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from smolagents import CodeAgent, DuckDuckGoSearchTool, GoogleSearchTool, VisitWebpageTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import matplotlib.pyplot as plt
import numpy as np
from Gradio_UI import GradioUI
@tool
def plot_omocentric_circles(distance: float, n: int)-> None:
"""A tool that plots n omocentric circles with a given seed distance, each in a different color.
Args:
distance: Distance between consecutive circles.
n: Number of circles to plot.
"""
fig, ax = plt.subplots()
ax.set_aspect('equal')
colors = plt.cm.viridis(np.linspace(0, 1, n)) # Generate n distinct colors
for i in range(n):
ax.add_patch(plt.Circle((0, 0), (i + 1) * seed, fill=False, color=colors[i]))
plt.xlim(-n * seed, n * seed)
plt.ylim(-n * seed, n * seed)
plt.show()
# 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 does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@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='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',# 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, DuckDuckGoSearchTool, image_generation_tool, plot_omocentric_circles], ## 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() |