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| import json | |
| import os | |
| import requests | |
| from crewai import Agent, Task | |
| from langchain.tools import tool | |
| from unstructured.partition.html import partition_html | |
| class BrowserTools(): | |
| def scrape_and_summarize_website(website): | |
| """Useful to scrape and summarize a website content""" | |
| url = f"https://chrome.browserless.io/content?token={os.environ['BROWSERLESS_API_KEY']}" | |
| payload = json.dumps({"url": website}) | |
| headers = {'cache-control': 'no-cache', 'content-type': 'application/json'} | |
| response = requests.request("POST", url, headers=headers, data=payload) | |
| elements = partition_html(text=response.text) | |
| content = "\n\n".join([str(el) for el in elements]) | |
| content = [content[i:i + 8000] for i in range(0, len(content), 8000)] | |
| summaries = [] | |
| for chunk in content: | |
| agent = Agent( | |
| role='Principal Researcher', | |
| goal= | |
| 'Do amazing researches and summaries based on the content you are working with', | |
| backstory= | |
| "You're a Principal Researcher at a big company and you need to do a research about a given topic.", | |
| allow_delegation=False) | |
| task = Task( | |
| agent=agent, | |
| description= | |
| f'Analyze and summarize the content bellow, make sure to include the most relevant information in the summary, return only the summary nothing else.\n\nCONTENT\n----------\n{chunk}' | |
| ) | |
| summary = task.execute() | |
| summaries.append(summary) | |
| return "\n\n".join(summaries) |