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[spark] Add whisper python code (#2513)
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| #!/usr/bin/env python | ||
| # | ||
| # Copyright 2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file | ||
| # except in compliance with the License. A copy of the License is located at | ||
| # | ||
| # http://aws.amazon.com/apache2.0/ | ||
| # | ||
| # or in the "LICENSE.txt" file accompanying this file. This file is distributed on an "AS IS" | ||
| # BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, express or implied. See the License for | ||
| # the specific language governing permissions and limitations under the License. | ||
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| """DJL Spark Tasks Text API.""" | ||
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| from . import whisper_speech_recognizer | ||
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| WhisperSpeechRecognizer = whisper_speech_recognizer.WhisperSpeechRecognizer | ||
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| # Remove unnecessary modules to avoid duplication in API. | ||
| del whisper_speech_recognizer |
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extensions/spark/setup/djl_spark/task/audio/whisper_speech_recognizer.py
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| #!/usr/bin/env python | ||
| # | ||
| # Copyright 2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file | ||
| # except in compliance with the License. A copy of the License is located at | ||
| # | ||
| # http://aws.amazon.com/apache2.0/ | ||
| # | ||
| # or in the "LICENSE.txt" file accompanying this file. This file is distributed on an "AS IS" | ||
| # BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, express or implied. See the License for | ||
| # the specific language governing permissions and limitations under the License. | ||
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| from pyspark import SparkContext | ||
| from pyspark.sql.functions import pandas_udf | ||
| from pyspark.sql.types import StringType | ||
| import io | ||
| import librosa | ||
| import pandas as pd | ||
| from typing import Iterator | ||
| from transformers import pipeline | ||
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| class WhisperSpeechRecognizer: | ||
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| def __init__(self, input_col, output_col, engine, model_url=None, model_name=None): | ||
| """ | ||
| Initializes the WhisperSpeechRecognizer. | ||
| :param input_col: The input column | ||
| :param output_col: The output column | ||
| :param engine: The engine. Currently only PyTorch is supported. | ||
| :param model_url: The model URL | ||
| :param model_name: The model name | ||
| """ | ||
| self.input_col = input_col | ||
| self.output_col = output_col | ||
| self.engine = engine | ||
| self.model_url = model_url | ||
| self.model_name = model_name | ||
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| def recognize(self, dataset, generate_kwargs=None, **kwargs): | ||
| """ | ||
| Performs speech recognition on the provided dataset. | ||
| :param dataset: input dataset | ||
| :return: output dataset | ||
| """ | ||
| sc = SparkContext._active_spark_context | ||
| if not self.model_url and not self.model_name: | ||
| raise ValueError("Either model_url or model_name must be provided.") | ||
| model_name_or_url = self.model_url if self.model_url else self.model_name | ||
| pipe = pipeline("automatic-speech-recognition", generate_kwargs=generate_kwargs, | ||
| model=model_name_or_url, chunk_length_s=30, **kwargs) | ||
| bc_pipe = sc.broadcast(pipe) | ||
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| @pandas_udf(StringType()) | ||
| def predict_udf(iterator: Iterator[pd.Series]) -> Iterator[pd.Series]: | ||
| for s in iterator: | ||
| batch = [] | ||
| for d in s: | ||
| # Model expects single channel, 16000 sample rate audio | ||
| data, sample_rate = librosa.load(io.BytesIO(d), mono=True, sr=16000) | ||
| batch.append(data) | ||
| output = bc_pipe.value(batch) | ||
| text = [o["text"] for o in output] | ||
| yield pd.Series(text) | ||
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| return dataset.withColumn(self.output_col, predict_udf(self.input_col)) |
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extensions/spark/src/main/scala/ai/djl/spark/task/audio/WhisperSpeechRecognizer.scala
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