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()