From ec56949ba9e98c3c6399a907ed70af53c5d0835e Mon Sep 17 00:00:00 2001 From: chainyo Date: Mon, 17 Jul 2023 15:56:51 +0000 Subject: [PATCH 01/13] first attempt to fix speaker attribution --- .../services/post_processing_service.py | 117 +++++++++++++++++- 1 file changed, 116 insertions(+), 1 deletion(-) diff --git a/wordcab_transcribe/services/post_processing_service.py b/wordcab_transcribe/services/post_processing_service.py index 6c9ab69..e895a83 100644 --- a/wordcab_transcribe/services/post_processing_service.py +++ b/wordcab_transcribe/services/post_processing_service.py @@ -15,6 +15,8 @@ from typing import Any, Dict, List +from loguru import logger + from wordcab_transcribe.utils import ( _convert_ms_to_s, _convert_s_to_ms, @@ -52,7 +54,11 @@ def single_channel_speaker_mapping( Returns: List[dict]: List of sentences with speaker mapping. """ - words_with_speaker_mapping = self.words_speaker_mapping( + # words_with_speaker_mapping = self.words_speaker_mapping( + # transcript_segments, + # speaker_timestamps, + # ) + words_with_speaker_mapping = self.segments_speaker_mapping( transcript_segments, speaker_timestamps, ) @@ -82,6 +88,115 @@ def dual_channel_speaker_mapping( return utterances + def segments_speaker_mapping( + self, + transcript_segments: List[dict], + speaker_timestamps: List[dict], + ) -> List[dict]: + """ + Map each segment to its corresponding speaker based on the speaker timestamps and reconstruct the utterances + when the speaker changes in the middle of a segment. + + Args: + transcript_segments (List[dict]): List of transcript segments. + speaker_timestamps (List[dict]): List of speaker timestamps. + + Returns: + List[dict]: List of sentences with speaker mapping. + """ + turn_idx = 0 + s, end, speaker = speaker_timestamps[turn_idx] + + segment_index = 0 + segment_speaker_mapping = [] + while segment_index < len(transcript_segments): + segment = transcript_segments[segment_index] + segment_start, segment_end, segment_text = ( + _convert_s_to_ms(segment["start"]), + _convert_s_to_ms(segment["end"]), + segment["text"], + ) + + while segment_start > float(end) or abs(segment_start - float(end)) < 50: + turn_idx += 1 + turn_idx = min(turn_idx, len(speaker_timestamps) - 1) + s, end, speaker = speaker_timestamps[turn_idx] + if turn_idx == len(speaker_timestamps) - 1: + end = segment_end + break + + logger.debug(f"Segment {segment_index}: {segment_text}") + logger.debug(f"Speaker {speaker} from {segment_start}/{s} to {segment_end}/{end}") + + if segment_end > float(end): + words = segment["words"] + + word_index = next( + ( + i + for i, word in enumerate(words) + if _convert_s_to_ms(word["start"]) > float(end) + ), + None, + ) + + if word_index is not None: + _splitted_segment = segment_text.split() + + if word_index > 0: + _segment_to_add = dict( + start=words[0]["start"], + end=words[word_index - 1]["end"], + text=" ".join(_splitted_segment[:word_index]), + speaker=speaker, + words=words[:word_index], + ) + + else: + _segment_to_add = dict( + start=words[0]["start"], + end=words[0]["end"], + text=_splitted_segment[0], + speaker=speaker, + words=words[:1], + ) + + segment_speaker_mapping.append(_segment_to_add) + transcript_segments.insert( + segment_index + 1, + dict( + start=words[word_index]["start"], + end=_convert_ms_to_s(segment_end), + text=" ".join(_splitted_segment[word_index:]), + words=words[word_index:], + ) + ) + else: + segment_speaker_mapping.append( + dict( + start=segment_start, + end=segment_end, + text=segment_text, + speaker=speaker, + words=words, + ) + ) + else: + segment_speaker_mapping.append( + dict( + start=segment_start, + end=segment_end, + text=segment_text, + speaker=speaker, + words=segment["words"], + ) + ) + + segment_index += 1 + + return segment_speaker_mapping + + def words_speaker_mapping( self, transcript_segments: List[dict], From 114bcd617fb3d733ce42fdd27a249712975c7b56 Mon Sep 17 00:00:00 2001 From: chainyo Date: Tue, 18 Jul 2023 10:16:55 +0000 Subject: [PATCH 02/13] add threshhold to diarization strategy --- .../services/post_processing_service.py | 26 ++++++++----------- 1 file changed, 11 insertions(+), 15 deletions(-) diff --git a/wordcab_transcribe/services/post_processing_service.py b/wordcab_transcribe/services/post_processing_service.py index e895a83..19bc5c9 100644 --- a/wordcab_transcribe/services/post_processing_service.py +++ b/wordcab_transcribe/services/post_processing_service.py @@ -117,7 +117,7 @@ def segments_speaker_mapping( segment["text"], ) - while segment_start > float(end) or abs(segment_start - float(end)) < 50: + while segment_start > float(end) or abs(segment_start - float(end)) < 300: turn_idx += 1 turn_idx = min(turn_idx, len(speaker_timestamps) - 1) s, end, speaker = speaker_timestamps[turn_idx] @@ -127,6 +127,7 @@ def segments_speaker_mapping( logger.debug(f"Segment {segment_index}: {segment_text}") logger.debug(f"Speaker {speaker} from {segment_start}/{s} to {segment_end}/{end}") + logger.debug(f"Words: {segment['words']}") if segment_end > float(end): words = segment["words"] @@ -136,6 +137,7 @@ def segments_speaker_mapping( i for i, word in enumerate(words) if _convert_s_to_ms(word["start"]) > float(end) + or abs(_convert_s_to_ms(word["start"]) - float(end)) < 300 ), None, ) @@ -174,8 +176,8 @@ def segments_speaker_mapping( else: segment_speaker_mapping.append( dict( - start=segment_start, - end=segment_end, + start=_convert_ms_to_s(segment_start), + end=_convert_ms_to_s(segment_end), text=segment_text, speaker=speaker, words=words, @@ -184,8 +186,8 @@ def segments_speaker_mapping( else: segment_speaker_mapping.append( dict( - start=segment_start, - end=segment_end, + start=_convert_ms_to_s(segment_start), + end=_convert_ms_to_s(segment_end), text=segment_text, speaker=speaker, words=segment["words"], @@ -277,9 +279,9 @@ def reconstruct_utterances( current_sentence["words"] = [] sentences = [] - for word in transcript_words: - text, speaker = word["text"], word["speaker"] - start_t, end_t = word["start"], word["end"] + for segment in transcript_words: + text, speaker = segment["text"], segment["speaker"] + start_t, end_t = segment["start"], segment["end"] if speaker != previous_speaker: sentences.append(current_sentence) @@ -297,13 +299,7 @@ def reconstruct_utterances( current_sentence["text"] += text + " " previous_speaker = speaker if word_timestamps: - current_sentence["words"].append( - dict( - word=text, - start=start_t, - end=end_t, - ) - ) + current_sentence["words"].extend(segment["words"]) # Catch the last sentence sentences.append(current_sentence) From 9abefcc883858e27b03b048b8f1d35085f72cdc5 Mon Sep 17 00:00:00 2001 From: chainyo Date: Tue, 18 Jul 2023 12:27:28 +0000 Subject: [PATCH 03/13] bump deps versions --- poetry.lock | 1681 ++++++++++++++++++++++-------------------------- pyproject.toml | 3 +- 2 files changed, 763 insertions(+), 921 deletions(-) diff --git a/poetry.lock b/poetry.lock index 8bf8f4c..394b7b4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,10 +1,9 @@ -# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. [[package]] name = "absl-py" version = "1.4.0" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -16,7 +15,6 @@ files = [ name = "aiofiles" version = "23.1.0" description = "File support for asyncio." -category = "main" optional = false python-versions = ">=3.7,<4.0" files = [ @@ -28,7 +26,6 @@ files = [ name = "aiohttp" version = "3.8.4" description = "Async http client/server framework (asyncio)" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -137,7 +134,6 @@ speedups = ["Brotli", "aiodns", "cchardet"] name = "aiosignal" version = "1.3.1" description = "aiosignal: a list of registered asynchronous callbacks" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -148,11 +144,24 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" +[[package]] +name = "annotated-types" +version = "0.5.