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Updated parameters: temperature, max_steps and verbosity
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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
@tool
def wikipedia_summary(query: str) -> str:
"""Fetches a summary from Wikipedia for a given search query.
Args:
query: The topic to search on Wikipedia.
"""
try:
url = "https://en.wikipedia.org/api/rest_v1/page/summary/" + query.replace(" ", "_")
response = requests.get(url, timeout=10)
if response.status_code == 200:
data = response.json()
title = data.get("title", "Unknown")
extract = data.get("extract", "No summary available.")
page_url = data.get("content_urls", {}).get("desktop", {}).get("page", "")
return f"**{title}**\n\n{extract}\n\nRead more: {page_url}"
else:
return f"Could not find a Wikipedia article for '{query}'."
except Exception as e:
return f"Error fetching Wikipedia summary: {str(e)}"
@tool
def currency_converter(amount: float, from_currency: str, to_currency: str) -> str:
"""Converts an amount from one currency to another using live exchange rates.
Args:
amount: The amount of money to convert.
from_currency: The source currency code in uppercase ('USD', 'EUR', 'TRY').
to_currency: The target currency code in uppercase.
"""
try:
from_currency = from_currency.upper()
to_currency = to_currency.upper()
url = f"https://api.exchangerate-api.com/v4/latest/{from_currency}"
response = requests.get(url, timeout=10)
if response.status_code == 200:
data = response.json()
if to_currency in data["rates"]:
rate = data["rates"][to_currency]
result = round(amount * rate, 2)
return f"{amount} {from_currency} = {result} {to_currency} (rate: {rate})"
else:
return f"Currency '{to_currency}' not found. Use standard codes like USD, EUR, GBP, TRY, JPY."
else:
return f"Could not fetch exchange rates for '{from_currency}'."
except Exception as e:
return f"Error converting currency: {str(e)}"
@tool
def generate_password(length: int) -> str:
"""Generates a random secure password of a given length.
Args:
length: The desired password length.
"""
import random
import string
length = max(8, min(length, 128))
# Ensure at least one of each character type
password = [
random.choice(string.ascii_uppercase),
random.choice(string.ascii_lowercase),
random.choice(string.digits),
random.choice(string.punctuation),
]
remaining = length - len(password)
all_chars = string.ascii_letters + string.digits + string.punctuation
password += [random.choice(all_chars) for _ in range(remaining)]
random.shuffle(password)
return f"Generated password ({length} chars): {''.join(password)}"
@tool
def days_until(date_str: str) -> str:
"""Calculates the number of days from today until a given target date.
Args:
date_str: The target date in YYYY-MM-DD format ('2026-12-31').
"""
try:
target = datetime.datetime.strptime(date_str, "%Y-%m-%d").date()
today = datetime.date.today()
delta = (target - today).days
if delta > 0:
return f"There are {delta} days from today ({today}) until {date_str}."
elif delta == 0:
return f"That date is TODAY! ({today})"
else:
return f"That date was {abs(delta)} days ago (today is {today})."
except ValueError:
return f"Invalid date format '{date_str}'. Please use YYYY-MM-DD (e.g., '2026-12-31')."
@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 ('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=0.2,
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,
DuckDuckGoSearchTool(),
get_current_time_in_timezone,
wikipedia_summary,
currency_converter,
generate_password,
days_until,
image_generation_tool,
],
max_steps=7,
verbosity_level=0,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch()