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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 | |
| 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 my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type | |
| #Keep this format for the description / args / args description but feel free to modify the tool | |
| """A tool that does nothing yet | |
| Args: | |
| arg1: the first argument | |
| arg2: the second argument | |
| """ | |
| return "What magic will you build ?" | |
| 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 | |
| # @tool | |
| # image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| # @tool | |
| # def generate_image_from_text(prompt: str) -> Image: | |
| # """ | |
| # A tool that generates an image based on the given text prompt and displays it. | |
| # Args: | |
| # prompt: A string describing the image to be generated. | |
| # """ | |
| # try: | |
| # # Load the image generation tool | |
| # image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| # # Generate the image and get the URL | |
| # image_url = image_generation_tool(prompt) | |
| # # Fetch the image from the URL | |
| # response = requests.get(image_url) | |
| # image = Image.open(io.BytesIO(response.content)) | |
| # # Display the image inline for Jupyter Notebook or applications with inline display support | |
| # display.display(image) | |
| # image.save("generated_image.png") | |
| # print("Image saved as generated_image.png. Open the file to view it.") | |
| # # Return the image object | |
| # return image | |
| # except Exception as e: | |
| # print(f"Error generating image: {str(e)}") | |
| def generate_image_from_text(prompt: str) -> Image: | |
| """ | |
| A tool that generates an image based on the given text prompt and displays it. | |
| Args: | |
| prompt: A string describing the image to be generated. | |
| Returns: | |
| Image: The generated image that can be displayed by Gradio. | |
| """ | |
| try: | |
| # Load the image generation tool | |
| image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| # Generate the image and get the URL | |
| image_url = image_generation_tool(prompt) | |
| # Fetch the image from the URL | |
| response = requests.get(image_url) | |
| image = Image.open(io.BytesIO(response.content)) | |
| # Optionally save the image to a file | |
| image.save("generated_image.png") | |
| print("Image saved as generated_image.png. Open the file to view it.") | |
| # Return the image object for Gradio to display | |
| return image | |
| except Exception as e: | |
| print(f"Error generating image: {str(e)}") | |
| return None | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer,get_current_time_in_timezone,generate_image_from_text], ## 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() |