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Update app.py
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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 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)}"
@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',# 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()