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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import os
from tools.final_answer import FinalAnswerTool
from typing import List
import random
from Gradio_UI import GradioUI
from huggingface_hub import login, InferenceClient
access_token = os.getenv('HUGGINGFACE_TOKEN')
login(access_token)
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def roll_dice(dice_type:int, num_rolls:int = 1)-> List[int]: #it's import to specify the return type
#Keep this format for the description / args / args description but feel free to modify the tool
"""Roll a random DnD dice and get the result
Args:
dice_type: number of sides the dice has 4, 6, 8, 10, 12, 20
num_rolls: Number of rolls to return
"""
if dice_type not in [4, 6, 8, 10, 12, 20]:
return 0
rolls = [random.randint(1, dice_type) for _ in range(num_rolls)]
return rolls
@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()
# 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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
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=[roll_dice, get_current_time_in_timezone, image_generation_tool, 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() |