Spaces:
Sleeping
Sleeping
| 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 | |
| # Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
| def monte_carlo_integration(func_expr: str, a: float, b: float, samples: int = 10000) -> str: | |
| """A tool that computes the approximate definite integral of a given function between limits a and b using Monte Carlo integration. | |
| Args: | |
| func_expr: A string representing a mathematical function of x (e.g., "x**2 + 3*x + 2" or "math.sin(x)"). | |
| a: The lower bound of integration. | |
| b: The upper bound of integration. | |
| samples: The number of random samples to use for the approximation. Defaults to 10000. | |
| Returns: | |
| A string representing the approximate value of the integral. | |
| """ | |
| import random | |
| import math | |
| # Create a safe dictionary of math functions and add the math module itself. | |
| safe_dict = {k: getattr(math, k) for k in dir(math) if not k.startswith("__")} | |
| safe_dict["math"] = math # Allow expressions to use the 'math' prefix | |
| # Define the function to integrate safely using eval | |
| def f(x): | |
| try: | |
| # Only allow x and math functions in the evaluation context | |
| safe_dict["x"] = x | |
| return eval(func_expr, {"__builtins__": {}}, safe_dict) | |
| except Exception as e: | |
| raise ValueError(f"Error evaluating function at x={x}: {e}") | |
| total = 0.0 | |
| for _ in range(samples): | |
| x = random.uniform(a, b) | |
| total += f(x) | |
| integral = (b - a) * total / samples | |
| return f"The approximate integral of {func_expr} from {a} to {b} is {integral:.4f}" | |
| 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, monte_carlo_integration, get_current_time_in_timezone, image_generation_tool, DuckDuckGoSearchTool()], ## 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() |