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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 | |
| 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 ! | |
| 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 | |
| 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 | |
| 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 | |
| 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() | |
| 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 | |
| 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 | |
| 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)}" | |
| 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 | |
| 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 | |
| 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() |