Google Docs Reader¶

Demonstrates our Google Docs data connector

If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.

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%pip install llama-index-readers-google

%pip install llama-index-readers-google

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!pip install llama-index

!pip install llama-index

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import logging
import sys

logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))

import logging import sys logging.basicConfig(stream=sys.stdout, level=logging.INFO) logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))

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from llama_index.core import SummaryIndex
from llama_index.readers.google import GoogleDocsReader
from IPython.display import Markdown, display
import os

from llama_index.core import SummaryIndex from llama_index.readers.google import GoogleDocsReader from IPython.display import Markdown, display import os

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# make sure credentials.json file exists
document_ids = ["<document_id>"]
documents = GoogleDocsReader().load_data(document_ids=document_ids)

# make sure credentials.json file exists document_ids = [""] documents = GoogleDocsReader().load_data(document_ids=document_ids)

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index = SummaryIndex.from_documents(documents)

index = SummaryIndex.from_documents(documents)

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# set Logging to DEBUG for more detailed outputs
query_engine = index.as_query_engine()
response = query_engine.query("<query_text>")

# set Logging to DEBUG for more detailed outputs query_engine = index.as_query_engine() response = query_engine.query("")

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display(Markdown(f"<b>{response}</b>"))

display(Markdown(f"{response}"))