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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
import numpy as np
from Gradio_UI import GradioUI
from bs4 import BeautifulSoup
import random
from PIL import Image
from io import BytesIO
from typing import Annotated
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def get_animal_image(animal_name: Annotated[str, "The animal name to search for."]) -> Annotated[np.ndarray, "A numpy array of the image."]:
"""Returns a random animal image from an online image API as a numpy array.
Args:
animal_name: The animal name to search for.
"""
# Use a real image API like Unsplash or Wikimedia
url = f"https://source.unsplash.com/600x400/?{animal_name}"
response = requests.get(url)
if response.status_code != 200:
raise RuntimeError("Failed to retrieve image.")
image = Image.open(BytesIO(response.content)).convert("RGB")
return np.array(image)
@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()
web_search = 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, web_search, get_animal_image, get_current_time_in_timezone], ## 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() |