Summarize URL with llama_index and ollama

summary.py

from llama_index.core import VectorStoreIndex, download_loader
from llama_index.llms.ollama import Ollama
from llama_index.embeddings.huggingface import HuggingFaceEmbedding
from llama_index.core import Settings
from llama_index.llms.ollama import Ollama
from IPython.display import display

Settings.llm = Ollama(model="mistral:latest", request_timeout=30.0)
Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5")

SimpleWebPageReader = download_loader("SimpleWebPageReader")

loader = SimpleWebPageReader()
documents = loader.load_data(urls=['https://h3manth.com'])

index = VectorStoreIndex.from_documents(documents)

engine = index.as_query_engine()

response = engine.query("Summarize the website in 5 points")
display((f"{response}"))