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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
import os
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> 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
"""A tool that does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@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)}"
@tool
def get_ai_safety_updates(category: str = "general", max_results: int = 5) -> str:
"""
A tool that fetches the latest news updates on AI safety developments and categorizes them.
Args:
category: The topic or category for the news updates (e.g., 'research', 'policy', 'industry').
max_results: The maximum number of news articles to retrieve.
Returns:
A string summarizing the latest AI safety news updates for the specified category.
"""
api_key = os.getenv("NEWS_API_KEY")
if not api_key:
return "Error: NEWS_API_KEY is not set in your environment."
# Prepare the query; you can customize it further as needed
query = f" Latest AI safety research News {category}"
# News API endpoint
url = "https://newsapi.org/v2/everything"
params = {
"q": query,
"sortBy": "publishedAt",
"pageSize": max_results,
"apiKey": api_key
}
response = requests.get(url, params=params)
if response.status_code == 200:
articles = response.json().get("articles", [])
if not articles:
return f"No recent updates found for category '{category}'."
# Build a summary of the news articles
summary = f"Latest AI safety updates for category '{category}':\n"
for article in articles:
title = article.get("title", "No title")
source = article.get("source", {}).get("name", "Unknown source")
published = article.get("publishedAt", "No date")
summary += f"- {title} (Source: {source}, Date: {published})\n"
return summary
else:
return f"Error fetching news: {response.status_code} - {response.text}"
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, get_current_time_in_timezone,
get_ai_safety_updates], ## 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() |