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.7" +files = [ + {file = "annotated_types-0.5.0-py3-none-any.whl", hash = "sha256:58da39888f92c276ad970249761ebea80ba544b77acddaa1a4d6cf78287d45fd"}, + {file = "annotated_types-0.5.0.tar.gz", hash = "sha256:47cdc3490d9ac1506ce92c7aaa76c579dc3509ff11e098fc867e5130ab7be802"}, +] + +[package.dependencies] +typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} + [[package]] name = "antlr4-python3-runtime" version = "4.9.3" description = "ANTLR 4.9.3 runtime for Python 3.7" -category = "main" optional = false python-versions = "*" files = [ @@ -161,14 +170,13 @@ files = [ [[package]] name = "anyio" -version = "3.7.0" +version = "3.7.1" description = "High level compatibility layer for multiple asynchronous event loop implementations" -category = "main" optional = false python-versions = ">=3.7" files = [ - {file = "anyio-3.7.0-py3-none-any.whl", hash = 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Jupyter" -category = "main" optional = false python-versions = ">=3.8" files = [ - {file = "ipykernel-6.23.3-py3-none-any.whl", hash = "sha256:bc00662dc44d4975b668cdb5fefb725e38e9d8d6e28441a519d043f38994922d"}, - {file = "ipykernel-6.23.3.tar.gz", hash = "sha256:dd4e18116357f36a1e459b3768412371bee764c51844cbf25c4ed1eb9cae4a54"}, + {file = "ipykernel-6.24.0-py3-none-any.whl", hash = "sha256:2f5fffc7ad8f1fd5aadb4e171ba9129d9668dbafa374732cf9511ada52d6547f"}, + {file = "ipykernel-6.24.0.tar.gz", hash = "sha256:29cea0a716b1176d002a61d0b0c851f34536495bc4ef7dd0222c88b41b816123"}, ] [package.dependencies] @@ -2187,7 +2131,7 @@ comm = ">=0.1.1" debugpy = ">=1.6.5" ipython = ">=7.23.1" jupyter-client = ">=6.1.12" -jupyter-core = ">=4.12,<5.0.0 || >=5.1.0" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" matplotlib-inline = ">=0.1" nest-asyncio = "*" packaging = "*" @@ -2207,7 +2151,6 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio" name = "ipython" version = 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python-versions = ">=3.6.2,<4.0.0" files = [ @@ -2338,21 +2276,19 @@ python-Levenshtein = "0.12.2" [[package]] name = "joblib" -version = "1.3.0" +version = "1.3.1" description = "Lightweight pipelining with Python functions" -category = "main" optional = false python-versions = ">=3.7" files = [ - {file = "joblib-1.3.0-py3-none-any.whl", hash = "sha256:172d56d4c43dd6bcd953bea213018c4084cf754963bbf54b8dae40faea716b98"}, - {file = "joblib-1.3.0.tar.gz", hash = "sha256:0b12a65dc76c530dbd790dd92881f75c40932b4254a7c8e608a868df408ca0a3"}, + {file = "joblib-1.3.1-py3-none-any.whl", hash = "sha256:89cf0529520e01b3de7ac7b74a8102c90d16d54c64b5dd98cafcd14307fdf915"}, + {file = "joblib-1.3.1.tar.gz", hash = "sha256:1f937906df65329ba98013dc9692fe22a4c5e4a648112de500508b18a21b41e3"}, ] [[package]] name = "jupyter-client" version = "8.3.0" description = "Jupyter protocol implementation and client libraries" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -2362,7 +2298,7 @@ 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wrapper around SoX." -category = "main" optional = false python-versions = "*" files = [ @@ -5645,7 +5528,6 @@ tests = ["pysoundfile (>=0.9.0)", "pytest", "pytest-cov", "pytest-pep8"] name = "soxr" version = "0.3.5" description = "High quality, one-dimensional sample-rate conversion library" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -5690,7 +5572,6 @@ test = ["pytest"] name = "stack-data" version = "0.6.2" description = "Extract data from python stack frames and tracebacks for informative displays" -category = "main" optional = false python-versions = "*" files = [ @@ -5710,7 +5591,6 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] name = "starlette" version = "0.27.0" description = "The little ASGI library that shines." -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -5729,7 +5609,6 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyam name = "stevedore" version = "5.1.0" description = "Manage dynamic plugins for Python applications" -category = "dev" optional = false python-versions = ">=3.8" files = [ @@ -5742,13 +5621,12 @@ pbr = ">=2.0.0,<2.1.0 || >2.1.0" [[package]] name = "svix" -version = "1.5.0" +version = "1.6.0" description = "Svix" -category = "main" optional = false python-versions = ">=3.6" files = [ - {file = "svix-1.5.0.tar.gz", hash = "sha256:5569e3349c04c75fd4de43c68ab34975a1b04b56dad273854df17a32c6bc50bd"}, + {file = "svix-1.6.0.tar.gz", hash = "sha256:c8130c9b47ff735b12549367d1fcdbf366bfc627b4cc0a4d452c30998b6044a1"}, ] [package.dependencies] @@ -5763,7 +5641,6 @@ types-python-dateutil = "*" name = "sympy" version = "1.12" description = "Computer algebra system (CAS) in Python" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -5778,7 +5655,6 @@ mpmath = ">=0.19" name = "tabulate" version = "0.9.0" description = "Pretty-print tabular data" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -5793,7 +5669,6 @@ widechars = ["wcwidth"] name = "tensorboard" version = "2.13.0" description = "TensorBoard lets you watch Tensors Flow" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -5818,7 +5693,6 @@ wheel = ">=0.26" name = "tensorboard-data-server" version = "0.7.1" description = "Fast data loading for TensorBoard" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -5831,7 +5705,6 @@ files = [ name = "termcolor" version = "2.3.0" description = "ANSI color formatting for output in terminal" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -5846,7 +5719,6 @@ tests = ["pytest", "pytest-cov"] name = "text-unidecode" version = "1.3" description = "The most basic Text::Unidecode port" -category = "main" optional = false python-versions = "*" files = [ @@ -5858,7 +5730,6 @@ files = [ name = "texterrors" version = "0.4.4" description = "For WER" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -5910,21 +5781,19 @@ termcolor = "*" [[package]] name = "threadpoolctl" -version = "3.1.0" +version = "3.2.0" description = "threadpoolctl" -category = "main" optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" files = [ - {file = "threadpoolctl-3.1.0-py3-none-any.whl", hash = "sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b"}, - {file = "threadpoolctl-3.1.0.tar.gz", hash = "sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380"}, + {file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"}, + {file = "threadpoolctl-3.2.0.tar.gz", hash = "sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"}, ] [[package]] name = "tokenize-rt" version = "5.1.0" description = "A wrapper around the stdlib `tokenize` which roundtrips." -category = "dev" optional = false python-versions = ">=3.8" files = [ @@ -5936,7 +5805,6 @@ files = [ name = "tokenizers" version = "0.13.3" description = "Fast and Customizable Tokenizers" -category = "main" optional = false python-versions = "*" files = [ @@ -5991,7 +5859,6 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"] name = "tomli" version = "2.0.1" description = "A lil' TOML parser" -category = "dev" optional = false python-versions = ">=3.7" files = [ @@ -6003,7 +5870,6 @@ files = [ name = "torch" version = "2.0.0" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" -category = "main" optional = false python-versions = ">=3.8.0" files = [ @@ -6059,7 +5925,6 @@ opt-einsum = ["opt-einsum (>=3.3)"] name = "torchaudio" version = "2.0.1" description = "An audio package for PyTorch" -category = "main" optional = false python-versions = "*" files = [ @@ -6090,36 +5955,37 @@ torch = "2.0.0" [[package]] name = "torchmetrics" -version = "0.11.4" +version = "1.0.1" description = "PyTorch native Metrics" -category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "torchmetrics-0.11.4-py3-none-any.whl", hash = "sha256:45f892f3534e91f3ad9e2488d1b05a93b7cb76b7d037969435a41a1f24750d9a"}, - {file = "torchmetrics-0.11.4.tar.gz", hash = "sha256:1fe45a14b44dd65d90199017dd5a4b5a128d56a8a311da7916c402c18c671494"}, + {file = "torchmetrics-1.0.1-py3-none-any.whl", hash = "sha256:5278ebdf4ecc168d88d87d3f02045ceee6a4a4ae24d8bf09d616ab67441dde0a"}, ] [package.dependencies] -numpy = ">=1.17.2" +lightning-utilities = ">=0.7.0" +numpy = ">1.20.0" packaging = "*" torch = ">=1.8.1" typing-extensions = {version = "*", markers = "python_version < \"3.9\""} [package.extras] -all = ["lpips (<=0.1.4)", "nltk (>=3.6)", "pycocotools (>2.0.0)", "pystoi (<=0.3.3)", "regex (>=2021.9.24)", "scipy (>1.0.0)", "torch-fidelity (<=0.3.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>=4.10.0)"] -audio = ["pystoi (<=0.3.3)"] +all = ["SciencePlots (>=2.0.0)", "lpips (<=0.1.4)", "matplotlib (>=3.2.0)", "mypy (==1.4.1)", "nltk (>=3.6)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "regex (>=2021.9.24)", "scipy (>1.0.0)", "torch-fidelity (<=0.3.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"] +audio = ["pystoi (>=0.3.0)", "torchaudio (>=0.10.0)"] detection = ["pycocotools (>2.0.0)", "torchvision (>=0.8)"] +dev = ["SciencePlots (>=2.0.0)", "bert-score (==0.3.13)", "cloudpickle (>1.3)", "coverage (==7.2.7)", "dython (<=0.7.4)", "fairlearn", "fast-bss-eval (>=0.1.0)", "fire (<=0.5.0)", "huggingface-hub (<0.16)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "lpips (<=0.1.4)", "matplotlib (>=3.2.0)", "mir-eval (>=0.6)", "mypy (==1.4.1)", "netcal (>1.0.0)", "nltk (>=3.6)", "numpy (<1.25.0)", "pandas (>1.0.0)", "pandas (>=1.4.0)", "phmdoctest (==1.4.0)", "psutil (<=5.9.5)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-doctestplus (==0.13.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "requests (<=2.31.0)", "rouge-score (>0.1.0)", "sacrebleu (>=2.0.0)", "scikit-image (>=0.19.0)", "scikit-learn (>=1.1.1)", "scipy (>1.0.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch-complex (<=0.4.3)", "torch-fidelity (<=0.3.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"] image = ["lpips (<=0.1.4)", "scipy (>1.0.0)", "torch-fidelity (<=0.3.0)", "torchvision (>=0.8)"] multimodal = ["transformers (>=4.10.0)"] -test = ["bert-score (==0.3.13)", "cloudpickle (>1.3)", "coverage (>5.2)", "dython (<=0.7.3)", "fast-bss-eval (>=0.1.0)", "fire (<=0.5.0)", "huggingface-hub (<0.7)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "mir-eval (>=0.6)", "mypy (==0.982)", "netcal (>1.0.0)", "pandas (>1.0.0)", "phmdoctest (>=1.1.1)", "psutil (<=5.9.4)", "pypesq (>1.2)", "pytest (>=6.0.0)", "pytest-cov (>2.10)", "pytest-doctestplus (>=0.9.0)", "pytest-rerunfailures (>=10.0)", "pytest-timeout (<=2.1.0)", "pytorch-msssim (==0.2.1)", "requests (<=2.28.2)", "rouge-score (>0.1.0)", "sacrebleu (>=2.0.0)", "scikit-image (>0.17.1)", "scikit-learn (>1.0)", "scipy (>1.0.0)", "torch-complex (<=0.4.3)", "transformers (>4.4.