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| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
| from PIL import Image | |
| import datetime | |
| import os | |
| import io | |
| import qrcode | |
| import base64 | |
| import requests | |
| import pytz | |
| import yaml | |
| from tools.final_answer import FinalAnswerTool | |
| from Gradio_UI import GradioUI | |
| def image_path_to_markdown(path: str) -> str: | |
| try: | |
| with open(path, "rb") as f: | |
| img_bytes = f.read() | |
| img_base64 = base64.b64encode(img_bytes).decode("utf-8") | |
| return f"" | |
| except Exception as e: | |
| return f"Image saved at: {path} (Failed to embed image: {str(e)})" | |
| # Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
| def my_custom_tool(text:str, size:int = 200)-> 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 generates a QR Code for taxt or URLs | |
| Args: | |
| text: The text or the URL to make into a QR Code | |
| size: Size in pixels (200 by default) | |
| """ | |
| try: | |
| qr = qrcode.QRCode(version=1, box_size=size//25, border=4) | |
| qr.add_data(text) | |
| qr.make(fit=True) | |
| img = qr.make_image(fill_color="black", back_color="white") | |
| # Convert to base64 for display | |
| buffer = io.BytesIO() | |
| img.save(buffer, format='PNG') | |
| img_str = base64.b64encode(buffer.getvalue()).decode() | |
| # Also save file | |
| filename = f"qr_code_{len(text)}chars.png" | |
| img.save(filename) | |
| return f"QR code generated for: {text[:50]}...\nSaved as: {filename}\n\n" | |
| except Exception as e: | |
| return f"Error: {str(e)}" | |
| #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 | |
| original_image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| def image_generation_tool(prompt: str) -> str: | |
| """Generates an image from a prompt and embeds it as base64 in markdown. | |
| Args: | |
| prompt: The text prompt to generate an image from. | |
| """ | |
| try: | |
| # Run the tool and get back a PIL Image object | |
| image = original_image_generation_tool(prompt) | |
| # Save the image to a file | |
| filename = f"generated_image_{abs(hash(prompt))}.png" | |
| image.save(filename) | |
| # Convert image to base64 for embedding | |
| with open(filename, "rb") as f: | |
| img_bytes = f.read() | |
| img_base64 = base64.b64encode(img_bytes).decode("utf-8") | |
| return f"Image generated for prompt: '{prompt}'\nSaved as: {filename}\n\n" | |
| except Exception as e: | |
| return f"Error generating image: {str(e)}" | |
| search_tool = DuckDuckGoSearchTool() | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer, my_custom_tool, get_current_time_in_timezone, image_generation_tool, search_tool], ## 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() |