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 analyze_text(text: str) -> str: """A tool that analyzes text for sentiment and provides a simple analysis. Args: text: The text to analyze for sentiment Returns: A string containing the sentiment analysis result """ # Simple sentiment analysis based on positive and negative word lists positive_words = {'good', 'great', 'awesome', 'excellent', 'happy', 'love', 'wonderful', 'fantastic'} negative_words = {'bad', 'terrible', 'awful', 'horrible', 'sad', 'hate', 'disappointing', 'poor'} words = text.lower().split() positive_count = sum(1 for word in words if word in positive_words) negative_count = sum(1 for word in words if word in negative_words) if positive_count > negative_count: sentiment = "positive" elif negative_count > positive_count: sentiment = "negative" else: sentiment = "neutral" return f"Text Analysis Results:\nSentiment: {sentiment}\nPositive words: {positive_count}\nNegative words: {negative_count}" @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,analyze_text,get_current_time_in_timezone], ## 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()