import datetime from dataclasses import dataclass import pytz import yaml from gitingest import ingest from smolagents import CodeAgent, HfApiModel, load_tool, tool from Gradio_UI import GradioUI from tools.final_answer import FinalAnswerTool @dataclass class RepoData: summary: str tree: str content: str # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def git_github_repo_summary(user: str, repo: str) -> str: """A tool that does nothing yet Args: user: the user of the github repository repo: the name of the repository Returns: summary: a string with a summary of the github repository repo of user """ summary, tree, content = ingest(f"https://github.com/{user}/{repo}") return content[: 16_000 - 2_096] @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, ) # 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, git_github_repo_summary, ], ## 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()