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"] +test = ["bert-score (==0.3.13)", "cloudpickle (>1.3)", "coverage (==7.2.7)", "dython (<=0.7.4)", "fairlearn", "fast-bss-eval (>=0.1.0)", "fire (<=0.5.0)", "huggingface-hub (<0.16)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "mir-eval (>=0.6)", "netcal (>1.0.0)", "numpy (<1.25.0)", "pandas (>1.0.0)", "pandas (>=1.4.0)", "phmdoctest (==1.4.0)", "psutil (<=5.9.5)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-doctestplus (==0.13.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "pytorch-msssim (==1.0.0)", "requests (<=2.31.0)", "rouge-score (>0.1.0)", "sacrebleu (>=2.0.0)", "scikit-image (>=0.19.0)", "scikit-learn (>=1.1.1)", "scipy (>1.0.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch-complex (<=0.4.3)", "transformers (>4.4.0)"] text = ["nltk (>=3.6)", "regex (>=2021.9.24)", "tqdm (>=4.41.0)"] +typing = ["mypy (==1.4.1)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"] +visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.2.0)"] [[package]] name = "tornado" version = "6.3.2" description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed." -category = "main" optional = false python-versions = ">= 3.8" files = [ @@ -6140,7 +6006,6 @@ files = [ name = "tqdm" version = "4.65.0" description = "Fast, Extensible Progress Meter" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -6161,7 +6026,6 @@ telegram = ["requests"] name = "traitlets" version = "5.9.0" description = "Traitlets Python configuration system" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -6177,7 +6041,6 @@ test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"] name = "transformers" version = "4.30.2" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" -category = "main" optional = false python-versions = ">=3.7.0" files = [ @@ -6247,7 +6110,6 @@ vision = ["Pillow"] name = "triton" version = "2.0.0" description = "A language and compiler for custom Deep Learning operations" -category = "main" optional = false python-versions = "*" files = [ @@ -6285,7 +6147,6 @@ tutorials = ["matplotlib", "pandas", "tabulate"] name = "typer" version = "0.9.0" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -6310,7 +6171,6 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6. name = "types-deprecated" version = "1.2.9.2" description = "Typing stubs for Deprecated" -category = "main" optional = false python-versions = "*" files = [ @@ -6322,7 +6182,6 @@ files = [ name = "types-python-dateutil" version = "2.8.19.13" description = "Typing stubs for python-dateutil" -category = "main" optional = false python-versions = "*" files = [ @@ -6332,21 +6191,19 @@ files = [ [[package]] name = "typing-extensions" -version = "4.7.0" +version = "4.7.1" description = "Backported and Experimental Type Hints for Python 3.7+" -category = "main" optional = false python-versions = ">=3.7" files = [ - {file = "typing_extensions-4.7.0-py3-none-any.whl", hash = "sha256:5d8c9dac95c27d20df12fb1d97b9793ab8b2af8a3a525e68c80e21060c161771"}, - {file = "typing_extensions-4.7.0.tar.gz", hash = "sha256:935ccf31549830cda708b42289d44b6f74084d616a00be651601a4f968e77c82"}, + {file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"}, + {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"}, ] [[package]] name = "tzdata" version = "2023.3" description = "Provider of IANA time zone data" -category = "main" optional = false python-versions = ">=2" files = [ @@ -6358,7 +6215,6 @@ files = [ name = "urllib3" version = "1.26.16" description = "HTTP library with thread-safe connection pooling, file post, and more." -category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" files = [ @@ -6373,33 +6229,32 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] [[package]] name = "uvicorn" -version = "0.22.0" +version = "0.23.1" description = "The lightning-fast ASGI server." -category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "uvicorn-0.22.0-py3-none-any.whl", hash = "sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996"}, - {file = "uvicorn-0.22.0.tar.gz", hash = "sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8"}, + {file = "uvicorn-0.23.1-py3-none-any.whl", hash = "sha256:1d55d46b83ee4ce82b4e82f621f2050adb3eb7b5481c13f9af1744951cae2f1f"}, + {file = "uvicorn-0.23.1.tar.gz", hash = "sha256:da9b0c8443b2d7ee9db00a345f1eee6db7317432c9d4400f5049cc8d358383be"}, ] [package.dependencies] click = ">=7.0" h11 = ">=0.8" +typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} [package.extras] standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] [[package]] name = "virtualenv" -version = "20.23.1" +version = "20.24.0" description = "Virtual Python Environment builder" -category = "dev" optional = false python-versions = ">=3.7" files = [ - {file = "virtualenv-20.23.1-py3-none-any.whl", hash = "sha256:34da10f14fea9be20e0fd7f04aba9732f84e593dac291b757ce42e3368a39419"}, - {file = "virtualenv-20.23.1.tar.gz", hash = "sha256:8ff19a38c1021c742148edc4f81cb43d7f8c6816d2ede2ab72af5b84c749ade1"}, + {file = "virtualenv-20.24.0-py3-none-any.whl", hash = "sha256:18d1b37fc75cc2670625702d76849a91ebd383768b4e91382a8d51be3246049e"}, + {file = "virtualenv-20.24.0.tar.gz", hash = "sha256:e2a7cef9da880d693b933db7654367754f14e20650dc60e8ee7385571f8593a3"}, ] [package.dependencies] @@ -6413,19 +6268,18 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess [[package]] name = "wandb" -version = "0.15.4" +version = "0.15.5" description = "A CLI and library for interacting with the Weights and Biases API." -category = "main" optional = false python-versions = ">=3.6" files = [ - {file = "wandb-0.15.4-py3-none-any.whl", hash = "sha256:9018565177e1be14d7d0dd470c583206031c6027c32a98c57fa3bb83955143d7"}, - {file = "wandb-0.15.4.tar.gz", hash = "sha256:472daaaa1a4e29a46407a85fd77aadb724c91d87dfe2c37cd82ef77be2257011"}, + {file = "wandb-0.15.5-py3-none-any.whl", hash = "sha256:8cfb8fdaaf0a35b636d0ca2c2c1262b0e3d835ac37f70fc3094b618f55f63f01"}, + {file = "wandb-0.15.5.tar.gz", hash = "sha256:40c1d9ae501194bff408bc9c555865ffcccf08d2d65dd413547df0c17ed20cb5"}, ] [package.dependencies] appdirs = ">=1.4.3" -Click = ">=7.0,<8.0.0 || >8.0.0" +Click = ">=7.1,<8.0.0 || >8.0.0" docker-pycreds = ">=0.4.0" GitPython = ">=1.0.0,<3.1.29 || >3.1.29" pathtools = "*" @@ -6449,7 +6303,7 @@ azure = ["azure-identity", "azure-storage-blob"] gcp = ["google-cloud-storage"] grpc = ["grpcio (>=1.27.2)"] kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"] -launch = ["awscli", "boto3", "botocore", "chardet", "google-auth", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "kubernetes", "nbconvert", "nbformat", "optuna", "typing-extensions"] +launch = ["awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "kubernetes", "nbconvert", "nbformat", "optuna", "typing-extensions"] media = ["bokeh", "moviepy", "numpy", "pillow", "plotly", "rdkit-pypi", "soundfile"] models = ["cloudpickle"] sweeps = ["sweeps (>=0.2.0)"] @@ -6458,7 +6312,6 @@ sweeps = ["sweeps (>=0.2.0)"] name = "wcwidth" version = "0.2.6" description = "Measures the displayed width of unicode strings in a terminal" -category = "main" optional = false python-versions = "*" files = [ @@ -6470,7 +6323,6 @@ files = [ name = "webdataset" version = "0.1.62" description = "Record sequential storage for deep learning." -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -6486,7 +6338,6 @@ numpy = "*" name = "websockets" version = "11.0.3" description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -6566,7 +6417,6 @@ files = [ name = "werkzeug" version = "2.3.6" description = "The comprehensive WSGI web application library." -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -6584,7 +6434,6 @@ watchdog = ["watchdog (>=2.3)"] name = "wget" version = "3.2" description = "pure python download utility" -category = "main" optional = false python-versions = "*" files = [ @@ -6595,7 +6444,6 @@ files = [ name = "wheel" version = "0.40.0" description = "A built-package format for Python" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -6608,21 +6456,19 @@ test = ["pytest (>=6.0.0)"] [[package]] name = "widgetsnbextension" -version = "4.0.7" +version = "4.0.8" description = "Jupyter interactive widgets for Jupyter Notebook" -category = "main" optional = false python-versions = ">=3.7" files = [ - {file = "widgetsnbextension-4.0.7-py3-none-any.whl", hash = "sha256:be3228a73bbab189a16be2d4a3cd89ecbd4e31948bfdc64edac17dcdee3cd99c"}, - {file = "widgetsnbextension-4.0.7.tar.gz", hash = "sha256:ea67c17a7cd4ae358f8f46c3b304c40698bc0423732e3f273321ee141232c8be"}, + {file = "widgetsnbextension-4.0.8-py3-none-any.whl", hash = "sha256:2e37f0ce9da11651056280c7efe96f2db052fe8fc269508e3724f5cbd6c93018"}, + {file = "widgetsnbextension-4.0.8.tar.gz", hash = "sha256:9ec291ba87c2dfad42c3d5b6f68713fa18be1acd7476569516b2431682315c17"}, ] [[package]] name = "win32-setctime" version = "1.1.0" description = "A small Python utility to set file creation time on Windows" -category = "main" optional = false python-versions = ">=3.5" files = [ @@ -6637,7 +6483,6 @@ dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"] name = "wrapt" version = "1.15.0" description = "Module for decorators, wrappers and monkey patching." -category = "main" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" files = [ @@ -6722,7 +6567,6 @@ files = [ name = "yarl" version = "1.9.2" description = "Yet another URL library" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -6810,7 +6654,6 @@ multidict = ">=4.0" name = "youtokentome" version = "1.0.6" description = "" -category = "main" optional = false python-versions = ">=3.5.0" files = [] @@ -6827,14 +6670,13 @@ resolved_reference = "a2614d3e66cefd8d0fa73b23bc951feb98830090" [[package]] name = "yt-dlp" -version = "2023.6.22" +version = "2023.7.6" description = "A youtube-dl fork with additional features and patches" -category = "main" optional = false python-versions = ">=3.7" files = [ - {file = "yt-dlp-2023.6.22.tar.gz", hash = "sha256:ed6a8b8e0ad08a4540d4afa0fd08a7f980022c79b9081bd9e63ddc00aeeee5a8"}, - {file = "yt_dlp-2023.6.22-py2.py3-none-any.whl", hash = "sha256:c559885322f7f492c1e7fc8f5a59e2a72e47719b59575599cf8b0e69ea70d0a8"}, + {file = "yt-dlp-2023.7.6.tar.gz", hash = "sha256:cb58373869c8ccb5034746f91cfccd6d25ea697090dfd6f93e9034d51eb4aed2"}, + {file = "yt_dlp-2023.7.6-py2.py3-none-any.whl", hash = "sha256:b33b3f68751f33dd8290f1f61f7a011679b3b512aa223df3bff496688bc0bd19"}, ] [package.dependencies] @@ -6847,21 +6689,20 @@ websockets = "*" [[package]] name = "zipp" -version = "3.15.0" +version = "3.16.2" description = "Backport of pathlib-compatible object wrapper for zip files" -category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"}, - {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"}, + {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"}, + {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<3.10" -content-hash = "982e197b78c7b1685bd377057b332f9c6baaf5c1eece55bdfc6876f7897d44e0" +content-hash = "d4de920d131eef516b9c60f71bba7805e841dcb86a246f4c1e25d43a73a134cc" diff --git a/pyproject.toml b/pyproject.toml index 9550212..6d64cdc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,9 +10,10 @@ python = ">=3.8.1,<3.10" aiohttp = ">=3.8.4" aiofiles = ">=23.1.0" argon2-cffi = ">=21.3.0" +ctranslate2 = ">=3.17,<4" cython = ">=0.29.24" fastapi = ">=0.96.0" -faster-whisper = ">=0.3.0" +faster-whisper = { git = "https://github.com/guillaumekln/faster-whisper", rev = "3b4a6aa1c22d293ddde9f08bdd31fc842086a6ea" } ffmpeg-python = ">=0.2.0" loguru = ">=0.6.0" nemo-toolkit = { version = ">=1.17.0", extras = ["asr"] } From a4eea63550a87e37d4d8910c27faf9fc08c9c479 Mon Sep 17 00:00:00 2001 From: chainyo Date: Tue, 18 Jul 2023 12:29:33 +0000 Subject: [PATCH 04/13] clean new implementation --- .../services/post_processing_service.py | 68 ++----------------- 1 file changed, 4 insertions(+), 64 deletions(-) diff --git a/wordcab_transcribe/services/post_processing_service.py b/wordcab_transcribe/services/post_processing_service.py index 19bc5c9..c32d291 100644 --- a/wordcab_transcribe/services/post_processing_service.py +++ b/wordcab_transcribe/services/post_processing_service.py @@ -15,14 +15,11 @@ from typing import Any, Dict, List -from loguru import logger - from wordcab_transcribe.utils import ( _convert_ms_to_s, _convert_s_to_ms, convert_timestamp, format_punct, - get_segment_timestamp_anchor, is_empty_string, ) @@ -54,17 +51,13 @@ def single_channel_speaker_mapping( Returns: List[dict]: List of sentences with speaker mapping. """ - # words_with_speaker_mapping = self.words_speaker_mapping( - # transcript_segments, - # speaker_timestamps, - # ) - words_with_speaker_mapping = self.segments_speaker_mapping( + segments_with_speaker_mapping = self.segments_speaker_mapping( transcript_segments, speaker_timestamps, ) utterances = self.reconstruct_utterances( - words_with_speaker_mapping, word_timestamps + segments_with_speaker_mapping, word_timestamps ) return utterances @@ -105,7 +98,7 @@ def segments_speaker_mapping( List[dict]: List of sentences with speaker mapping. """ turn_idx = 0 - s, end, speaker = speaker_timestamps[turn_idx] + _, end, speaker = speaker_timestamps[turn_idx] segment_index = 0 segment_speaker_mapping = [] @@ -120,15 +113,11 @@ def segments_speaker_mapping( while segment_start > float(end) or abs(segment_start - float(end)) < 300: turn_idx += 1 turn_idx = min(turn_idx, len(speaker_timestamps) - 1) - s, end, speaker = speaker_timestamps[turn_idx] + _, end, speaker = speaker_timestamps[turn_idx] if turn_idx == len(speaker_timestamps) - 1: end = segment_end break - logger.debug(f"Segment {segment_index}: {segment_text}") - logger.debug(f"Speaker {speaker} from {segment_start}/{s} to {segment_end}/{end}") - logger.debug(f"Words: {segment['words']}") - if segment_end > float(end): words = segment["words"] @@ -198,55 +187,6 @@ def segments_speaker_mapping( return segment_speaker_mapping - - def words_speaker_mapping( - self, - transcript_segments: List[dict], - speaker_timestamps: List[str], - ) -> List[dict]: - """ - Map each word to its corresponding speaker based on the speaker timestamps. - - Args: - transcript_segments (List[dict]): List of transcript segments. - speaker_timestamps (List[str]): List of speaker timestamps. - - Returns: - List[dict]: List of words with speaker mapping. - """ - _, end, speaker = speaker_timestamps[0] - turn_idx = 0 - - all_words = [] - for segment in transcript_segments: - all_words.extend(segment["words"]) - - mapped_words = [] - for word in all_words: - word_start, word_end = _convert_s_to_ms(word["start"]), _convert_s_to_ms( - word["end"] - ) - while word_start > float(end): - turn_idx += 1 - turn_idx = min(turn_idx, len(speaker_timestamps) - 1) - _, end, speaker = speaker_timestamps[turn_idx] - if turn_idx == len(speaker_timestamps) - 1: - end = get_segment_timestamp_anchor( - word_start, word_end, option="end" - ) - break - - mapped_words.append( - { - "start": _convert_ms_to_s(word_start), - "end": _convert_ms_to_s(word_end), - "text": word["word"], - "speaker": speaker, - } - ) - - return mapped_words - def reconstruct_utterances( self, transcript_words: List[dict], From a9419dee5f365b9c9b84a18345013d439daf7ce2 Mon Sep 17 00:00:00 2001 From: chainyo Date: Tue, 18 Jul 2023 13:03:37 +0000 Subject: [PATCH 05/13] update for pydanticv2 --- .env | 3 +- wordcab_transcribe/config.py | 143 +++++++++++++++++++++++------------ 2 files changed, 95 insertions(+), 51 deletions(-) diff --git a/.env b/.env index 083e93f..854151a 100644 --- a/.env +++ b/.env @@ -43,8 +43,7 @@ MAX_WAIT=0.1 # docker cmd: -v /path/to/custom/model:/app/models/custom WHISPER_MODEL="large-v2" # The compute_type parameter is used to control the precision of the model. You can choose between: -# "int8", "int8_float16", "int16", "float_16". The default value is "int8_float16", which is the fastest option with -# minimal loss in accuracy using the `large-v2` model. +# "int8", "int8_float16", "int16", "float_16", "float32". The default value is "float16". COMPUTE_TYPE="float16" # The extra_languages parameter is used to control the languages that need an extra model to be loaded. # You can specify multiple languages separated by a comma. The available languages are: `he` (Hebrew). diff --git a/wordcab_transcribe/config.py b/wordcab_transcribe/config.py index 7af294c..2a7fc93 100644 --- a/wordcab_transcribe/config.py +++ b/wordcab_transcribe/config.py @@ -15,12 +15,12 @@ from os import getenv from pathlib import Path -from typing import Dict, List, Union +from typing import Dict, List from dotenv import load_dotenv from faster_whisper.utils import _MODELS from loguru import logger -from pydantic import validator +from pydantic import field_validator from pydantic.dataclasses import dataclass @@ -67,80 +67,125 @@ class Settings: svix_api_key: str svix_app_id: str - @validator("project_name", "version", "description", "api_prefix") - def basic_parameters_must_not_be_none( - cls, value: str, field: str # noqa: B902, N805 - ): - """Check that the authentication parameters are not None.""" - if value is None: + @field_validator("project_name") + def project_name_must_not_be_none(cls, v): # noqa: B902, N805 + """Check that the project_name is not None.""" + if v is None: raise ValueError( - f"{field.name} must not be None, please verify the `.env` file." + "`project_name` must not be None, please verify the `.env` file." ) - return value - - @validator("batch_size", "max_wait") - def batch_request_parameters_must_be_positive( - cls, value: Union[int, float], field: str # noqa: B902, N805 - ): - """Check that the model parameters are positive.""" - if