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()