from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel, load_tool, Tool, tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI from smolagents.agent_types import AgentImage import os from smolagents import LiteLLMModel import logging from smolagents import OpenAIModel # Import tools from tools.final_answer import FinalAnswerTool from tools.web_search import DuckDuckGoSearchTool from agents.tour_guide_agent import TourGuideAgent logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """A tool that does nothing yet Args: arg1: the first argument arg2: the second argument """ return "What magic will you build ?" @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)}" # 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 # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', # model_id='deepseek-ai/deepseek-coder-33B-instruct', model_id='mistralai/Mistral-7B-Instruct-v0.2', custom_role_conversions=None, ) # Import tool from Hub # image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) # Import the image generation tool directly from the Space image_generation_tool = Tool.from_space( "black-forest-labs/FLUX.1-schnell", name="image_generator", description="Generate an image from a text prompt. The prompt should be detailed to create high-quality images." ) # Create the web search tool for the tour guide agent web_search_tool = DuckDuckGoSearchTool(max_results=5) # Initialize the tour guide agent tour_guide_agent = TourGuideAgent( model=model, tools=[web_search_tool], max_steps=3, verbosity_level=1 ) # Final answer tool final_answer = FinalAnswerTool() with open("prompts_mas.ymal", 'r') as stream: prompt_templates = yaml.safe_load(stream) # Create the coordinator agent coordinator_agent = CodeAgent( model=model, tools=[ final_answer, image_generation_tool ], managed_agents=[tour_guide_agent], max_steps=6, verbosity_level=1, name="Journi", description="Your AI travel companion", prompt_templates=prompt_templates ) # Launch the UI if __name__ == "__main__": print("✈️ Launching Journi - Your AI Travel Companion") print("Ask about any destination to see images and get tourist recommendations!") GradioUI(coordinator_agent).launch()