from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool import re from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def get_stock_price(company: str) -> str: """Fetches the current stock price of an Indian company using DuckDuckGo search. Args: company: The name or symbol of the company (e.g., 'Reliance', 'TCS') Returns: A string with the stock price or an error message. """ search_tool = DuckDuckGoSearchTool() # Construct the search query query = f"{company} stock price today India" # Perform the search search_results = search_tool(query) # Extract stock price using regex (looks for ₹ followed by numbers) match = re.search(r"₹\s?([\d,]+\.?\d*)", search_results) if match: price = match.group(1) # Extract only the price value return f"The current stock price of {company} is ₹{price}." else: return f"Could not find the stock price for {company}. Please check manually." @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,get_stock_price], ## add your tools here (don't remove final answer) max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name="Stock Price Agent india", description="", prompt_templates=prompt_templates ) GradioUI(agent).launch()