from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI import requests from bs4 import BeautifulSoup import json from tools.visit_webpage import VisitWebpageTool # Trying to fix an error I was getting: import re # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """A tool that does nothing yet Args: arg1: the first argument arg2: the second argument """ return "What magic will you build ?" # Creating an example function to get data from a website of my choice @tool def webpage_contents_get(url:str, headers_in: dict = None)-> bytes: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """A simple function to grab contents of a webpage. As this is very long and not easily interpretable, summaries based on other tools applied to this content should be returned to users with questions. Printing the value returned from this function is not acceptable. Args: url: The URL the contents of which the tool will get headers_in: A dictionary which defines the headers for the request. Defaults to None """ response = requests.get(url, headers = headers_in) #html_content = response.text return response.content @tool def webpage_header_get(url:str)-> dict: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """A simple function to grab header of a webpage. Can be passed into webpage_contents_get if desired. Args: url: string The URL the contents of which the tool will get """ response = requests.get(url) return response.headers @tool def webpage_json_get(url:str)-> json: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """A simple function to grab json formatted data from a webpage. Args: url: string The URL the contents of which the tool will get """ response = requests.get(url) return response.json() @tool def webpage_contents_soup_paragraphs(response_content:bytes)->list: ''' This function will find all paragraphs in the response.content from the webpage_contents_get tool Since this can be long, it is best to search this text for more concise summaries to return. Args: response_content: response.content value returned by webpage_contents_get tool. ''' soup = BeautifulSoup(response_content, "html.parser") list_ret = list() for paragraph in soup.find_all("p"): ret_t = paragraph.text #print(link.get("href")) list_ret.append(ret_t) return list_ret @tool def webpage_contents_soup_links(response_content:bytes)->list: ''' This function will find all links in the response.content from the webpage_contents_get tool Args: response_content: response.content value returned by webpage_contents_get tool. ''' soup = BeautifulSoup(response_content, "html.parser") list_ret = list() for link in soup.find_all("a"): ret_t = link.get("href") list_ret.append(ret_t) return list_ret @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)}" @tool def summarize_and_answer_from_web(url: str, question:str) -> str: ''' A tool which takes a pair of inputs, a website and a question, and finds all relevant information about that question from the website, and return both the summary and the answer. Adjusted the code to only return the answer, to avoid errors in application by the agent. Args: url: a string which says which website to get information from question: a string of text asking for information from that website ''' # Get the webpage content webpage_content = webpage_contents_get(url=url) # Get links from the webpage content links = webpage_contents_soup_links(response_content=webpage_content) # Get paragraphs from the webpage content paragraphs = webpage_contents_soup_paragraphs(response_content=webpage_content) # Combine the extracted information into a summary summary = f"Title: {paragraphs[0] if paragraphs else 'No title found'}\\n\\nHeadings:\\n" headings = [para for para in paragraphs if len(para.split()) < 15] # Heuristic for headings if headings: for heading in headings: summary += f"- {heading}\\n" else: summary += "No headings found.\\n" summary += "\\nParagraphs:\\n" for para in paragraphs: summary += f"- {para}\\n" summary += "\\nLinks:\\n" for link in links: summary += f"- {link}\\n" # Answer the question based on the summary # Simple heuristic: check if the question is in any of the paragraphs answer = "No specific answer found." for para in paragraphs: if question.lower() in para.lower(): answer = para break return summary, answer #return answer @tool def tool_visit_webpage(url:str) -> str: ''' A tool used to visit a webpage, and return the appropriate information from it Args: url: A string url, the site to be visited ''' import re vst = VisitWebpageTool() ret = vst(url) return ret @tool def duckduckgo_search_tool(query:str) -> str: ''' A tool used to initialize the ddg search tool, and to return the top 10 finings Args: query: A string to pass to duckduckgo ''' ddg = DuckDuckGoSearchTool() ret = ddg(query) return ret 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, max_tokens=8000, #max_tokens=256, temperature=0.5, model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded #model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct',# it is possible that this model may be overloaded #model_id='meta-llama/Llama-3.2-1B-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, image_generation_tool,webpage_contents_get, webpage_header_get, webpage_contents_soup_links, webpage_contents_soup_paragraphs, summarize_and_answer_from_web, webpage_json_get, tool_visit_webpage, duckduckgo_search_tool], ## 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()