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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
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_cutom_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 combines the arguments and performs a simple calculation.
Args:
arg1: A string.
arg2: An integer.
"""
try:
result = int(arg1) * arg2 # Attempt conversion and multiplication
return f"The result of {arg1} * {arg2} is: {result}"
except ValueError:
return "Error: arg1 must be convertible to an integer."
except Exception as e:
return f"An unexpected error occurred: {e}"
@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)}"
@tool
def fetch_webpage_content(url: str) -> str:
"""Fetches the content of a webpage.
Args:
url: The URL of the webpage to fetch.
"""
try:
response = requests.get(url, timeout=10) # Added timeout for safety
response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx)
return response.text
except requests.exceptions.RequestException as e:
return f"Error fetching URL '{url}': {e}"
final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='meta-llama/Llama-3.2-1B',# 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], ## 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() |