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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 duckduckgo_search import DDGS | |
| import re | |
| from Gradio_UI import GradioUI | |
| def get_top_places(city: str, category: str = "places", n: int = 5, budget: bool = False) -> list: | |
| """ | |
| Get top places based on city and category using DuckDuckGo search. | |
| Args: | |
| city: The name of the city to search in. | |
| category: The search category ("places", "food", church or "museum"). | |
| n: The number of results to return. | |
| budget: If True, modifies the query to focus on budget friendly options. | |
| Returns: | |
| A list of strings, each formatted as "title - URL". | |
| """ | |
| valid_categories = ["places", "food", "museum", "church"] | |
| if category not in valid_categories: | |
| raise ValueError("Invalid category. Choose from: places, food, museum.") | |
| # Modify the query if budget-friendly options are desired. | |
| if budget: | |
| query = f"top {n} budget friendly {category} in {city}" | |
| else: | |
| query = f"top {n} {category} in {city}" | |
| with DDGS() as ddgs: | |
| results = ddgs.text(query, max_results=n) | |
| return [f"{result['title']} - {result['href']}" for result in results] | |
| 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)}" | |
| 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', | |
| #'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,get_top_places], ## add your tools here (don't remove final answer) | |
| max_steps=5, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() |