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check-2-4-4.py
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from langchain.agents import initialize_agent, AgentType | |
from langchain.chat_models import ChatAnthropic | |
import asyncio | |
from langchain.agents.agent_toolkits import PlayWrightBrowserToolkit | |
from langchain.tools.playwright.utils import ( | |
create_async_playwright_browser, | |
create_sync_playwright_browser, # A synchronous browser is available, though it isn't compatible with jupyter. | |
) | |
import json | |
from dotenv import load_dotenv | |
load_dotenv() | |
import nest_asyncio | |
nest_asyncio.apply() | |
async def go(async_browser): | |
async_browser = create_async_playwright_browser() | |
toolkit = PlayWrightBrowserToolkit.from_browser(async_browser=async_browser) | |
tools = toolkit.get_tools() | |
llm = ChatAnthropic(temperature=0) # or any other LLM, e.g., ChatOpenAI(), OpenAI() | |
agent_chain = initialize_agent( | |
tools, | |
llm, | |
agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION, | |
verbose=True, | |
) | |
response = await agent_chain.arun(input="Browse to https://www.w3.org/WAI and summarize the content in one sentence. Then, tell me on a scale from 0 to 1 how suitable it would be to add a link to that website using this text for the anchor: 'International Federation of Association Football (FIFA)'. Write your answer as a JSON object with the key 'suitability'. For example {'summary': 'summary of the page', 'suitability': a float number between 0 and 1}" ) | |
print(response) | |
async def main(): | |
async with create_async_playwright_browser() as playwright: | |
await go(playwright) | |
asyncio.run(main()) |
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