LangChain OpenAI python automation

import os
from dotenv import load_dotenv
load_dotenv()

import nest_asyncio     #useful in Windows 10/11/ & WSL
nest_asyncio.apply()

from pprint import pprint

from docx import Document
from docx.shared import Inches, Pt
from docx.enum.text import WD_PARAGRAPH_ALIGNMENT

from langchain.schema import (
    AIMessage,
    HumanMessage,
    SystemMessage
)
from langchain.chat_models import ChatOpenAI
from langchain.document_loaders import AsyncHtmlLoader
from langchain.document_transformers import BeautifulSoupTransformer

url = ["https://www.example.com/"]

def summarize_weblink(url):

    loader = AsyncHtmlLoader(url)
    docs = loader.load()

    bs_transformer = BeautifulSoupTransformer()
    docs_transformed = bs_transformer.transform_documents(docs, tags_to_extract=["div"])

    chat = ChatOpenAI()
    messages = [
        SystemMessage(content="You are a helpful assistant that summarize product specification from given input. List top 5 product features. Below the top 5 print price of the product"),
        HumanMessage(content=docs_transformed[0].page_content)]
    summary = chat(messages)

    return summary.content

def write_to_docx(filename="output.docx", logo_path="logo.png"):
    doc = Document()

    section = doc.sections[0]
    header = section.header
    header.paragraphs[0].add_run().add_picture(logo_path, width=Inches(1.5))  # Adjust width as needed

    footer = section.footer
    footer.paragraphs[0].text = "Firma XYZ, Miasto, ul. Ulica 7, email: biuro@gmail.com"

    for _ in range(6):
        doc.add_paragraph()

    oferta_paragraph = doc.add_paragraph()
    oferta_paragraph.alignment = WD_PARAGRAPH_ALIGNMENT.CENTER
    run = oferta_paragraph.add_run("Oferta handlowa")
    run.font.size = Pt(24)

    text = summarize_weblink(url)

    doc.add_paragraph(text)

    doc.save(filename)
    print(f"Text saved to {filename}")

if __name__ == "__main__":
    write_to_docx()