value <= 0: - raise ValueError(f"{field.name} must be positive.") - return value - - @validator("whisper_model") - def whisper_model_must_be_valid(cls, value: str): # noqa: B902, N805 + + return v + + @field_validator("version") + def version_must_not_be_none(cls, v): # noqa: B902, N805 + """Check that the version is not None.""" + if v is None: + raise ValueError("`version` must not be None, please verify the `.env` file.") + + return v + + @field_validator("description") + def description_must_not_be_none(cls, v): # noqa: B902, N805 + """Check that the description is not None.""" + if v is None: + raise ValueError( + "`description` must not be None, please verify the `.env` file." + ) + + return v + + @field_validator("api_prefix") + def api_prefix_must_not_be_none(cls, v): # noqa: B902, N805 + """Check that the api_prefix is not None.""" + if v is None: + raise ValueError( + "`api_prefix` must not be None, please verify the `.env` file." + ) + + return v + + @field_validator("batch_size") + def batch_size_must_be_positive(cls, v): # noqa: B902, N805 + """Check that the batch_size is positive.""" + if v <= 0: + raise ValueError("`batch_size` must be positive, please verify the `.env` file.") + + return v + + @field_validator("max_wait") + def max_wait_must_be_positive(cls, v): # noqa: B902, N805 + """Check that the max_wait is positive.""" + if v <= 0: + raise ValueError("`max_wait` must be positive, please verify the `.env` file.") + + return v + + @field_validator("whisper_model") + def whisper_model_must_be_valid(cls, v): # noqa: B902, N805 """Check that the model name is valid. It can be a local path or a model name.""" - model_path = Path(value) + model_path = Path(v) + if model_path.exists() is False: - if value not in _MODELS: + if v not in _MODELS: raise ValueError( - f"{value} is not a valid model name. Choose one of {_MODELS}." + f"{v} is not a valid model name. Choose one of {_MODELS}." "If you want to use a local model, please provide a valid path." ) - return value - @validator("compute_type") - def compute_type_must_be_valid(cls, value: str): # noqa: B902, N805 + return v + + @field_validator("compute_type") + def compute_type_must_be_valid(cls, v): # noqa: B902, N805 """Check that the model precision is valid.""" - if value not in {"int8", "int8_float16", "int16", "float16"}: + if v not in {"int8", "int8_float16", "int16", "float16", "float32"}: raise ValueError( - f"{value} is not a valid compute type. Choose one of int8, int8_float16, int16, float16." + f"{v} is not a valid compute type. " + "Choose one of int8, int8_float16, int16, float16, float32." ) - return value - @validator("nemo_domain_type") - def nemo_domain_type_must_be_valid(cls, value: str): # noqa: B902, N805 + return v + + @field_validator("nemo_domain_type") + def nemo_domain_type_must_be_valid(cls, v): # noqa: B902, N805 """Check that the model precision is valid.""" - if value not in {"general", "telephonic", "meeting"}: - raise ValueError(f"{value} is not a valid domain type.") - return value + if v not in {"general", "telephonic", "meeting"}: + raise ValueError( + f"{v} is not a valid domain type. " + "Choose one of general, telephonic, meeting." + ) + + return v - @validator("asr_type") - def asr_type_must_be_valid(cls, value: str): # noqa: B902, N805 + @field_validator("asr_type") + def asr_type_must_be_valid(cls, v): # noqa: B902, N805 """Check that the ASR type is valid.""" - if value not in {"async", "live"}: + if v not in {"async", "live"}: raise ValueError( - f"{value} is not a valid ASR type. Choose between `async` or `live`." + f"{v} is not a valid ASR type. Choose between `async` or `live`." ) - return value - @validator("openssl_algorithm") - def openssl_algorithm_must_be_valid(cls, value: str): # noqa: B902, N805 + return v + + @field_validator("openssl_algorithm") + def openssl_algorithm_must_be_valid(cls, v): # noqa: B902, N805 """Check that the OpenSSL algorithm is valid.""" - if value not in {"HS256", "HS384", "HS512"}: + if v not in {"HS256", "HS384", "HS512"}: raise ValueError( "openssl_algorithm must be a valid algorithm, please verify the `.env` file." ) - return value - @validator("access_token_expire_minutes") - def access_token_expire_minutes_must_be_valid(cls, value: int): # noqa: B902, N805 + return v + + @field_validator("access_token_expire_minutes") + def access_token_expire_minutes_must_be_valid(cls, v): # noqa: B902, N805 """Check that the access token expiration is valid. Only if debug is False.""" - if value <= 0: + if v <= 0: raise ValueError( "access_token_expire_minutes must be positive, please verify the `.env` file." ) - return value + + return v def __post_init__(self): """Post initialization checks.""" From 12a79846293f630e4303bbd3e44a7bbfae0d45ac Mon Sep 17 00:00:00 2001 From: chainyo Date: Tue, 18 Jul 2023 13:14:16 +0000 Subject: [PATCH 06/13] fix models for pydanticv2 --- wordcab_transcribe/config.py | 82 ++++++++++++++++++------------------ wordcab_transcribe/models.py | 40 ++++++++++-------- 2 files changed, 63 insertions(+), 59 deletions(-) diff --git a/wordcab_transcribe/config.py b/wordcab_transcribe/config.py index 2a7fc93..1bbf2fe 100644 --- a/wordcab_transcribe/config.py +++ b/wordcab_transcribe/config.py @@ -68,124 +68,124 @@ class Settings: svix_app_id: str @field_validator("project_name") - def project_name_must_not_be_none(cls, v): # noqa: B902, N805 + def project_name_must_not_be_none(cls, value: str): # noqa: B902, N805 """Check that the project_name is not None.""" - if v is None: + if value is None: raise ValueError( "`project_name` must not be None, please verify the `.env` file." ) - return v + return value @field_validator("version") - def version_must_not_be_none(cls, v): # noqa: B902, N805 + def version_must_not_be_none(cls, value: str): # noqa: B902, N805 """Check that the version is not None.""" - if v is None: + if value is None: raise ValueError("`version` must not be None, please verify the `.env` file.") - return v + return value @field_validator("description") - def description_must_not_be_none(cls, v): # noqa: B902, N805 + def description_must_not_be_none(cls, value: str): # noqa: B902, N805 """Check that the description is not None.""" - if v is None: + if value is None: raise ValueError( "`description` must not be None, please verify the `.env` file." ) - return v + return value @field_validator("api_prefix") - def api_prefix_must_not_be_none(cls, v): # noqa: B902, N805 + def api_prefix_must_not_be_none(cls, value: str): # noqa: B902, N805 """Check that the api_prefix is not None.""" - if v is None: + if value is None: raise ValueError( "`api_prefix` must not be None, please verify the `.env` file." ) - return v + return value @field_validator("batch_size") - def batch_size_must_be_positive(cls, v): # noqa: B902, N805 + def batch_size_must_be_positive(cls, value: int): # noqa: B902, N805 """Check that the batch_size is positive.""" - if v <= 0: + if value <= 0: raise ValueError("`batch_size` must be positive, please verify the `.env` file.") - return v + return value @field_validator("max_wait") - def max_wait_must_be_positive(cls, v): # noqa: B902, N805 + def max_wait_must_be_positive(cls, value: float): # noqa: B902, N805 """Check that the max_wait is positive.""" - if v <= 0: + if value <= 0: raise ValueError("`max_wait` must be positive, please verify the `.env` file.") - return v + return value @field_validator("whisper_model") - def whisper_model_must_be_valid(cls, v): # noqa: B902, N805 + def whisper_model_must_be_valid(cls, value: str): # noqa: B902, N805 """Check that the model name is valid. It can be a local path or a model name.""" - model_path = Path(v) + model_path = Path(value) if model_path.exists() is False: - if v not in _MODELS: + if value not in _MODELS: raise ValueError( - f"{v} is not a valid model name. Choose one of {_MODELS}." + f"{value} is not a valid model name. Choose one of {_MODELS}." "If you want to use a local model, please provide a valid path." ) - return v + return value @field_validator("compute_type") - def compute_type_must_be_valid(cls, v): # noqa: B902, N805 + def compute_type_must_be_valid(cls, value: str): # noqa: B902, N805 """Check that the model precision is valid.""" - if v not in {"int8", "int8_float16", "int16", "float16", "float32"}: + if value not in {"int8", "int8_float16", "int16", "float16", "float32"}: raise ValueError( - f"{v} is not a valid compute type. " + f"{value} is not a valid compute type. " "Choose one of int8, int8_float16, int16, float16, float32." ) - return v + return value @field_validator("nemo_domain_type") - def nemo_domain_type_must_be_valid(cls, v): # noqa: B902, N805 + def nemo_domain_type_must_be_valid(cls, value: str): # noqa: B902, N805 """Check that the model precision is valid.""" - if v not in {"general", "telephonic", "meeting"}: + if value not in {"general", "telephonic", "meeting"}: raise ValueError( - f"{v} is not a valid domain type. " + f"{value} is not a valid domain type. " "Choose one of general, telephonic, meeting." ) - return