mirror of
https://github.com/ahmetoner/whisper-asr-webservice.git
synced 2023-04-14 03:48:29 +03:00
Merge pull request #52 from ahmetoner/43-make-swagger-doc-not-depend-on-internet-connection
43 make swagger doc not depend on internet connection
This commit is contained in:
Ahmet Oner
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@@ -5,6 +5,8 @@ from fastapi.openapi.docs import get_swagger_ui_html
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import whisper
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from whisper.utils import write_srt, write_vtt
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import os
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from os import path
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from pathlib import Path
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import ffmpeg
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from typing import BinaryIO, Union
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from .languages import LANGUAGES, LANGUAGE_CODES
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@@ -12,7 +14,7 @@ import numpy as np
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from io import StringIO
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from threading import Lock
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import torch
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import fastapi_offline_swagger_ui
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import importlib.metadata
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SAMPLE_RATE=16000
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@@ -31,25 +33,25 @@ app = FastAPI(
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"url": projectMetadata['License']
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}
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)
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app.mount("/assets", StaticFiles(directory="app/static/assets"), name="static")
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def swagger_monkey_patch(*args, **kwargs):
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return get_swagger_ui_html(
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*args,
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**kwargs,
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swagger_favicon_url="",
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swagger_css_url="/assets/css/swagger-ui.css",
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swagger_js_url="/assets/js/swagger-ui-bundle.js",
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)
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applications.get_swagger_ui_html = swagger_monkey_patch
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assets_path = fastapi_offline_swagger_ui.__path__[0]
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if path.exists(assets_path + "/swagger-ui.css") and path.exists(assets_path + "/swagger-ui-bundle.js"):
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app.mount("/assets", StaticFiles(directory=assets_path), name="static")
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def swagger_monkey_patch(*args, **kwargs):
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return get_swagger_ui_html(
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*args,
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**kwargs,
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swagger_favicon_url="",
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swagger_css_url="/assets/swagger-ui.css",
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swagger_js_url="/assets/swagger-ui-bundle.js",
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)
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applications.get_swagger_ui_html = swagger_monkey_patch
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model_name= os.getenv("ASR_MODEL", "base")
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if torch.cuda.is_available():
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model = whisper.load_model(model_name).cuda()
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else:
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model = whisper.load_model(model_name)
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model_lock = Lock()
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@app.get("/", response_class=RedirectResponse, include_in_schema=False)
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@@ -142,5 +144,3 @@ def load_audio(file: BinaryIO, sr: int = SAMPLE_RATE):
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raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e
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return np.frombuffer(out, np.int16).flatten().astype(np.float32) / 32768.0
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115
poetry.lock
generated
115
poetry.lock
generated
@@ -93,6 +93,21 @@ dev = ["autoflake (>=1.4.0,<2.0.0)", "flake8 (>=3.8.3,<6.0.0)", "pre-commit (>=2
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doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.3.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pyyaml (>=5.3.1,<7.0.0)", "typer[all] (>=0.6.1,<0.7.0)"]
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test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==22.8.0)", "databases[sqlite] (>=0.3.2,<0.7.0)", "email-validator (>=1.1.1,<2.0.0)", "flake8 (>=3.8.3,<6.0.0)", "flask (>=1.1.2,<3.0.0)", "httpx (>=0.23.0,<0.24.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.982)", "orjson (>=3.2.1,<4.0.0)", "passlib[bcrypt] (>=1.7.2,<2.0.0)", "peewee (>=3.13.3,<4.0.0)", "pytest (>=7.1.3,<8.0.0)", "pytest-cov (>=2.12.0,<5.0.0)", "python-jose[cryptography] (>=3.3.0,<4.0.0)", "python-multipart (>=0.0.5,<0.0.6)", "pyyaml (>=5.3.1,<7.0.0)", "requests (>=2.24.0,<3.0.0)", "sqlalchemy (>=1.3.18,<=1.4.41)", "types-orjson (==3.6.2)", "types-ujson (==5.5.0)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0)"]
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[[package]]
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name = "fastapi-offline-swagger-ui"
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version = "1.0.0"
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description = "By default FastAPI uses CDN for swagger ui assets, with this repository you can use it offline."
