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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 random import choice
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def ask_magic_8_ball(question: str) -> str:
"""Provides the exact classic Magic 8 Ball responses to questions.
This tool returns one of the 20 traditional Magic 8 Ball answers without interpretation.
Each response is delivered exactly as it would appear on a real Magic 8 Ball.
Args:
question: The question or situation to get a Magic 8 Ball response for
Returns:
str: A direct, unmodified Magic 8 Ball response from the predefined set of 20 classic answers
"""
responses = [
"It is certain",
"It is decidedly so",
"Without a doubt",
"Yes - definitely",
"You may rely on it",
"As I see it, yes",
"Most likely",
"Outlook good",
"Yes",
"Signs point to yes",
"Reply hazy, try again",
"Ask again later",
"Better not tell you now",
"Cannot predict now",
"Concentrate and ask again",
"Don't count on it",
"My reply is no",
"My sources say no",
"Outlook not so good",
"Very doubtful"
]
# Input validation
if not question or not isinstance(question, str):
return "Please provide a valid question or situation."
# Return random response
return f"Magic 8 Ball says: {choice(responses)}"
@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()
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, ask_magic_8_ball], ## 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() |