In a real implementation, you would parse the XML response properly | |
start_idx = papers.find('<summary>') + len('<summary>') | |
end_idx = papers.find('</summary>', start_idx) | |
paper_summary = papers[start_idx:end_idx].strip() | |
# Summarize the paper using a language model | |
summary_prompt = f"Summarize the following paper: {paper_summary}" | |
summary_response = model.generate(summary_prompt) | |
return f"the summary of the paper is: {summary_response}" | |
except Exception as e: | |
return f"Error summarizing paper: {str(e)}" | |
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',# 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=[summary_of_paper, 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() |