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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 cv2 | |
| 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 gaussian_blur(image_path: str, output_path: str, kernel_size: int, sigma: int) -> str: | |
| """ | |
| Applies Gaussian blur to an image and saves the output. | |
| This function reads an image, applies a Gaussian blur with the given | |
| kernel size and sigma, and saves the processed image to the output path. | |
| Args: | |
| image_path: The file path of the input image. | |
| output_path: The file path where the blurred image will be saved. | |
| kernel_size: The size of the Gaussian blur kernel (must be an odd number). | |
| sigma: The standard deviation for the Gaussian kernel. | |
| """ | |
| image = cv2.imread(image_path) | |
| if image is None: | |
| raise ValueError(f"Could not load image from {image_path}") | |
| # Ensure kernel_size is an odd number (OpenCV requires it) | |
| if kernel_size % 2 == 0: | |
| kernel_size += 1 | |
| blurred_image = cv2.GaussianBlur(image, (kernel_size, kernel_size), sigma) | |
| cv2.imwrite(output_path, blurred_image) | |
| return output_path | |
| def display_image(image_path: str) -> Image.Image: | |
| """ | |
| Loads and returns an image from the specified file path. | |
| This function opens an image using Pillow and returns the loaded image object. | |
| It raises an error if the file cannot be found or opened. | |
| Args: | |
| image_path: The path to the image file. | |
| Returns: | |
| Image.Image: The loaded image object. | |
| Raises: | |
| ValueError: If the image cannot be opened. | |
| """ | |
| try: | |
| image = Image.open(image_path) | |
| return image | |
| except Exception as e: | |
| raise ValueError(f"Error opening image: {e}") | |
| 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=[image_generation_tool, get_current_time_in_timezone, gaussian_blur, display_image, DuckDuckGoSearchTool(), final_answer], ## 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() |