From 8dd467a6b48e9496dacb1bf37351ccdfa06c0e9b Mon Sep 17 00:00:00 2001 From: Gato <115658935+CollectiveUnicorn@users.noreply.github.com> Date: Wed, 25 Sep 2024 15:56:14 -0700 Subject: [PATCH] fix(whisper): fix whisper transcription of non-english audio (#1066) * This fix ensures that the original language of the audio is what is outputted into the transcribed text. * Adds more logging to the whisper backend * Removes english as the default language and instead use the automatic language detection --- packages/whisper/Makefile | 10 +++++++ packages/whisper/README.md | 5 ++-- packages/whisper/main.py | 45 ++++++++++++++++++----------- tests/data/russian.mp3 | Bin 575507 -> 156611 bytes tests/e2e/test_whisper.py | 56 ++++++++++++++++++++++++++++++++++++- 5 files changed, 97 insertions(+), 19 deletions(-) diff --git a/packages/whisper/Makefile b/packages/whisper/Makefile index 730458a21..ca86c1441 100644 --- a/packages/whisper/Makefile +++ b/packages/whisper/Makefile @@ -1,7 +1,17 @@ +MODEL_NAME ?= openai/whisper-base + install: python -m pip install ../../src/leapfrogai_sdk python -m pip install -e ".[dev]" +download-model: + mkdir -p .model + ct2-transformers-converter --model $(MODEL_NAME) \ + --output_dir .model \ + --copy_files tokenizer.json special_tokens_map.json preprocessor_config.json normalizer.json tokenizer_config.json vocab.json \ + --quantization float32 \ + --force + dev: make install python -m leapfrogai_sdk.cli --app-dir=src/ main:Model diff --git a/packages/whisper/README.md b/packages/whisper/README.md index bdb9ca960..325fc8508 100644 --- a/packages/whisper/README.md +++ b/packages/whisper/README.md @@ -39,8 +39,9 @@ To run the vllm backend locally without K8s (starting from the root directory of make install # Download and convert model -# Change the value for --model to change the whisper base -ct2-transformers-converter --model openai/whisper-base --output_dir .model --copy_files tokenizer.json --quantization float32 +# Change the MODEL_NAME to change the whisper base +export MODEL_NAME=openai/whisper-base +make download-model # Start the model backend make dev diff --git a/packages/whisper/main.py b/packages/whisper/main.py index e3d356ac9..618ef9517 100644 --- a/packages/whisper/main.py +++ b/packages/whisper/main.py @@ -18,7 +18,7 @@ GPU_ENABLED = True if int(os.environ.get("GPU_REQUEST", 0)) > 0 else False -def make_transcribe_request(filename, task, language, temperature, prompt): +def make_whisper_request(filename, task, language, temperature, prompt): device = "cuda" if GPU_ENABLED else "cpu" model = WhisperModel(model_path, device=device, compute_type="float32") @@ -27,18 +27,22 @@ def make_transcribe_request(filename, task, language, temperature, prompt): if task: if task in ["transcribe", "translate"]: kwargs["task"] = task + logger.info(f"Task {task} is starting") else: logger.error(f"Task {task} is not supported") return {"text": ""} if language: if language in model.supported_languages: kwargs["language"] = language + logger.info(f"Language {language} is supported") else: logger.error(f"Language {language} is not supported") if temperature: kwargs["temperature"] = temperature + logger.info(f"Temperature {temperature} is set") if prompt: kwargs["initial_prompt"] = prompt + logger.info(f"Prompt {prompt} is set") try: # Call transcribe with only non-None parameters @@ -62,26 +66,35 @@ def call_whisper( data = bytearray() prompt = "" temperature = 0.0 - inputLanguage = "en" + # By default, automatically detect the language + input_language = None for request in request_iterator: - if ( - request.metadata.prompt - and request.metadata.temperature - and request.metadata.inputlanguage - ): - prompt = request.metadata.prompt - temperature = request.metadata.temperature - inputLanguage = request.metadata.inputlanguage - continue - - data.extend(request.chunk_data) + metadata = request.metadata + updated = False + + if metadata.prompt: + logger.info(f"Updated metadata: Prompt='{prompt}'") + prompt = metadata.prompt + updated = True + + if metadata.temperature: + logger.info(f"Updated metadata: Temperature={temperature}") + temperature = metadata.temperature + updated = True + + if metadata.inputlanguage: + logger.info(f"Updated metadata: Input Language='{input_language}'") + input_language = metadata.inputlanguage + updated = True + + # Metadata updates are done separate from data updates + if not updated: + data.extend(request.chunk_data) with tempfile.NamedTemporaryFile("wb") as f: f.write(data) - result = make_transcribe_request( - f.name, task, inputLanguage, temperature, prompt - ) + result = make_whisper_request(f.name, task, input_language, temperature, prompt) text = str(result["text"]) if task == "transcribe": diff --git a/tests/data/russian.mp3 b/tests/data/russian.mp3 index 4785b213e6a74c1d7dfea99c9ce84b573e2f0423..ce34d4d7efeae8c8a2ec431c1f7f54d474c32372 100644 GIT binary patch literal 156611 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z<=`ytF(H(L!$l|uXK{}Sp&T48LOD2#drS!B;BXPj!CBm6LMR7^i%<^E;vN%1IXGN| za&Q*+m=Mar;UbiSv$((X9~g(2|95}G@;|-ue=tIbP3V8(cz+QwLU6VS<=`ytF(H(L z!$l|uXK{}Sp&T48LOD2#drS!B;BXPj!CBm6LMR7^i%<^E;vN%1IXGN|a&Q*+m=Mar z;UbiSv$)5EP!0|kp&XpWJtl;5aJUHN;4JPjA(Vr|MJNYnagPb192_n}IXH`ZObF%R sa1qMES=?hnC 0, "The translation should not be empty" @@ -73,3 +73,57 @@ def is_english_or_punctuation(c): english_chars = [is_english_or_punctuation(c) for c in translation.text] assert all(english_chars), "Non-English characters have been returned" + + +def test_non_english_transcription(client: OpenAI): + # Arabic transcription + arabic_transcription = client.audio.transcriptions.create( + model="whisper", + file=Path("tests/data/arabic-audio.wav"), + response_format="json", + temperature=0.5, + timestamp_granularities=["word", "segment"], + ) + + assert ( + len(arabic_transcription.text) > 0 + ), "The Arabic transcription should not be empty" + assert ( + len(arabic_transcription.text) < 500 + ), "The Arabic transcription should not be too long" + + def is_arabic_or_punctuation(c): + if c in string.punctuation or c.isspace(): + return True + return unicodedata.name(c).startswith("ARABIC") + + arabic_chars = [is_arabic_or_punctuation(c) for c in arabic_transcription.text] + assert all( + arabic_chars + ), "Non-Arabic characters have been returned in Arabic transcription" + + # Russian transcription + russian_transcription = client.audio.transcriptions.create( + model="whisper", + file=Path("tests/data/russian.mp3"), + response_format="json", + temperature=0.5, + timestamp_granularities=["word", "segment"], + ) + + assert ( + len(russian_transcription.text) > 0 + ), "The Russian transcription should not be empty" + assert ( + len(russian_transcription.text) < 500 + ), "The Russian transcription should not be too long" + + def is_russian_or_punctuation(c): + if c in string.punctuation or c.isspace(): + return True + return unicodedata.name(c).startswith("CYRILLIC") + + russian_chars = [is_russian_or_punctuation(c) for c in russian_transcription.text] + assert all( + russian_chars + ), "Non-Russian characters have been returned in Russian transcription"