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category = "main"
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optional = false
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python-versions = ">=3.6"
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develop = false
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[package.source]
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type = "git"
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url = "https://github.com/ahmetoner/fastapi-offline-swagger-ui"
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reference = "HEAD"
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resolved_reference = "91dbbc3513de7d51ab396fe5324eeb3838ea8d73"
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[[package]]
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name = "ffmpeg-python"
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version = "0.2.0"
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@@ -165,7 +180,7 @@ test = ["Cython (>=0.29.24,<0.30.0)"]
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[[package]]
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name = "huggingface-hub"
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version = "0.11.0"
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version = "0.11.1"
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description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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category = "main"
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optional = false
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@@ -208,7 +223,7 @@ python-versions = "*"
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[[package]]
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name = "numpy"
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version = "1.23.4"
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version = "1.23.5"
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description = "NumPy is the fundamental package for array computing with Python."
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category = "main"
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optional = false
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@@ -350,7 +365,7 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
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[[package]]
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name = "setuptools"
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version = "65.5.1"
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version = "65.6.3"
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description = "Easily download, build, install, upgrade, and uninstall Python packages"
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category = "main"
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optional = false
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@@ -432,7 +447,7 @@ telegram = ["requests"]
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[[package]]
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name = "transformers"
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version = "4.24.0"
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version = "4.25.1"
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description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
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category = "main"
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optional = false
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@@ -451,15 +466,15 @@ tqdm = ">=4.27"
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[package.extras]
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accelerate = ["accelerate (>=0.10.0)"]
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all = ["Pillow", "accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"]
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all = ["Pillow", "accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1)", "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)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.11)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"]
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audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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codecarbon = ["codecarbon (==1.2.0)"]
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deepspeed = ["accelerate (>=0.10.0)", "deepspeed (>=0.6.5)"]
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deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.6.5)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "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", "safetensors (>=0.2.1)", "timeout-decorator"]
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dev = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "flax (>=0.4.1)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pyknp (>=0.6.1)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.4)", "tensorflow-text", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
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dev-tensorflow = ["GitPython (<3.1.19)", "Pillow", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "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", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.4)", "tensorflow-text", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
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dev = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "flax (>=0.4.1)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pyknp (>=0.6.1)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.4,<2.11)", "tensorflow-text", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