v + return value @field_validator("asr_type") - def asr_type_must_be_valid(cls, v): # noqa: B902, N805 + def asr_type_must_be_valid(cls, value: str): # noqa: B902, N805 """Check that the ASR type is valid.""" - if v not in {"async", "live"}: + if value not in {"async", "live"}: raise ValueError( - f"{v} is not a valid ASR type. Choose between `async` or `live`." + f"{value} is not a valid ASR type. Choose between `async` or `live`." ) - return v + return value @field_validator("openssl_algorithm") - def openssl_algorithm_must_be_valid(cls, v): # noqa: B902, N805 + def openssl_algorithm_must_be_valid(cls, value: str): # noqa: B902, N805 """Check that the OpenSSL algorithm is valid.""" - if v not in {"HS256", "HS384", "HS512"}: + if value not in {"HS256", "HS384", "HS512"}: raise ValueError( "openssl_algorithm must be a valid algorithm, please verify the `.env` file." ) - return v + return value @field_validator("access_token_expire_minutes") - def access_token_expire_minutes_must_be_valid(cls, v): # noqa: B902, N805 + def access_token_expire_minutes_must_be_valid(cls, value: int): # noqa: B902, N805 """Check that the access token expiration is valid. Only if debug is False.""" - if v <= 0: + if value <= 0: raise ValueError( "access_token_expire_minutes must be positive, please verify the `.env` file." ) - return v + return value def __post_init__(self): """Post initialization checks.""" diff --git a/wordcab_transcribe/models.py b/wordcab_transcribe/models.py index c710757..98fbccf 100644 --- a/wordcab_transcribe/models.py +++ b/wordcab_transcribe/models.py @@ -15,7 +15,7 @@ from typing import List, Optional -from pydantic import BaseModel, validator +from pydantic import BaseModel, field_validator class BaseResponse(BaseModel): @@ -41,7 +41,7 @@ class AudioResponse(BaseResponse): class Config: """Pydantic config class.""" - schema_extra = { + json_schema_extra = { "example": { "utterances": [ { @@ -83,7 +83,7 @@ class YouTubeResponse(BaseResponse): class Config: """Pydantic config class.""" - schema_extra = { + json_schema_extra = { "example": { "utterances": [ { @@ -125,7 +125,7 @@ class CortexError(BaseModel): class Config: """Pydantic config class.""" - schema_extra = { + json_schema_extra = { "example": { "message": "Error message here", } @@ -150,24 +150,26 @@ class CortexPayload(BaseModel): job_name: Optional[str] = None ping: Optional[bool] = False - @validator("timestamps") + @field_validator("timestamps") def validate_timestamps_values(cls, value: str) -> str: # noqa: B902, N805 """Validate the value of the timestamps field.""" if value not in ["hms", "ms", "s"]: - raise ValueError("timestamps must be one of 'hms', 'ms', 's'.") + raise ValueError("`timestamps` must be one of 'hms', 'ms', 's'.") + return value - @validator("url_type") + @field_validator("url_type") def validate_url_type(cls, value: str) -> str: # noqa: B902, N805 """Validate the value of the url_type field.""" if value not in ["audio_url", "youtube"]: - raise ValueError("Url must be one of 'audio_url', 'youtube'.") + raise ValueError("`url_type` must be one of 'audio_url', 'youtube'.") + return value class Config: """Pydantic config class.""" - schema_extra = { + json_schema_extra = { "example": { "url_type": "youtube", "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", @@ -200,7 +202,7 @@ class CortexUrlResponse(AudioResponse): class Config: """Pydantic config class.""" - schema_extra = { + json_schema_extra = { "example": { "utterances": [ { @@ -245,7 +247,7 @@ class CortexYoutubeResponse(YouTubeResponse): class Config: """Pydantic config class.""" - schema_extra = { + json_schema_extra = { "example": { "utterances": [ { @@ -293,26 +295,28 @@ class BaseRequest(BaseModel): word_timestamps: bool = False internal_vad: bool = False - @validator("timestamps") + @field_validator("timestamps") def validate_timestamps_values(cls, value: str) -> str: # noqa: B902, N805 """Validate the value of the timestamps field.""" if value not in ["hms", "ms", "s"]: - raise ValueError("timestamps must be one of 'hms', 'ms', 's'.") + raise ValueError("`timestamps` must be one of 'hms', 'ms', 's'.") + return value - @validator("vocab") + @field_validator("vocab") def validate_each_vocab_value( cls, value: List[str] # noqa: B902, N805 ) -> List[str]: """Validate the value of each vocab field.""" if not all(isinstance(v, str) for v in value): - raise ValueError("vocab must be a list of strings.") + raise ValueError("`vocab` must be a list of strings.") + return value class Config: """Pydantic config class.""" - schema_extra = { + json_schema_extra = { "example": { "alignment": False, "diarization": False, @@ -338,7 +342,7 @@ class AudioRequest(BaseRequest): class Config: """Pydantic config class.""" - schema_extra = { + json_schema_extra = { "example": { "alignment": False, "diarization": False, @@ -365,7 +369,7 @@ class PongResponse(BaseModel): class Config: """Pydantic config class.""" - schema_extra = { + json_schema_extra = { "example": { "message": "pong", }, From 48dde22b4dfa4068b3ac2c9c43947bd43b59743d Mon Sep 17 00:00:00 2001 From: chainyo Date: Tue, 18 Jul 2023 16:03:12 +0000 Subject: [PATCH 07/13] bump faster-whisper version --- poetry.lock | 22 +++++++++------------- pyproject.toml | 3 +-- 2 files changed, 10 insertions(+), 15 deletions(-) diff --git a/poetry.lock b/poetry.lock index 394b7b4..e363ee2 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1441,17 +1441,19 @@ all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)" [[package]] name = "faster-whisper" -version = "0.6.0" +version = "0.7.0" description = "Faster Whisper transcription with CTranslate2" optional = false python-versions = ">=3.8" -files = [] -develop = false +files = [ + {file = "faster-whisper-0.7.0.tar.gz", hash = "sha256:e420f1d6680ff8e468a6dba17a9fd4f16fdae6122dad294c3a023a8a7735e749"}, + {file = "faster_whisper-0.7.0-py3-none-any.whl", hash = "sha256:eb646a307bb43c994699e8a488866a2875b7b8aecb87ce57f16bdf91f759b409"}, +] [package.dependencies] av = "==10.*" -ctranslate2 = ">=3.10,<4" -huggingface_hub = ">=0.13" +ctranslate2 = ">=3.17,<4" +huggingface-hub = ">=0.13" onnxruntime = ">=1.14,<2" tokenizers = "==0.13.*" @@ -1459,12 +1461,6 @@ tokenizers = "==0.13.*" conversion = ["transformers[torch] (>=4.23)"] dev = ["black (==23.*)", "flake8 (==6.*)", "isort (==5.*)", "pytest (==7.*)"] -[package.source] -type = "git" -url = "https://github.com/guillaumekln/faster-whisper" -reference = "3b4a6aa1c22d293ddde9f08bdd31fc842086a6ea" -resolved_reference = "3b4a6aa1c22d293ddde9f08bdd31fc842086a6ea" - [[package]] name = "ffmpeg-python" version = "0.2.0" @@ -6653,7 +6649,7 @@ multidict = ">=4.0" [[package]] name = "youtokentome" version = "1.0.6" -description = "" +description = "Unsupervised text tokenizer focused on computational efficiency" optional = false python-versions = ">=3.5.0" files = [] @@ -6705,4 +6701,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<3.10" -content-hash = "d4de920d131eef516b9c60f71bba7805e841dcb86a246f4c1e25d43a73a134cc" +content-hash = "316822f161acb00d229d070fcc53f3e962ad4b4ddd08ded727d562207365a9f4" diff --git a/pyproject.toml b/pyproject.toml index 6d64cdc..7cd31be 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,10 +10,9 @@ python = ">=3.8.1,<3.10" aiohttp = ">=3.8.4" aiofiles = ">=23.1.0" argon2-cffi = ">=21.3.0" -ctranslate2 = ">=3.17,<4" cython = ">=0.29.24" fastapi = ">=0.96.0" -faster-whisper = { git = "https://github.com/guillaumekln/faster-whisper", rev = "3b4a6aa1c22d293ddde9f08bdd31fc842086a6ea" } +faster-whisper = ">=0.7" ffmpeg-python = ">=0.2.0" loguru = ">=0.6.0" nemo-toolkit = { version = ">=1.17.0", extras = ["asr"] } From 19adcfd3121b85dc51d37d8c8462969657c16420 Mon Sep 17 00:00:00 2001 From: chainyo Date: Wed, 19 Jul 2023 09:02:20 +0000 Subject: [PATCH 08/13] update models for pydanticv2 --- tests/test_models.py | 84 +++++++++++++++++++ wordcab_transcribe/config.py | 12 ++- wordcab_transcribe/models.py | 21 ++++- .../services/post_processing_service.py | 5 +- 4 files changed, 116 insertions(+), 6 deletions(-) diff --git a/tests/test_models.py b/tests/test_models.py index 36a20a3..ec788c4 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -24,10 +24,94 @@ CortexPayload, CortexUrlResponse, CortexYoutubeResponse, + Utterance, + Word, YouTubeResponse, ) +def test_word() -> None: + """Test the Word model.""" + word = Word( + word="test", + start=0.0, + end=1.0, + score=0.9, + ) + assert word.word == "test" + assert word.start == 0.0 + assert word.end == 1.0 + assert word.score == 0.9 + + +def test_utterance() -> None: + """Test the Utterance model.""" + utterance = Utterance( + text="This is a test.", + start=0.0, + end=4.0, + speaker=0, + words=[ + Word( + word="This", + start=0.0, + end=1.0, + score=0.9, + ), + Word( + word="is", + start=1.0, + end=2.0, + score=0.75, + ), + Word( + word="a", + start=2.0, + end=3.0, + score=0.8, + ), + Word( + word="test.", + start=3.0, + end=4.0, + score=0.85, + ), + ], + ) + assert utterance.text == "This is a test." + assert