%pip install llama-index-readers-deeplake

!pip install llama-index

import getpass
import os
import random
import textwrap

from llama_index.core import VectorStoreIndex
from llama_index.readers.deeplake import DeepLakeReader


os.environ["OPENAI_API_KEY"] = getpass.getpass("open ai api key: ")

reader = DeepLakeReader()
query_vector = [random.random() for _ in range(1536)]
documents = reader.load_data(
    query_vector=query_vector,
    dataset_path="hub://activeloop/paul_graham_essay",
    limit=5,
)

index = VectorStoreIndex.from_documents(documents)
query_engine = index.as_query_engine()
response = query_engine.query("What was a hard moment for the author?")
print(textwrap.fill(str(response), 100))