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dev-tensorflow = ["GitPython (<3.1.19)", "Pillow", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "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", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.4,<2.11)", "tensorflow-text", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
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dev-torch = ["GitPython (<3.1.19)", "Pillow", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pyknp (>=0.6.1)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
|
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docs = ["Pillow", "accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1)", "hf-doc-builder", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"]
|
||||
docs = ["Pillow", "accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1)", "hf-doc-builder", "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)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.11)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"]
|
||||
docs-specific = ["hf-doc-builder"]
|
||||
fairscale = ["fairscale (>0.3)"]
|
||||
flax = ["flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "optax (>=0.0.8)"]
|
||||
@@ -468,6 +483,7 @@ ftfy = ["ftfy"]
|
||||
integrations = ["optuna", "ray[tune]", "sigopt"]
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||||
ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "pyknp (>=0.6.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
|
||||
modelcreation = ["cookiecutter (==1.7.3)"]
|
||||
natten = ["natten (>=0.14.4)"]
|
||||
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
|
||||
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
|
||||
optuna = ["optuna"]
|
||||
@@ -481,8 +497,8 @@ sigopt = ["sigopt"]
|
||||
sklearn = ["scikit-learn"]
|
||||
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (==22.3)", "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 (<=3.20.2)", "psutil", "pytest", "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", "safetensors (>=0.2.1)", "timeout-decorator"]
|
||||
tf = ["onnxconverter-common", "tensorflow (>=2.4)", "tensorflow-text", "tf2onnx"]
|
||||
tf-cpu = ["onnxconverter-common", "tensorflow-cpu (>=2.3)", "tensorflow-text", "tf2onnx"]
|
||||
tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.4,<2.11)", "tensorflow-text", "tf2onnx"]
|
||||
tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.4,<2.11)", "tensorflow-text", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
timm = ["timm"]
|
||||
tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
|
||||
@@ -509,11 +525,11 @@ python-versions = ">=3.5"
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "1.26.12"
|
||||
version = "1.26.13"
|
||||
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.*, <4"
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
|
||||
@@ -595,7 +611,7 @@ resolved_reference = "eff383b27b783e280c089475852ba83f20f64998"
|
||||
[metadata]
|
||||
lock-version = "1.1"
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python-versions = "^3.9"
|
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content-hash = "124c3056e10ec9cad971f21bd67445ae9b0ecfb6156faa4910f76a7a3319e573"
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content-hash = "6a28444a1082fcba6509e00c867030f8a784bc28dab6270fc8f64846a40ec5fa"
|
||||
|
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[metadata.files]
|
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anyio = [
|
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@@ -629,6 +645,7 @@ fastapi = [
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{file = "fastapi-0.85.2-py3-none-any.whl", hash = "sha256:6292db0edd4a11f0d938d6033ccec5f706e9d476958bf33b119e8ddb4e524bde"},
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]
|
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fastapi-offline-swagger-ui = []
|
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ffmpeg-python = [
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{file = "ffmpeg-python-0.2.0.tar.gz", hash = "sha256:65225db34627c578ef0e11c8b1eb528bb35e024752f6f10b78c011f6f64c4127"},
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@@ -692,8 +709,8 @@ httptools = [
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{file = "httptools-0.5.0.tar.gz", hash = "sha256:295874861c173f9101960bba332429bb77ed4dcd8cdf5cee9922eb00e4f6bc09"},
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]
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huggingface-hub = [
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{file = "huggingface_hub-0.11.1.tar.gz", hash = "sha256:8b9ebf9bbb1782f6f0419ec490973a6487c6c4ed84293a8a325d34c4f898f53f"},
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]
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idna = [
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{file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
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@@ -704,34 +721,34 @@ iniconfig = [
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{file = "iniconfig-1.1.1.tar.gz", hash = "sha256:bc3af051d7d14b2ee5ef9969666def0cd1a000e121eaea580d4a313df4b37f32"},
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]
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numpy = [
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{file = "numpy-1.23.4.tar.gz", hash = "sha256:ed2cc92af0efad20198638c69bb0fc2870a58dabfba6eb722c933b48556c686c"},
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{file = "numpy-1.23.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92c8c1e89a1f5028a4c6d9e3ccbe311b6ba53694811269b992c0b224269e2398"},
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{file = "numpy-1.23.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d208a0f8729f3fb790ed18a003f3a57895b989b40ea4dce4717e9cf4af62c6bb"},
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{file = "numpy-1.23.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8969bfd28e85c81f3f94eb4a66bc2cf1dbdc5c18efc320af34bffc54d6b1e38f"},
