Download tools.py from andrewnzrv/Final_Assignment_Template: direct link, hf CLI and curl.
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https://huggingface.co/spaces/andrewnzrv/Final_Assignment_Template/resolve/main/tools.py
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curl -L -o tools.py https://huggingface.co/spaces/andrewnzrv/Final_Assignment_Template/resolve/main/tools.py
5.63 kB
| import re | |
| import time | |
| from typing import Any | |
| from smolagents import tool, Tool | |
| import duckduckgo_search | |
| import wikipediaapi | |
| class FinalAnswerTool(Tool): | |
| name = "final_answer" | |
| description = "Provides a final answer to the given problem." | |
| inputs = {'answer': {'type': 'string', 'description': 'The final answer to the problem'}} | |
| output_type = "string" | |
| def forward(self, answer: str) -> str: | |
| """ | |
| Submits the final answer to the user. | |
| """ | |
| print(f"Final Answer: {answer}") | |
| return answer | |
| class DuckDuckGoSearchTool(Tool): | |
| name = "web_search" | |
| description = "Performs a duckduckgo web search based on your query (think a Google search) then returns the top search results." | |
| inputs = {'query': {'type': 'string', 'description': 'The search query to perform.'}} | |
| output_type = "string" | |
| def __init__(self, max_results=10, **kwargs): | |
| super().__init__() | |
| self.max_results = max_results | |
| try: | |
| from duckduckgo_search import DDGS | |
| except ImportError as e: | |
| raise ImportError( | |
| "You must install package `duckduckgo_search` to run this tool: for instance run `pip install duckduckgo-search`." | |
| ) from e | |
| self.ddgs = DDGS(**kwargs) | |
| def forward(self, query: str) -> str: | |
| max_retries = 3 | |
| retry_delay = 2 # seconds | |
| for attempt in range(max_retries): | |
| try: | |
| results = self.ddgs.text(query, max_results=self.max_results) | |
| if len(results) == 0: | |
| raise Exception("No results found! Try a less restrictive/shorter query.") | |
| postprocessed_results = [f"[{result['title']}]({result['href']})\n{result['body']}" for result in results] | |
| return "## Search Results\n\n" + "\n\n".join(postprocessed_results) | |
| except Exception as e: | |
| error_msg = str(e) | |
| if "202" in error_msg or "rate" in error_msg.lower() or "ratelimit" in error_msg.lower(): | |
| if attempt < max_retries - 1: | |
| print(f"Rate limit hit, retrying in {retry_delay} seconds... (attempt {attempt + 1}/{max_retries})") | |
| time.sleep(retry_delay) | |
| retry_delay *= 2 # Exponential backoff | |
| continue | |
| else: | |
| return "## Search Results\n\nRate limit exceeded. Please try again later or use a different search strategy." | |
| else: | |
| # For non-rate-limit errors, don't retry | |
| raise e | |
| return "## Search Results\n\nFailed to get search results after multiple attempts." | |
| class VisitWebpageTool(Tool): | |
| name = "visit_webpage" | |
| description = "Visits a webpage at the given url and reads its content as a markdown string. Use this to browse webpages." | |
| inputs = {'url': {'type': 'string', 'description': 'The url of the webpage to visit.'}} | |
| output_type = "string" | |
| def forward(self, url: str) -> str: | |
| try: | |
| import requests | |
| from markdownify import markdownify | |
| from requests.exceptions import RequestException | |
| from smolagents.utils import truncate_content | |
| except ImportError as e: | |
| raise ImportError( | |
| "You must install packages `markdownify` and `requests` to run this tool: for instance run `pip install markdownify requests`." | |
| ) from e | |
| try: | |
| # Send a GET request to the URL with a 20-second timeout | |
| response = requests.get(url, timeout=20) | |
| response.raise_for_status() # Raise an exception for bad status codes | |
| # Convert the HTML content to Markdown | |
| markdown_content = markdownify(response.text).strip() | |
| # Remove multiple line breaks | |
| markdown_content = re.sub(r"\n{3,}", "\n\n", markdown_content) | |
| return truncate_content(markdown_content, 10000) | |
| except requests.exceptions.Timeout: | |
| return "The request timed out. Please try again later or check the URL." | |
| except RequestException as e: | |
| return f"Error fetching the webpage: {str(e)}" | |
| except Exception as e: | |
| return f"An unexpected error occurred: {str(e)}" | |
| def __init__(self, *args, **kwargs): | |
| self.is_initialized = False | |
| class WikipediaSearchTool(Tool): | |
| name = "wikipedia_search" | |
| description = "Searches Wikipedia for a given query and returns the summary of the most relevant page. Use this for questions about specific facts, people, places, or events." | |
| inputs = {'query': {'type': 'string', 'description': 'The search query to perform.'}} | |
| output_type = "string" | |
| def __init__(self, **kwargs): | |
| super().__init__(**kwargs) | |
| self.wiki_wiki = wikipediaapi.Wikipedia( | |
| language='en', | |
| user_agent='SmolAgents-Course-Assignment/1.0' | |
| ) | |
| def forward(self, query: str) -> str: | |
| """ | |
| Searches Wikipedia for a given query and returns the summary of the most relevant page. | |
| Use this for questions about specific facts, people, places, or events. | |
| """ | |
| try: | |
| page = self.wiki_wiki.page(query) | |
| if page.exists(): | |
| return f"Title: {page.title}\nSummary: {page.summary}" | |
| else: | |
| return f"Could not find a Wikipedia page for '{query}'." | |
| except Exception as e: | |
| return f"An error occurred while searching Wikipedia: {e}" | |