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 import re @tool def youtube_search_duckduckgo(query: str) -> str: """ Searches YouTube via DuckDuckGoSearchTool and returns HTML embeds of the top 3 videos and it's not bad! Args: query: The search term. """ search = DuckDuckGoSearchTool() # Limit search to YouTube only results = search(f"site:youtube.com/watch {query}") video_ids = [] for res in results: # Try to find YouTube video links match = re.search(r"youtube\.com/watch\?v=([A-Za-z0-9_-]{11})", res) if match: video_ids.append(match.group(1)) if len(video_ids) == 3: break if not video_ids: return "No YouTube videos found." html = "" for vid in video_ids: html += f"""
""" return html # 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)}" 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, # ) model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='google/flan-t5-base', # <-- swap for a smaller/free model custom_role_conversions=None, ) model.last_input_token_count = 0 # <-- add this line # 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, youtube_search_duckduckgo], ## 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()