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 # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def text_analyzer_tool(text: str)-> 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 """Analyzes a given text to count the number of words and characters. This is useful for getting the specific length of a piece of text. Args: text: The string of text that you want to analyze. """ # Get the number of characters num_chars = len(text) # Get the number of words by splitting the text by spaces and counting the parts num_words = len(text.split()) # Create a clear, descriptive return message for the agent return f"The text has {num_chars} characters and {num_words} words." @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 # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', model_id='Qwen/Qwen2.5-14B-Instruct-1M', custom_role_conversions=None, ) search_tool = DuckDuckGoSearchTool() # 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, image_generation_tool, search_tool, text_analyzer_tool], max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()