charlespnh commented on code in PR #35375: URL: https://github.com/apache/beam/pull/35375#discussion_r2207719948
########## sdks/python/apache_beam/yaml/examples/transforms/ml/inference/README.md: ########## @@ -0,0 +1,95 @@ +<!-- + Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. +--> + +# Inference Examples Catalog + +<!-- TOC --> + +* [Inference Examples Catalog](#examples-catalog) + * [Streaming Sentiment Analysis](#streaming-sentiment-analysis) + +<!-- TOC --> + +## Streaming Sentiment Analysis + +The example leverages the `RunInference` transform with Vertex AI +model handler [VertexAIModelHandlerJSON]( +https://beam.apache.org/releases/pydoc/current/apache_beam.yaml.yaml_ml#apache_beam.yaml.yaml_ml.VertexAIModelHandlerJSONProvider), +in addition to Kafka IO to demonstrate an end-to-end example of a +streaming sentiment analysis pipeline. The dataset to perform +sentiment analysis on is the YouTube video comments and can be found +on Kaggle [here]( +https://www.kaggle.com/datasets/datasnaek/youtube?select=UScomments.csv). + +Download the dataset and copy over to a GCS bucket: +```sh +gcloud storage cp /path/to/UScomments.csv gs://YOUR_BUCKET/UScomments.csv +``` + +For setting up Kafka, an option is to use [Click to Deploy]( Review Comment: Setting up Kafka with Click to Deploy only takes a few button clicks. This doesn't require any manual setup/installation. I've also added link to our [existing Kafka pipeline example](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/yaml/examples/README.md#io). As for creating BQ dataset, I've added a command line. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@beam.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
