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| 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 ! | |
| def calculate_min_price(prices: list[float])-> str: #it's import to specify the return type | |
| """A tool that calculates the min price from list of product prices | |
| Args: | |
| prices: list of product prices of | |
| """ | |
| min_price =min(prices) | |
| return f"The minimum price is {min_price}" | |
| def extract_price_from_snippet(snippet: str) -> list[str]: | |
| """ | |
| A simple function to extract prices from a text snippet using regex. | |
| You can enhance this function for more complex price extraction. | |
| Args: | |
| snippet: text of all prices | |
| """ | |
| # A basic regular expression to detect common price formats like $29.99, 29.99 USD, etc. | |
| price_pattern = r'\$\d+(?:,\d{3})*(?:\.\d{2})?|\d+(?:,\d{3})*(?:\.\d{2})?\s*(USD|EUR|GBP|INR|AUD|CAD)?' | |
| matches = re.findall(price_pattern, snippet) | |
| matches = [str(x) for x in matches] | |
| return matches | |
| 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 | |
| model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', | |
| 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,DuckDuckGoSearchTool(),calculate_min_price,extract_price_from_snippet], ## 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() |