JimSnns's picture
Update app.py
ce113f4 verified
Raw History Blame Contribute Delete
5.23 kB
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from newsapi import NewsApiClient
from Gradio_UI import GradioUI
# Newsapi info
NEWSAPI_KEY = "be0caa3084bf4bdc9052203cb149d9e1"
newsapi = NewsApiClient(api_key = NEWSAPI_KEY)
# 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_news_updates(query: str) -> str:
"""
Fetches and summarizes recent news articles based on a query.
Args:
query: The topic or keyword to search for in news articles.
"""
try:
# Fetch news articles based on the query
response = newsapi.get_everything(q=query, language='en', sort_by='publishedAt')
if response['status'] == 'ok' and len(response['articles']) > 0:
articles = response['articles']
# Summarize the first few articles
summaries = []
for article in articles[:5]: # Limiting to 5 articles
title = article.get('title', '')
description = article.get('description', '')
source = article.get('source', {}).get('name', '')
url = article.get('url', '')
datetime = article.get('publishedAt', '')
summary = f"Title: {title}\nSource: {source}\nDescription: {description}\nLink: {url}\nPublished at: {datetime}"
summaries.append(summary)
return '\n\n'.join(summaries)
else:
return "No news articles found for the given query."
except Exception as e:
return f"Error fetching the latest news because of {str(e)}"
@tool
def convert_currency(amount: float, from_currency: str, to_currency: str) -> str:
"""
Converts an amount from one currency to another based on real-time exchange rates.
Args:
amount: The amount of money to be converted.
from_currency: The currency code of the original amount (e.g., 'USD').
to_currency: The currency code of the target currency (e.g., 'EUR').
"""
try:
# Conversion rate API
API_URL = f"https://v6.exchangerate-api.com/v6/ac069b4cb2fe9f46d311de15/latest/{from_currency}"
# Fetch the latest exchange rates
response = requests.get(API_URL)
if response.status_code == 200:
data = response.json()
# Get the conversion rate for the target currency
to_rate = data['conversion_rates'].get(to_currency.upper(), None)
if to_rate is not None:
# Convert the amount to the target currency
converted_amount = amount * to_rate
return f"{amount} {from_currency} is equal to {converted_amount:.2f} {to_currency}"
else:
return f"Currency '{to_currency}' not supported."
else:
return f"Failed to fetch exchange rates. Status code: {response.status_code}"
except Exception as e:
return 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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# 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=[get_current_time_in_timezone, get_news_updates, image_generation_tool, convert_currency, 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()