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 os # from huggingface_hub import InferenceClient # HF_API_KEY = os.getenv("HF_API_KEY") # if not HF_API_KEY: # raise ValueError("HF_API_KEY is not set. Please add it as a secret in your Hugging Face Space settings.") # client = InferenceClient(token=HF_API_KEY) # response = client.text_generation("Hello!", model="Qwen/Qwen2.5-Coder-32B-Instruct") # print("HF_API_KEY", HF_API_KEY) # print(response) # # 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 #model_id='moonshotai/Moonlight-16B-A3B-Instruct', model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', # 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], ## 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 # ) agent2 = CodeAgent(tools=[DuckDuckGoSearchTool()], model=model) GradioUI(agent2).launch()