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 # Below is an example of a tool that does nothing. Amaze us with your creativity! @tool def generate_keywords(topic: str, max_keywords: int) -> str: """A tool that generates the most relevant keywords based on a given topic. Args: topic: the subject or theme for which keywords need to be generated max_keywords: the maximum number of keywords to generate """ # Basic preprocessing to remove common stopwords (without external libraries) stopwords = set(["и", "в", "на", "с", "по", "для", "как", "что", "это", "а", "но", "я", "у", "за", "из", "о", "об", "от"]) # Splitting the topic into words and filtering out short words and stopwords words = topic.lower().split() filtered_words = [word for word in words if len(word) > 2 and word not in stopwords] # Generating unique keywords by frequency and limiting to max_keywords keyword_frequency = {} for word in filtered_words: keyword_frequency[word] = keyword_frequency.get(word, 0) + 1 # Sorting keywords by frequency (descending) and selecting top ones sorted_keywords = sorted(keyword_frequency.keys(), key=lambda x: keyword_frequency[x], reverse=True) top_keywords = sorted_keywords[:max_keywords] return ", ".join(top_keywords) if top_keywords else "Нет релевантных ключевых слов" @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() model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='Qwen/Qwen2.5-Coder-32B-Instruct', 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, generate_keywords], # 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()