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edc711d 9b5b26a c19d193 6aae614 9b5b26a 1089234 9b5b26a edc711d 9b5b26a edc711d 9b5b26a edc711d 9b5b26a edc711d 9b5b26a edc711d 9b5b26a 8c01ffb edc711d 6aae614 ae7a494 1089234 4b401e5 1089234 4b401e5 e121372 1089234 edc711d 4b401e5 13d500a 4b401e5 edc711d 9b5b26a 8c01ffb edc711d 861422e edc711d 8c01ffb 8fe992b edc711d ec4df9d 47ad282 8c01ffb 861422e 8fe992b edc711d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | 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
# Updated custom tool to do something useful
@tool
def my_custom_tool(arg1: str, arg2: int) -> str:
"""A tool that combines a string and an integer and returns a formatted message.
Args:
arg1: The first argument as a string.
arg2: The second argument as an integer.
"""
return f"Your custom tool received: '{arg1}' and the number {arg2}."
# Tool to get current time in a specific timezone
@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:
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 tool
final_answer = FinalAnswerTool()
# Model setup
# Ensure HF token is set in the environment
os.environ["HF_TOKEN"] = os.getenv("HF_TOKEN")
# Model setup (without api_key)
model = HfApiModel(
max_tokens=1024,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct'
)
# Import external tool from Hugging Face Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# Load prompt templates
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
# Create the agent with the added tools
agent = CodeAgent(
model=model,
tools=[final_answer, my_custom_tool, DuckDuckGoSearchTool(), image_generation_tool],
max_steps=3,
verbosity_level=0,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
# Launch Gradio UI
GradioUI(agent).launch()
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