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| import datetime | |
| import pytz | |
| import re | |
| import requests | |
| from typing import List | |
| import yaml | |
| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel, tool | |
| from tools.final_answer import FinalAnswerTool | |
| from Gradio_UI import GradioUI | |
| def get_website_content(url: str) -> str: | |
| """ | |
| This tool fetches the content of a website given its URL. | |
| Args: | |
| url: The URL of the website to fetch | |
| Returns: | |
| str: The content of the website | |
| """ | |
| try: | |
| response = requests.get(url) | |
| response.raise_for_status() | |
| return response.text | |
| except requests.RequestException as e: | |
| return f"Error fetching website content: {str(e)}" | |
| def extract_website_content_parts(url: str, extraction_pattern: str) -> List[str]: | |
| """ | |
| This tool extracts content parts matching the regular expression string `extraction_pattern` of a website given its `url`. | |
| Args: | |
| url: The URL of the website from which content parts should be extracted | |
| extraction_pattern: The regular expression string of the content parts to extract from the website | |
| Returns: | |
| List[str]: The deduplicated content parts matching extraction_pattern of the website `url` | |
| """ | |
| try: | |
| response = requests.get(url) | |
| response.raise_for_status() | |
| matches: List[str] = re.findall(extraction_pattern, response.text) | |
| return list(set(matches)) | |
| except requests.RequestException as e: | |
| return [f"Error fetching website content: {str(e)}"] | |
| def get_papers_url_for_date(year:int, month:int, day:int)-> str: | |
| """A tool that constructs a URL where machine learning papers for a specific date (YYYY-MM-DD) are listed. | |
| Args: | |
| year: the year YYYY | |
| month: the month MM | |
| day: the day DD | |
| Returns: | |
| str: The URL where machine learning papers for the specific date are listed. | |
| """ | |
| return f"https://huggingface.co/papers?date={year}-{month}-{day}" | |
| 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'). | |
| Returns: | |
| str: The current local time as `"%Y-%m-%d %H:%M:%S`. | |
| """ | |
| 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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded | |
| # 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='Qwen/Qwen2.5-Coder-32B-Instruct' | |
| custom_role_conversions=None, | |
| ) | |
| search_tool = DuckDuckGoSearchTool() | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer, search_tool, extract_website_content_parts, get_website_content, get_papers_url_for_date, get_current_time_in_timezone], | |
| max_steps=30, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() |