Twitter Reader¶

In [ ]:

%pip install llama-index-readers-twitter

%pip install llama-index-readers-twitter

In [ ]:

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))

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

In [ ]:

!pip install llama-index

!pip install llama-index

In [ ]:

from llama_index.core import VectorStoreIndex
from llama_index.readers.twitter import TwitterTweetReader
from IPython.display import Markdown, display
import os

from llama_index.core import VectorStoreIndex from llama_index.readers.twitter import TwitterTweetReader from IPython.display import Markdown, display import os

In [ ]:

# create an app in https://developer.twitter.com/en/apps
BEARER_TOKEN = "<bearer_token>"

# create an app in https://developer.twitter.com/en/apps BEARER_TOKEN = ""

In [ ]:

# create reader, specify twitter handles
reader = TwitterTweetReader(BEARER_TOKEN)
documents = reader.load_data(["@twitter_handle1"])

# create reader, specify twitter handles reader = TwitterTweetReader(BEARER_TOKEN) documents = reader.load_data(["@twitter_handle1"])

In [ ]:

index = VectorStoreIndex.from_documents(documents)

index = VectorStoreIndex.from_documents(documents)

In [ ]:

# 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("")

In [ ]:

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

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