from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from tools.visit_webpage import VisitWebpageTool from tools.web_search import DuckDuckGoSearchTool import os from dotenv import load_dotenv load_dotenv(override=True) from Gradio_UI import GradioUI @tool def get_crypto_price(coin_name: str) -> str: """Get latest crypto price in usd for a given coin name Args: coin_name: The unique name of the coin in lowercase. e.g. bitcoin. """ api_key = os.getenv("COINGECKO_API_KEY") headers = {"accept": "application/json", "x-cg-demo-api-key": api_key} url = f"https://api.coingecko.com/api/v3/simple/price?ids={coin_name}&vs_currencies=usd" response = requests.get(url, headers=headers) data = response.json() if coin_name in data and "usd" in data[coin_name]: price = data[coin_name]["usd"] return price else: return None @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)}" search_tool = DuckDuckGoSearchTool(max_results=10) visit_webpage_tool = VisitWebpageTool() 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) welcome_message = """ ## Welcome! I can help you with: - Getting cryptocurrency prices (e.g. "What's the current price of bitcoin?") - Searching the web for information - Generating images from text descriptions - General knowledge questions - And more! """ agent = CodeAgent( model=model, tools=[ final_answer, visit_webpage_tool, search_tool, get_current_time_in_timezone, get_crypto_price, image_generation_tool, ], max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=welcome_message, prompt_templates=prompt_templates, ) GradioUI(agent, description=welcome_message).launch()