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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_top3(query: str) -> str:
"""
Searches the internet using DuckDuckGoSearchTool and returns the top three relevant responses.
Args:
query: The query string for the search.
Returns:
A formatted string with the top three search results including title, URL, and snippet (if available).
"""
# Initialize the DuckDuckGo search tool
search_tool = DuckDuckGoSearchTool()
# Execute the search query (assuming the tool returns a list of result dictionaries)
results = search_tool.search(query)
# Extract the top three results
top3 = results[:3]
# Build a formatted string of the top three results
formatted_results = []
for idx, result in enumerate(top3, start=1):
title = result.get('title', 'No title')
url = result.get('url', 'No URL')
snippet = result.get('snippet', 'No snippet available.')
formatted_results.append(
f"Result {idx}:\nTitle: {title}\nURL: {url}\nSnippet: {snippet}\n"
)
return "\n".join(formatted_results)
@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',# 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=[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() |