import datetime import pytz import yaml from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool from Gradio_UI import GradioUI from tools.final_answer import 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, ) @tool def analyze_sentiment(snippet: str) -> str: """A tool that analyzes if the sentiment of the snippet is positive, negative, or neutral. Args: snippet: A string representing the text to be analyzed. """ try: output = model.create_client().chat.completions.create( messages=[ { "role": "system", "content": "You are a sentiment analysis expert. Your task is to analyze the sentiment of the given text and respond with exactly one word: 'positive', 'negative', or 'neutral'. Do not include any other text in your response.", }, { "role": "user", "content": f"Analyze the sentiment of this text: {snippet}", }, ], stream=False, max_tokens=5, temperature=0.1, ) sentiment = "Sentiment: " + output.choices[0].message.content.strip().lower() return sentiment except Exception as e: return f"Error analyzing sentiment: {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)}" web_search = DuckDuckGoSearchTool() final_answer = FinalAnswerTool() # 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=[ get_current_time_in_timezone, web_search, analyze_sentiment, final_answer, ], max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates, ) GradioUI(agent).launch()