|  | from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | 
					
						
						|  | import datetime | 
					
						
						|  | import requests | 
					
						
						|  | import pytz | 
					
						
						|  | import yaml | 
					
						
						|  | from tools.final_answer import FinalAnswerTool | 
					
						
						|  | from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer | 
					
						
						|  |  | 
					
						
						|  | from Gradio_UI import GradioUI | 
					
						
						|  |  | 
					
						
						|  | from langdetect import detect | 
					
						
						|  | import requests | 
					
						
						|  | from smolagents import tool | 
					
						
						|  |  | 
					
						
						|  | model_name = "facebook/m2m100_418M" | 
					
						
						|  | tokenizer = M2M100Tokenizer.from_pretrained(model_name) | 
					
						
						|  | translation_model = M2M100ForConditionalGeneration.from_pretrained(model_name) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | @tool | 
					
						
						|  | def agent_translate(text: str) -> str: | 
					
						
						|  | """A tool that translate text with next logic: | 
					
						
						|  | 1) If text starts with 'PL:', translate the rest to Polish. | 
					
						
						|  | 2) If detected language == 'ru', translate to English. | 
					
						
						|  | 3) Else translate to Russian. | 
					
						
						|  | and return translated text | 
					
						
						|  | Args: | 
					
						
						|  | text: text in russian/english or polish languages. | 
					
						
						|  | """ | 
					
						
						|  | 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: | 
					
						
						|  | inputs = tokenizer(original, return_tensors="pt") | 
					
						
						|  |  | 
					
						
						|  | forced_bos_token_id = tokenizer.get_lang_id(target_lang) | 
					
						
						|  |  | 
					
						
						|  | generated_tokens = translation_model.generate( | 
					
						
						|  | **inputs, | 
					
						
						|  | forced_bos_token_id=forced_bos_token_id | 
					
						
						|  | ) | 
					
						
						|  |  | 
					
						
						|  | translated_text = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0] | 
					
						
						|  | return translated_text | 
					
						
						|  | except Exception as e: | 
					
						
						|  | return f"Error during translating: {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: | 
					
						
						|  |  | 
					
						
						|  | tz = pytz.timezone(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() | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | model = HfApiModel( | 
					
						
						|  | max_tokens=2096, | 
					
						
						|  | temperature=0.5, | 
					
						
						|  | model_id='Qwen/Qwen2.5-Coder-32B-Instruct', | 
					
						
						|  | custom_role_conversions=None, | 
					
						
						|  | ) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | 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], | 
					
						
						|  | max_steps=6, | 
					
						
						|  | verbosity_level=1, | 
					
						
						|  | grammar=None, | 
					
						
						|  | planning_interval=None, | 
					
						
						|  | name=None, | 
					
						
						|  | description=None, | 
					
						
						|  | prompt_templates=prompt_templates | 
					
						
						|  | ) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | GradioUI(agent).launch() |