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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 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 search_news(query: str, days_ago: int = 30, sort_by: str = "publishedAt") -> str:
"""A tool that searches for recent news articles related to a query.
Args:
query: Search keyword or topic (e.g., 'tesla').
days_ago: Number of days in the past to search news from.
sort_by: Criteria to sort news articles ('publishedAt', 'relevance', 'popularity').
"""
api_key = "dcd505e31d89450bb9aff9d38b520572"
from_date = (datetime.now() - timedelta(days=days_ago)).strftime("%Y-%m-%d")
url = f"https://newsapi.org/v2/everything?q={query}&from={from_date}&sortBy={sort_by}&apiKey={api_key}"
try:
response = requests.get(url)
response.raise_for_status()
news_data = response.json()
if news_data["status"] != "ok":
return f"Error fetching news: {news_data.get('message', 'Unknown error')}"
articles = news_data.get("articles", [])
if not articles:
return "No news articles found."
news_summary = []
for article in articles[:5]: # limit to 5 articles for brevity
title = article.get("title")
author = article.get("author", "Unknown")
source = article.get("source", {}).get("name", "Unknown")
published_at = article.get("publishedAt")
article_url = article.get("url")
news_summary.append(
f"Title: {title}\nAuthor: {author}\nSource: {source}\nPublished at: {published_at}\nURL: {article_url}\n"
)
return "\n".join(news_summary)
except requests.RequestException as e:
return f"An error occurred while fetching news: {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_news], ## 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()