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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 networkx as nx
import matplotlib.pyplot as plt
import io
from PIL import Image
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def generate_dependency_graph(dependencies: list) -> Image.Image:
"""Generates a high-contrast dependency graph from a list of feature dependencies using NetworkX.
Args:
dependencies: A list of tuples where each tuple (A, B) means B depends on A.
Returns:
An image of the dependency graph.
"""
# Create a directed graph
G = nx.DiGraph()
G.add_edges_from(dependencies)
# Define layout for better visualization
pos = nx.spring_layout(G, seed=42)
# Set up the figure
plt.figure(figsize=(8, 6))
# Draw nodes with a strong black-and-white contrast
nx.draw_networkx_nodes(G, pos, node_color="white", edgecolors="black", node_size=3000, linewidths=2)
# Draw edges with thick black lines
nx.draw_networkx_edges(G, pos, edge_color="black", width=2, arrows=True, arrowstyle="-|>", arrowsize=15)
# Draw labels with larger, bold font
nx.draw_networkx_labels(G, pos, font_size=14, font_family="Arial", font_weight="bold")
# Remove axes for a cleaner look
plt.axis("off")
# Save the image to memory instead of a file
buf = io.BytesIO()
plt.savefig(buf, format="PNG", bbox_inches="tight", dpi=200)
plt.close()
# Return the image
buf.seek(0)
return Image.open(buf)
@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='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,generate_dependency_graph], ## 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()