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new 59a8647c15a Update nlp_tensorflow_streaming.ipynb (#40641)
59a8647c15a is described below
commit 59a8647c15a669d55a676d6ab94e7b49b791eb6a
Author: Ryan McGinnis <[email protected]>
AuthorDate: Mon Oct 19 08:52:58 2026 -0700
Update nlp_tensorflow_streaming.ipynb (#40641)
* Update nlp_tensorflow_streaming.ipynb
Update link to YouTube Data API. Also, removes link to code samples because
they aren't actively being maintained and/or they're in the process of being
updated.
* Update examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb
Co-authored-by: github-actions[bot]
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---------
Co-authored-by: github-actions[bot]
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---
examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb | 6 ++----
1 file changed, 2 insertions(+), 4 deletions(-)
diff --git a/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb
b/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb
index 6f5048e7e8e..7785041253e 100644
--- a/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb
+++ b/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb
@@ -54,7 +54,7 @@
"source": [
"Natural Language Processing or NLP is a field of Artifical
Intelligence that enables computers to interpret and understand human language.
It involves multiple steps such as applying various preprocessing functions,
getting predictions from a model, storing the predictions in a useful format,
etc.\n",
"Sentiment Analysis is a popular use case of NLP, which allows
computers to analyze the sentiment of a text. This notebook demonstrates the
use of streaming pipelines in NLP.\n",
- "* Extracts comments using [Youtube
API](https://developers.google.com/youtube/v3) and publishing them to
Pub/Sub\n",
+ "* Extracts comments using [Youtube
API](https://developers.google.com/youtube/data) and publishing them to
Pub/Sub\n",
"* Trains a TensorFlow model to predict the sentiment of text\n",
"* Stores the model in Google Cloud and creates a model handler\n",
"* Builds a Beam pipeline to:\n",
@@ -724,9 +724,7 @@
},
"source": [
"## Extracting and sending comments to Pub/Sub\n",
- "YouTube API provides an interface for accessing YouTube data. First,
we need to enable YouTube API on the Google Cloud Console project. After that,
we need to create a credential, which will further provide an API key. This API
key, along with a video ID can be used to access data of that YouTube video.
The Publisher created earlier is used to publish each comment to Pub/Sub.\n",
- "\n",
- "See examples of using the YouTube API
[here](https://developers.google.com/youtube/v3/code_samples/code_snippets)."
+ "YouTube API provides an interface for accessing YouTube data. First,
we need to enable YouTube API on the Google Cloud Console project. After that,
we need to create a credential, which will further provide an API key. This API
key, along with a video ID can be used to access data of that YouTube video.
The Publisher created earlier is used to publish each comment to Pub/Sub.\n"
]
},
{
