Twitter 读取器¶

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%pip install llama-index-readers-twitter

%pip install llama-index-readers-twitter

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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))

如果您在 colab 上打开此 Notebook，可能需要安装 LlamaIndex 🦙。

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!pip install llama-index

!pip install llama-index

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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

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

# 在 https://developer.twitter.com/en/apps 创建一个应用 BEARER_TOKEN = ""

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

# 创建读取器，指定 Twitter 用户名 reader = TwitterTweetReader(BEARER_TOKEN) documents = reader.load_data(["@twitter_handle1"])

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index = VectorStoreIndex.from_documents(documents)

index = VectorStoreIndex.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>")

# 将日志级别设置为 DEBUG 以获得更详细的输出 query_engine = index.as_query_engine() response = query_engine.query("")

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

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