CoolFace
Apppublic

julien-rodriguez/First_agent_template

sourceHugging Faceupdated 1y agoView on Hugging Face
0likes
app.py90 linesDownload Raw Back to root
1from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool2import datetime3import requests4import pytz5import yaml6from tools.final_answer import FinalAnswerTool7 8from Gradio_UI import GradioUI9 10# Below is an example of a tool that does nothing. Amaze us with your creativity !11@tool12def my_custom_tool(arg1:str)-> str: #it's import to specify the return type13    #Keep this format for the description / args / args description but feel free to modify the tool14    """A tool that returns which pokemon types an input pokemon type is weak against 15    Args:16        arg1: The input pokemon type17    """18    weakness_list = ", ".join(WEAKNESSES_DICT[arg1])19    return f"{arg1} is weak against {weakness_list}"20 21@tool22def get_current_time_in_timezone(timezone: str) -> str:23    """A tool that fetches the current local time in a specified timezone.24    Args:25        timezone: A string representing a valid timezone (e.g., 'America/New_York').26    """27    try:28        # Create timezone object29        tz = pytz.timezone(timezone)30        # Get current time in that timezone31        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")32        return f"The current local time in {timezone} is: {local_time}"33    except Exception as e:34        return f"Error fetching time for timezone '{timezone}': {str(e)}"35 36 37final_answer = FinalAnswerTool()38search_tool = DuckDuckGoSearchTool()39 40# 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:41# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 42 43model = HfApiModel(44max_tokens=2096,45temperature=0.5,46model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded47custom_role_conversions=None,48)49 50WEAKNESSES_DICT = {51    "Normal": ["Fighting"],52    "Fire": ["Water", "Ground", "Rock"],53    "Water": ["Electric", "Grass"],54    "Electric": ["Ground"],55    "Grass": ["Fire", "Ice", "Poison", "Flying", "Bug"],56    "Ice": ["Fire", "Fighting", "Rock", "Steel"],57    "Fighting": ["Flying", "Psychic", "Fairy"],58    "Poison": ["Ground", "Psychic"],59    "Ground": ["Water", "Grass", "Ice"],60    "Flying": ["Electric", "Ice", "Rock"],61    "Psychic": ["Bug", "Ghost", "Dark"],62    "Bug": ["Fire", "Flying", "Rock"],63    "Rock": ["Water", "Grass", "Fighting", "Ground", "Steel"],64    "Ghost": ["Ghost", "Dark"],65    "Dragon": ["Ice", "Dragon", "Fairy"],66    "Dark": ["Fighting", "Bug", "Fairy"],67    "Steel": ["Fire", "Fighting", "Ground"],68    "Fairy": ["Poison", "Steel"]69}70 71# Import tool from Hub72image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)73 74with open("prompts.yaml", 'r') as stream:75    prompt_templates = yaml.safe_load(stream)76    77agent = CodeAgent(78    model=model,79    tools=[final_answer, my_custom_tool], ## add your tools here (don't remove final answer)80    max_steps=6,81    verbosity_level=1,82    grammar=None,83    planning_interval=None,84    name=None,85    description=None,86    prompt_templates=prompt_templates87)88 89 90GradioUI(agent).launch()