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{file = "numpy-1.23.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a7ac231a08bb37f852849bbb387a20a57574a97cfc7b6cabb488a4fc8be176de"},
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{file = "numpy-1.23.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf837dc63ba5c06dc8797c398db1e223a466c7ece27a1f7b5232ba3466aafe3d"},
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{file = "numpy-1.23.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33161613d2269025873025b33e879825ec7b1d831317e68f4f2f0f84ed14c719"},
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{file = "numpy-1.23.5-cp39-cp39-win_amd64.whl", hash = "sha256:09b7847f7e83ca37c6e627682f145856de331049013853f344f37b0c9690e3df"},
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{file = "numpy-1.23.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:abdde9f795cf292fb9651ed48185503a2ff29be87770c3b8e2a14b0cd7aa16f8"},
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||||
{file = "numpy-1.23.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9a909a8bae284d46bbfdefbdd4a262ba19d3bc9921b1e76126b1d21c3c34135"},
|
||||
{file = "numpy-1.23.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:01dd17cbb340bf0fc23981e52e1d18a9d4050792e8fb8363cecbf066a84b827d"},
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{file = "numpy-1.23.5.tar.gz", hash = "sha256:1b1766d6f397c18153d40015ddfc79ddb715cabadc04d2d228d4e5a8bc4ded1a"},
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||||
]
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packaging = [
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{file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
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@@ -935,8 +952,8 @@ requests = [
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||||
{file = "requests-2.28.1.tar.gz", hash = "sha256:7c5599b102feddaa661c826c56ab4fee28bfd17f5abca1ebbe3e7f19d7c97983"},
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]
|
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setuptools = [
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{file = "setuptools-65.5.1-py3-none-any.whl", hash = "sha256:d0b9a8433464d5800cbe05094acf5c6d52a91bfac9b52bcfc4d41382be5d5d31"},
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{file = "setuptools-65.5.1.tar.gz", hash = "sha256:e197a19aa8ec9722928f2206f8de752def0e4c9fc6953527360d1c36d94ddb2f"},
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{file = "setuptools-65.6.3-py3-none-any.whl", hash = "sha256:57f6f22bde4e042978bcd50176fdb381d7c21a9efa4041202288d3737a0c6a54"},
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{file = "setuptools-65.6.3.tar.gz", hash = "sha256:a7620757bf984b58deaf32fc8a4577a9bbc0850cf92c20e1ce41c38c19e5fb75"},
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]
|
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six = [
|
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{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
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@@ -997,8 +1014,8 @@ tqdm = [
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{file = "tqdm-4.64.1.tar.gz", hash = "sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4"},
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]
|
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transformers = [
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{file = "transformers-4.24.0-py3-none-any.whl", hash = "sha256:b7ab50039ef9bf817eff14ab974f306fd20a72350bdc9df3a858fd009419322e"},
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{file = "transformers-4.24.0.tar.gz", hash = "sha256:486f353a8e594002e48be0e2aba723d96eda839e63bfe274702a4b5eda85559b"},
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{file = "transformers-4.25.1-py3-none-any.whl", hash = "sha256:60f1be15e17e4a54373c787c713ec149dabcc63464131ac45611618fe7c2016e"},
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{file = "transformers-4.25.1.tar.gz", hash = "sha256:6dad398b792d45dc04e9ee7e9e06bf758ab19dca2efc119065e661bb0f8f843b"},
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]
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typing-extensions = [
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{file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
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@@ -1009,8 +1026,8 @@ unidecode = [
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||||
{file = "Unidecode-1.3.6.tar.gz", hash = "sha256:fed09cf0be8cf415b391642c2a5addfc72194407caee4f98719e40ec2a72b830"},
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]
|
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urllib3 = [
|
||||
{file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
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{file = "urllib3-1.26.12.tar.gz", hash = "sha256:3fa96cf423e6987997fc326ae8df396db2a8b7c667747d47ddd8ecba91f4a74e"},
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{file = "urllib3-1.26.13-py2.py3-none-any.whl", hash = "sha256:47cc05d99aaa09c9e72ed5809b60e7ba354e64b59c9c173ac3018642d8bb41fc"},
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{file = "urllib3-1.26.13.tar.gz", hash = "sha256:c083dd0dce68dbfbe1129d5271cb90f9447dea7d52097c6e0126120c521ddea8"},
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]
|
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uvicorn = [
|
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|
||||
|
||||
@@ -22,6 +22,7 @@ transformers = "^4.22.1"
|
||||
python-multipart = "^0.0.5"
|
||||
ffmpeg-python = "^0.2.0"
|
||||
fastapi = "^0.85.0"
|
||||
fastapi-offline-swagger-ui = {git = "https://github.com/ahmetoner/fastapi-offline-swagger-ui"}
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
pytest = "^6.2.5"
|
||||
|
||||
Reference in New Issue
Block a user