from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI from langdetect import detect import requests from smolagents import tool DEEPL_API_KEY = "" DEEPL_FREE_ENDPOINT = "https://api-free.deepl.com/v2/translate" @tool def agent_translate(text: str) -> str: """ A translation tool using free DeepL API. 1) If text starts with 'PL:', translate the rest to Polish. 2) If detected language == 'ru', translate to English. 3) Else translate to Russian. """ if text.startswith("PL:"): original = text[3:].strip() target_lang = "PL" else: detected_lang = detect(text) if detected_lang == "ru": target_lang = "EN" original = text else: target_lang = "RU" original = text params = { "auth_key": DEEPL_API_KEY, "text": original, "target_lang": target_lang } try: #response = requests.post(DEEPL_FREE_ENDPOINT, data=params) #response.raise_for_status() #result = response.json() #translated_text = result["translations"][0]["text"] #return translated_text return ", ".join([detected_lang, target_lang, original]) except Exception as e: return f"Error during translating using DeepL: {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=[agent_translate, 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()