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Format the results with clear DuckDuckGo attribution
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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_tool(query:str, num_results:int = 3)-> str: #it's import to specify the return type
#Keep this format for the description / args / args description but feel free to modify the tool
"""searches the web using DuckDuckGo and return relevant results
Args:
query: The search query string
num_results: Number of results to return
"""
try:
#initialize
search = DuckDuckGoSearchTool()
#perform the search
results = search.search(query,num_results = num_results)
#format the results
formatted_results = []
output = f"🔍 DuckDuckGo Search Results for query: '{query}'\n"
output += f"Number of results requested: {num_results}\n"
output += "----------------------------------------\n\n"
for i, result in enumerate(results,1):
formatted_results.append(
f"{i}. Title: {result['title']}\n"
f" snippet: {result['snippet']}\n"
f" URL:{result['link']}\n"
)
#combine results into a single string
if formatted_results:
return "search Results:\n\n" + "\n".join(formatted_results)
else:
return "no results found for the given query."
except Exception as e:
return f"error performing search: {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()
# 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,
search_tool,
get_current_time_in_timezone],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch()