from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from tools.ocr import ocr_tool from tools.reconcile import reconcile_documents from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def reconcile_documents(text1:str, text2:str) -> str: """Compares two text documents and identifies differences using LLM analysis. Args: text1: First document text text2: Second document text """ prompt = f"""Perform detailed comparison of these two documents: Document 1: {text1} Document 2: {text2} Identify and list: 1. Numerical discrepancies 2. Missing information 3. Formatting differences 4. Semantic contradictions Final verdict: Are these documents substantially equivalent?""" return f"Comparison request queued: {prompt[:200]}..." # Actual comparison done through agent @tool def ocr_tool(image_path: str) -> str: """Extracts text from images or scanned documents using OCR. Args: image_path: Path to the image file """ try: ocr_engine = PaddleOCR(use_angle_cls=True, lang='en') result = ocr_engine.ocr(image_path, cls=True) texts = [line[1][0] for line in result[0]] if result else [] return "\n".join(texts) except Exception as e: return f"OCR Error: {str(e)}" @tool 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], ## 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()