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Download app.py from the-names-bear/First_agent_template: direct link, hf CLI and curl.
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https://huggingface.co/spaces/the-names-bear/First_agent_template/resolve/main/app.py
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hf download hf://spaces/the-names-bear/First_agent_template/app.py
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curl -L -o app.py https://huggingface.co/spaces/the-names-bear/First_agent_template/resolve/main/app.py
3.29 kB
| 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 ! | |
| 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) | |
| 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() |