from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from urllib.parse import quote from transformers import AutoModelForSeq2SeqLM, AutoTokenizer from Gradio_UI import GradioUI model_name = "persiannlp/mt5-small-parsinlu-opus-translation_fa_en" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModelForSeq2SeqLM.from_pretrained(model_name) def translate_persian_to_english(text: str) -> str: inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True) outputs = model.generate(**inputs) translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True) return translated_text # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def persian_to_english_slug(persian_text:str)-> 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 """Converts Persian text into an English URL slug using Hugging Face translations. Args: persian_text: A persian headline. Returns: A URL-Friendly English slug. """ try: translated_text = translate_persian_to_english(persian_text) slug = translated_text.lower().replace(" ", "-") slug = quote(slug, safe="-") return slug except Exception as e: return f"Error generating slug: {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, persian_to_english_slug], ## 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()