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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
import os
from PIL import Image
import requests
from io import BytesIO
print(os.getcwd())
current_directory = os.path.dirname(os.path.abspath(__file__))
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
# it's import to specify the return type
def get_random_image(width: int, height: int) -> Image.Image:
"""Retrieve a random image with the desired dimensions.
Args:
width: Desired width of the image.
height: Desired height of the image.
"""
if width <= 0 or height <= 0:
raise ValueError("Width and height must be positive integers.")
# Generate the URL for a random image
url = f"https://picsum.photos/{width}/{height}"
# Download the image
response = requests.get(url)
if response.status_code == 200:
# Open the image
image = Image.open(BytesIO(response.content))
return image
else:
raise Exception("Failed to download the 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()
# 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_id='Qwen/Qwen2.5-Coder-32B-Instruct'
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
# it is possible that this model may be overloaded
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
custom_role_conversions=None,
)
# Import tool from Hub
image_generation_tool = load_tool(
"agents-course/text-to-image", trust_remote_code=True)
prompts_file = f"prompts.yaml"
prompts_path = f"{current_directory}/{prompts_file}"
with open(prompts_path, 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
# add your tools here (don't remove final answer)
tools=[get_random_image, get_current_time_in_timezone, final_answer],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch()
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