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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 | |
| # Initialize DuckDuckGo search tool | |
| search_tool = DuckDuckGoSearchTool() | |
| def find_open_restaurants_by_location(location: str, | |
| cuisine: str = None, | |
| rating: float = None, | |
| number_of_options: int = 5 | |
| )-> str: | |
| """A tool that searches for restaurants according to location, cuisine, rating and local time. | |
| Args: | |
| location: A string representing the location area with the optional inclusion of a zip code to search for open restaurants (e.g. Paris, Paris 75005, London, London NW1 4RY). | |
| cuisine: An optional string representing the cuisine type (e.g. Asian, Indian, Italian, breakfast, lunch, etc.) | |
| rating: An optional float representing the average customer rating of the restaurant from Google, TripAdvisor, or Yelp. | |
| number_of_options: An integer representing the number of return options, default set to 5. | |
| """ | |
| try: | |
| # Build query dynamically based on provided inputs | |
| query_parts = [ | |
| f"restaurants open now in {location}", | |
| f"serving {cuisine} cuisine" if cuisine else "", | |
| f"rated {rating} or higher" if rating else "", | |
| ] | |
| query = " ".join(filter(None, query_parts)) | |
| search_results = search_tool(query) | |
| if not search_results: | |
| return f"❌ No matching restaurants found in {location} at {local_time} fulfilling desired requests." | |
| # Ensure search_results is a list before iterating | |
| if isinstance(search_results, list) and len(search_results) > 0: | |
| results_str = "\n".join( | |
| [f"{result.get('title', 'Unknown')} - {result.get('url', 'No URL')}" for result in search_results[:number_of_options]] | |
| ) | |
| else: | |
| results_str = str(search_results) # Convert to string if it's not a list | |
| return f"🍽️ Open restaurants in {location}:\n\n{results_str}" | |
| except Exception as e: | |
| return f"❌ Error finding restaurants: {str(e)}" | |
| 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=0.0, | |
| model_id= model_id,# 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_current_time_in_timezone, find_open_restaurants_by_location], ## 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() |