Twitter Reader¶
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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上打开这个笔记本,您可能需要安装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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# 在 https://developer.twitter.com/en/apps 中创建一个应用程序
BEARER_TOKEN = "<bearer_token>"
# 在 https://developer.twitter.com/en/apps 中创建一个应用程序
BEARER_TOKEN = ""
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# 创建读取器,指定 Twitter 账号
reader = TwitterTweetReader(BEARER_TOKEN)
documents = reader.load_data(["@twitter_handle1"])
# 创建读取器,指定 Twitter 账号
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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# 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("<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}"))