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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
@tool
def task_breakdown_tool(task: str) -> str:
"""
Breaks down a goal or task into simple actionable steps.
Args:
task: The task or goal the user wants to achieve.
"""
steps = [
f"Step 1: Understand the basics of {task}.",
f"Step 2: Gather the required resources for {task}.",
f"Step 3: Practice small tasks related to {task}.",
f"Step 4: Build a small project using {task}.",
f"Step 5: Improve and finalize your skills in {task}."
]
return "\n".join(steps)
@tool
def get_current_time_in_timezone(timezone: str) -> str:
"""
Fetches the current local time in a specified timezone.
Args:
timezone: A valid timezone like 'Asia/Tokyo' or 'America/New_York'.
"""
try:
tz = pytz.timezone(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()
search_tool = DuckDuckGoSearchTool()
# 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,
search_tool,
get_current_time_in_timezone,
task_breakdown_tool,
image_generation_tool
], ## 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()