utterance.start == 0.0 + assert utterance.end == 4.0 + assert utterance.speaker == 0 + assert utterance.words is not None + assert utterance.words == [ + Word( + word="This", + start=0.0, + end=1.0, + score=0.9, + ), + Word( + word="is", + start=1.0, + end=2.0, + score=0.75, + ), + Word( + word="a", + start=2.0, + end=3.0, + score=0.8, + ), + Word( + word="test.", + start=3.0, + end=4.0, + score=0.85, + ), + ] + assert isinstance(utterance.words[0], Word) + + def test_audio_request() -> None: """Test the AudioRequest model.""" request = AudioRequest( diff --git a/wordcab_transcribe/config.py b/wordcab_transcribe/config.py index 1bbf2fe..4f65907 100644 --- a/wordcab_transcribe/config.py +++ b/wordcab_transcribe/config.py @@ -81,7 +81,9 @@ def project_name_must_not_be_none(cls, value: str): # noqa: B902, N805 def version_must_not_be_none(cls, value: str): # noqa: B902, N805 """Check that the version is not None.""" if value is None: - raise ValueError("`version` must not be None, please verify the `.env` file.") + raise ValueError( + "`version` must not be None, please verify the `.env` file." + ) return value @@ -109,7 +111,9 @@ def api_prefix_must_not_be_none(cls, value: str): # noqa: B902, N805 def batch_size_must_be_positive(cls, value: int): # noqa: B902, N805 """Check that the batch_size is positive.""" if value <= 0: - raise ValueError("`batch_size` must be positive, please verify the `.env` file.") + raise ValueError( + "`batch_size` must be positive, please verify the `.env` file." + ) return value @@ -117,7 +121,9 @@ def batch_size_must_be_positive(cls, value: int): # noqa: B902, N805 def max_wait_must_be_positive(cls, value: float): # noqa: B902, N805 """Check that the max_wait is positive.""" if value <= 0: - raise ValueError("`max_wait` must be positive, please verify the `.env` file.") + raise ValueError( + "`max_wait` must be positive, please verify the `.env` file." + ) return value diff --git a/wordcab_transcribe/models.py b/wordcab_transcribe/models.py index 98fbccf..6fd0fe3 100644 --- a/wordcab_transcribe/models.py +++ b/wordcab_transcribe/models.py @@ -18,10 +18,29 @@ from pydantic import BaseModel, field_validator +class Word(BaseModel): + """Word model for the API.""" + + word: str + start: float + end: float + score: float + + +class Utterance(BaseModel): + """Utterance model for the API.""" + + text: str + start: float + end: float + speaker: Optional[int] + words: Optional[List[Word]] + + class BaseResponse(BaseModel): """Base response model, not meant to be used directly.""" - utterances: List[dict] + utterances: List[Utterance] audio_duration: float alignment: bool diarization: bool diff --git a/wordcab_transcribe/services/post_processing_service.py b/wordcab_transcribe/services/post_processing_service.py index c32d291..1121faa 100644 --- a/wordcab_transcribe/services/post_processing_service.py +++ b/wordcab_transcribe/services/post_processing_service.py @@ -86,7 +86,8 @@ def segments_speaker_mapping( transcript_segments: List[dict], speaker_timestamps: List[dict], ) -> List[dict]: - """ + """Function to map transcription and diarization results. + Map each segment to its corresponding speaker based on the speaker timestamps and reconstruct the utterances when the speaker changes in the middle of a segment. @@ -160,7 +161,7 @@ def segments_speaker_mapping( end=_convert_ms_to_s(segment_end), text=" ".join(_splitted_segment[word_index:]), words=words[word_index:], - ) + ), ) else: segment_speaker_mapping.append( From c90dc640c129f38c3dd10c39e850e87e14555f28 Mon Sep 17 00:00:00 2001 From: chainyo Date: Wed, 19 Jul 2023 09:28:48 +0000 Subject: [PATCH 09/13] fix tests --- tests/test_models.py | 160 +++++++++++++++++++++++++++++++++++++------ 1 file changed, 140 insertions(+), 20 deletions(-) diff --git a/tests/test_models.py b/tests/test_models.py index ec788c4..531382b 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -161,8 +161,20 @@ def test_audio_response() -> None: response = AudioResponse( utterances=[ - {"text": "Never gonna give you up", "start": 0.0, "end": 3.0}, - {"text": "Never gonna let you down", "start": 3.0, "end": 6.0}, + Utterance( + text="Never gonna give you up", + start=0.0, + end=3.0, + speaker=0, + words=[], + ), + Utterance( + text="Never gonna let you down", + start=3.0, + end=6.0, + speaker=1, + words=[], + ) ], audio_duration=6.0, alignment=True, @@ -176,8 +188,20 @@ def test_audio_response() -> None: internal_vad=False, ) assert response.utterances == [ - {"text": "Never gonna give you up", "start": 0.0, "end": 3.0}, - {"text": "Never gonna let you down", "start": 3.0, "end": 6.0}, + Utterance( + text="Never gonna give you up", + start=0.0, + end=3.0, + speaker=0, + words=[], + ), + Utterance( + text="Never gonna let you down", + start=3.0, + end=6.0, + speaker=1, + words=[], + ) ] assert response.audio_duration == 6.0 assert response.alignment is True @@ -226,8 +250,20 @@ def test_base_response() -> None: """Test the BaseResponse model.""" response = BaseResponse( utterances=[ - {"text": "Never gonna give you up", "start": 0.0, "end": 3.0}, - {"text": "Never gonna let you down", "start": 3.0, "end": 6.0}, + Utterance( + text="Never gonna give you up", + start=0.0, + end=3.0, + speaker=0, + words=[], + ), + Utterance( + text="Never gonna let you down", + start=3.0, + end=6.0, + speaker=1, + words=[], + ) ], audio_duration=6.0, alignment=True, @@ -240,8 +276,20 @@ def test_base_response() -> None: internal_vad=False, ) assert response.utterances == [ - {"text": "Never gonna give you up", "start": 0.0, "end": 3.0}, - {"text": "Never gonna let you down", "start": 3.0, "end": 6.0}, + Utterance( + text="Never gonna give you up", + start=0.0, + end=3.0, + speaker=0, + words=[], + ), + Utterance( + text="Never gonna let you down", + start=3.0, + end=6.0, + speaker=1, + words=[], + ) ] assert response.audio_duration == 6.0 assert response.alignment is True @@ -299,8 +347,20 @@ def test_cortex_url_response() -> None: """Test the CortexUrlResponse model.""" response = CortexUrlResponse( utterances=[ - {"text": "Never gonna give you up", "start": 0.0, "end": 3.0}, - {"text": "Never gonna let you down", "start": 3.0, "end": 6.0}, + Utterance( + text="Never gonna give you up", + start=0.0, + end=3.0, + speaker=0, + words=[], + ), + Utterance( + text="Never gonna let you down", + start=3.0, + end=6.0, + speaker=1, + words=[], + ) ], audio_duration=6.0, alignment=True, @@ -316,8 +376,20 @@ def test_cortex_url_response() -> None: request_id="test_request_id", ) assert response.utterances == [ - {"text": "Never gonna give you up", "start": 0.0, "end": 3.0}, - {"text": "Never gonna let you down", "start": 3.0, "end": 6.0}, + Utterance( + text="Never gonna give you up", + start=0.0, + end=3.0, + speaker=0, + words=[], + ), + Utterance( + text="Never gonna let you down", + start=3.0, + end=6.0, + speaker=1, + words=[], + ) ] assert response.audio_duration == 6.0 assert response.alignment is True @@ -337,8 +409,20 @@ def test_cortex_youtube_response() -> None: """Test the CortexYoutubeResponse model.""" response = CortexYoutubeResponse( utterances=[ - {"text": "Never gonna give you up", "start": 0.0, "end": 3.0}, - {"text": "Never gonna let you down", "start": 3.0, "end": 6.0}, + Utterance( + text="Never gonna give you up", + start=0.0, + end=3.0, + speaker=0, + words=[], + ), + Utterance( + text="Never gonna let you down", + start=3.0, + end=6.0, + speaker=1, + words=[], + ) ], audio_duration=6.0, alignment=True, @@ -354,8 +438,20 @@ def test_cortex_youtube_response() -> None: request_id="test_request_id", ) assert response.utterances == [ - {"text": "Never gonna give you up", "start": 0.0, "end": 3.0}, - {"text": "Never gonna let you down", "start": 3.0, "end": 6.0}, + Utterance( + text="Never gonna give you up", + start=0.0, + end=3.0, + speaker=0, + words=[], + ), + Utterance( + text="Never gonna let you down", + start=3.0, + end=6.0, + speaker=1, + words=[], + ) ] assert response.audio_duration == 6.0 assert response.alignment is True @@ -375,8 +471,20 @@ def test_youtube_response() -> None: """Test the YouTubeResponse model.""" response = YouTubeResponse( utterances=[ - {"text": "Never gonna give you up", "start": 0.0, "end": 3.0}, - {"text": "Never gonna let you down", "start": 3.0, "end": 6.0}, + Utterance( + text="Never gonna give you up", + start=0.0, + end=3.0, + speaker=0, + words=[], + ), + Utterance( + text="Never gonna let you down", + start=3.0, + end=6.0, + speaker=1, + words=[], + ) ], audio_duration=6.0, alignment=True, @@ -390,8 +498,20 @@ def test_youtube_response() -> None: video_url="https://www.youtube.com/watch?v=dQw4w9WgXcQ", ) assert response.utterances == [ - {"text": "Never gonna give you up", "start": 0.0, "end": 3.0}, - {"text": "Never gonna let you down", "start": 3.0, "end": 6.0}, + Utterance( + text="Never gonna give you up", + start=0.0, + end=3.0, + speaker=0, + words=[], + ), + Utterance( + text="Never gonna let you down", + start=3.0, + end=6.0, + speaker=1, + words=[], + ) ] assert response.audio_duration == 6.0 assert response.alignment is True From 48fe8052a76f842f1ba56a30b4ab5707a5f857cc Mon Sep 17 00:00:00 2001 From: chainyo Date: Wed, 19 Jul 2023 09:46:29 +0000 Subject: [PATCH 10/13] update nemo version --- poetry.lock | 54 +++++++++++++++++++++++++------------------------- pyproject.toml | 2 +- 2 files changed, 28 insertions(+), 28 deletions(-) diff --git a/poetry.lock b/poetry.lock index e363ee2..4841769 100644 --- a/poetry.lock +++ b/poetry.lock @@ -795,13 +795,13 @@ files = [ [[package]] name = "click" -version = "8.1.5" +version = "8.1.6" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.7" files = [ - {file = "click-8.1.5-py3-none-any.whl", hash = "sha256:e576aa487d679441d7d30abb87e1b43d24fc53bffb8758443b1a9e1cee504548"}, - {file = "click-8.1.5.tar.gz", hash = "sha256:4be4b1af8d665c6d942909916d31a213a106800c47d0eeba73d34da3cbc11367"}, + {file = "click-8.1.6-py3-none-any.whl", hash = "sha256:fa244bb30b3b5ee2cae3da8f55c9e5e0c0e86093306301fb418eb9dc40fbded5"}, + {file = "click-8.1.6.tar.gz", hash = "sha256:48ee849951919527a045bfe3bf7baa8a959c423134e1a5b98c05c20ba75a1cbd"}, ] [package.dependencies] @@ -6035,13 +6035,13 @@ test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"] [[package]] name = "transformers" -version = "4.30.2" +version = "4.31.0" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false -python-versions = ">=3.7.0" +python-versions = ">=3.8.0" files = [ - {file = "transformers-4.30.2-py3-none-any.whl", hash = "sha256:c332e3a3097f9ed89ce556b403251235931c00237b8bc2d7adaa19d226c13f1d"}, - {file = "transformers-4.30.2.tar.gz", hash = "sha256:f4a8aac4e1baffab4033f4a345b0d7dc7957d12a4f1ba969afea08205a513045"}, + {file = "transformers-4.31.0-py3-none-any.whl", hash = "sha256:8487aab0195ce1c2a5ae189305118b9720daddbc7b688edb09ccd79e3b149f6b"}, + {file = "transformers-4.31.0.tar.gz", hash = "sha256:4302fba920a1c24d3a429a29efff6a63eac03f3f3cf55b55927fc795d01cb273"}, ] [package.dependencies] @@ -6057,20 +6057,20 @@ tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14" tqdm = ">=4.27" [package.extras] -accelerate = ["accelerate (>=0.20.2)"] -agents = ["Pillow", "accelerate (>=0.20.2)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.9,!=1.12.0)"] -all = ["Pillow", "accelerate (>=0.20.2)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.6.9)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf (<=3.20.3)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"] +accelerate = ["accelerate (>=0.20.3)"] +agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.9,!=1.12.0)"] +all = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.2.8,!=0.3.2,<=0.4.13)", "jaxlib (>=0.1.65,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"] audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] codecarbon = ["codecarbon (==1.2.0)"] -deepspeed = ["accelerate (>=0.20.2)", "deepspeed (>=0.8.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.2)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.8.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf (<=3.20.3)", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"] -dev = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.20.2)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.6.9)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic 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(>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "optax (>=0.0.8,<=0.1.4)"] +flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.2.8,!=0.3.2,<=0.4.13)", "jaxlib (>=0.1.65,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] ftfy = ["ftfy"] integrations = ["optuna", "ray[tune]", "sigopt"] @@ -6084,23 +6084,23 @@ quality = ["GitPython (<3.1.19)", "black (>=23.1,<24.0)", "datasets (!=2.5.0)", ray = ["ray[tune]"] retrieval = ["datasets (!=2.5.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] -sentencepiece = ["protobuf (<=3.20.3)", "sentencepiece (>=0.1.91,!=0.1.92)"] -serving = ["fastapi", "pydantic", "starlette", "uvicorn"] +sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] +serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf (<=3.20.3)", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"] -tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"] -tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"] +tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"] +tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] timm = ["timm"] tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"] -torch = ["accelerate (>=0.20.2)", "torch (>=1.9,!=1.12.0)"] +torch = ["accelerate (>=0.20.3)", "torch (>=1.9,!=1.12.0)"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -torch-vision = ["Pillow", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.14.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf (<=3.20.3)", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"] +torch-vision = ["Pillow (<10.0.0)", "torchvision"] +torchhub = ["filelock", "huggingface-hub (>=0.14.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] -vision = ["Pillow"] +vision = ["Pillow (<10.0.0)"] [[package]] name = "triton" @@ -6701,4 +6701,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<3.10" -content-hash = "316822f161acb00d229d070fcc53f3e962ad4b4ddd08ded727d562207365a9f4" +content-hash = "1301679a7c5e0809d23d304a1951124ee41b02e3fc6bbd7840f9a58de768005c" diff --git a/pyproject.toml b/pyproject.toml index 7cd31be..da47264 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,7 +15,7 @@ fastapi = ">=0.96.0" faster-whisper = ">=0.7" ffmpeg-python = ">=0.2.0" loguru = ">=0.6.0" -nemo-toolkit = { version = ">=1.17.0", extras = ["asr"] } +nemo-toolkit = { version = "1.19.1", extras = ["asr"] } numpy = "==1.23.1" num2words = ">=0.5.12" onnxruntime = ">=1.15.0" From 944a7ed0b7d82319fcd57b77af4aa33e9a9f8bf7 Mon Sep 17 00:00:00 2001 From: chainyo Date: Wed, 19 Jul 2023 10:27:40 +0000 Subject: [PATCH 11/13] fix linter --- tests/test_models.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/tests/test_models.py b/tests/test_models.py index 531382b..5585e29 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -174,7 +174,7 @@ def test_audio_response() -> None: end=6.0, speaker=1, words=[], - ) + ), ], audio_duration=6.0, alignment=True, @@ -201,7 +201,7 @@ def test_audio_response() -> None: end=6.0, speaker=1, words=[], - ) + ), ] assert response.audio_duration == 6.0 assert response.alignment is True @@ -263,7 +263,7 @@ def test_base_response() -> None: end=6.0, speaker=1, words=[], - ) + ), ], audio_duration=6.0, alignment=True, @@ -289,7 +289,7 @@ def test_base_response() -> None: end=6.0, speaker=1, words=[], - ) + ), ] assert response.audio_duration == 6.0 assert response.alignment is True @@ -360,7 +360,7 @@ def test_cortex_url_response() -> None: end=6.0, speaker=1, words=[], - ) + ), ], audio_duration=6.0, alignment=True, @@ -389,7 +389,7 @@ def test_cortex_url_response() -> None: end=6.0, speaker=1, words=[], - ) + ), ] assert response.audio_duration == 6.0 assert response.alignment is True @@ -422,7 +422,7 @@ def test_cortex_youtube_response() -> None: end=6.0, speaker=1, words=[], - ) + ), ], audio_duration=6.0, alignment=True, @@ -451,7 +451,7 @@ def test_cortex_youtube_response() -> None: end=6.0, speaker=1, words=[], - ) + ), ] assert response.audio_duration == 6.0 assert response.alignment is True @@ -484,7 +484,7 @@ def test_youtube_response() -> None: end=6.0, speaker=1, words=[], - ) + ), ], audio_duration=6.0, alignment=True, @@ -511,7 +511,7 @@ def test_youtube_response() -> None: end=6.0, speaker=1, words=[], - ) + ), ] assert response.audio_duration == 6.0 assert response.alignment is True From d5568b49df45e814e44180dce2bbf73ca75fffb6 Mon Sep 17 00:00:00 2001 From: chainyo Date: Wed, 19 Jul 2023 12:59:48 +0000 Subject: [PATCH 12/13] fix test typo --- tests/test_models.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_models.py b/tests/test_models.py index 5585e29..6faa98d 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -242,7 +242,7 @@ def test_base_request_default() -> None: def test_base_request_invalid() -> None: """Test the BaseRequest model with invalid data.""" - with pytest.raises(ValueError, match="timestamps must be one of 'hms', 'ms', 's'."): + with pytest.raises(ValueError, match="`timestamps` must be one of 'hms', 'ms', 's'."): BaseRequest(timestamps="invalid") From 7a72c4ad1940987c55cda52a74fbbb98fc476a3a Mon Sep 17 00:00:00 2001 From: chainyo Date: Wed, 19 Jul 2023 13:07:39 +0000 Subject: [PATCH 13/13] linter --- tests/test_models.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/tests/test_models.py b/tests/test_models.py index 6faa98d..fd9cdbc 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -242,7 +242,9 @@ def test_base_request_default() -> None: def test_base_request_invalid() -> None: """Test the BaseRequest model with invalid data.""" - with pytest.raises(ValueError, match="`timestamps` must be one of 'hms', 'ms', 's'."): + with pytest.raises( + ValueError, match="`timestamps` must be one of 'hms', 'ms', 's'." + ): BaseRequest(timestamps="invalid")