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philschmid
/
pyannote-speaker-diarization-endpoint

Voice Activity Detection
pyannote.audio
pyannote
pyannote-audio-pipeline
audio
voice
speech
speaker
speaker-diarization
speaker-change-detection
overlapped-speech-detection
Model card Files
xet
Community
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philschmid commited on
Commit
a0b2ac9
·
1 Parent(s): 0d041ba

update to fork

Browse files
Files changed (3) hide show
  1. create_handler.ipynb +5 -440
  2. handler.py +0 -5
  3. requirements.txt +2 -2
create_handler.ipynb CHANGED
@@ -22,452 +22,17 @@
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  ],
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  "source": [
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  "%%writefile requirements.txt\n",
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- "torchaudio\n",
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- "pyannote.audio"
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  ]
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 2,
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- "\u001b[?25h Created wheel for docopt: filename=docopt-0.6.2-py2.py3-none-any.whl size=13706 sha256=3805c1a127c79f3a81ed6be5ddee9d3313fd0aa7107216896e89e5cecf2bbe27\n",
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- " Stored in directory: /home/ubuntu/.cache/pip/wheels/70/4a/46/1309fc853b8d395e60bafaf1b6df7845bdd82c95fd59dd8d2b\n",
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- "\u001b[?25h Created wheel for pyperclip: filename=pyperclip-1.8.2-py3-none-any.whl size=11123 sha256=a6734b9b91c358d2e5d4e4c3c8e8d0a02f2aab94ecca213c41935d81630367e8\n",
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- "Installing collected packages: singledispatchmethod, pyperclip, primePy, einops, docopt, commonmark, antlr4-python3-runtime, typer, torch, stevedore, simplejson, shellingham, semver, scipy, ruamel.yaml.clib, rich, pyDeprecate, PrettyTable, omegaconf, networkx, Mako, kiwisolver, greenlet, fonttools, cycler, contourpy, cmd2, cmaes, backports.cached-property, autopage, torchvision, torchmetrics, torchaudio, sqlalchemy, ruamel.yaml, pyannote.core, matplotlib, julius, huggingface-hub, cliff, asteroid-filterbanks, torch-pitch-shift, pytorch-metric-learning, pyannote.database, hyperpyyaml, hmmlearn, alembic, torch-audiomentations, speechbrain, pyannote.metrics, optuna, pytorch-lightning, pyannote.pipeline, pyannote.audio\n",
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- " Attempting uninstall: torch\n",
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- " Found existing installation: torch 1.11.0+cu113\n",
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- " Uninstalling torch-1.11.0+cu113:\n",
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- " Attempting uninstall: torchvision\n",
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- " Found existing installation: torchvision 0.12.0+cu113\n",
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- " Found existing installation: huggingface-hub 0.9.0\n",
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- " Uninstalling huggingface-hub-0.9.0:\n",
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- "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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- "huggingface-inference-toolkit 0.1.0 requires torchvision<=0.12.0, but you have torchvision 0.13.1 which is incompatible.\u001b[0m\u001b[31m\n",
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- "\u001b[0mSuccessfully installed Mako-1.2.3 PrettyTable-3.4.1 alembic-1.8.1 antlr4-python3-runtime-4.9.3 asteroid-filterbanks-0.4.0 autopage-0.5.1 backports.cached-property-1.0.2 cliff-4.0.0 cmaes-0.8.2 cmd2-2.4.2 commonmark-0.9.1 contourpy-1.0.5 cycler-0.11.0 docopt-0.6.2 einops-0.3.2 fonttools-4.37.4 greenlet-1.1.3 hmmlearn-0.2.8 huggingface-hub-0.8.1 hyperpyyaml-1.0.1 julius-0.2.7 kiwisolver-1.4.4 matplotlib-3.6.0 networkx-2.8.7 omegaconf-2.2.3 optuna-3.0.2 primePy-1.3 pyDeprecate-0.3.2 pyannote.audio-2.0.1 pyannote.core-4.5 pyannote.database-4.1.3 pyannote.metrics-3.2.1 pyannote.pipeline-2.3 pyperclip-1.8.2 pytorch-lightning-1.6.5 pytorch-metric-learning-1.6.2 rich-12.6.0 ruamel.yaml-0.17.21 ruamel.yaml.clib-0.2.6 scipy-1.8.1 semver-2.13.0 shellingham-1.5.0 simplejson-3.17.6 singledispatchmethod-1.0 speechbrain-0.5.13 sqlalchemy-1.4.41 stevedore-4.0.0 torch-1.12.1 torch-audiomentations-0.11.0 torch-pitch-shift-1.2.2 torchaudio-0.12.1 torchmetrics-0.10.0 torchvision-0.13.1 typer-0.6.1\n"
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- }
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- "source": [
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "start=0.5s stop=1.4s speaker_SPEAKER_01\n",
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- "start=1.9s stop=2.8s speaker_SPEAKER_01\n",
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- "start=3.0s stop=3.5s speaker_SPEAKER_02\n",
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- "start=7.6s stop=9.5s speaker_SPEAKER_02\n",
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- "start=9.8s stop=10.6s speaker_SPEAKER_02\n",
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- "start=9.9s stop=10.4s speaker_SPEAKER_00\n",
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- "start=12.4s stop=15.6s speaker_SPEAKER_03\n",
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- "start=15.8s stop=16.1s speaker_SPEAKER_00\n",
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- "start=16.1s stop=16.2s speaker_SPEAKER_01\n",
434
- "start=17.2s stop=17.4s speaker_SPEAKER_00\n",
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- "start=17.7s stop=20.4s speaker_SPEAKER_01\n",
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- "start=20.6s stop=20.7s speaker_SPEAKER_01\n",
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- "start=20.7s stop=20.8s speaker_SPEAKER_00\n",
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- "start=20.8s stop=20.9s speaker_SPEAKER_01\n",
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- "start=21.1s stop=22.1s speaker_SPEAKER_01\n",
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- "start=22.5s stop=22.7s speaker_SPEAKER_02\n",
441
- "start=23.2s stop=23.5s speaker_SPEAKER_02\n",
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- "start=23.5s stop=24.0s speaker_SPEAKER_01\n",
443
- "start=24.3s stop=25.5s speaker_SPEAKER_02\n",
444
- "start=25.8s stop=27.3s speaker_SPEAKER_01\n",
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- "start=27.3s stop=27.5s speaker_SPEAKER_02\n",
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- "start=29.7s stop=30.0s speaker_SPEAKER_01\n"
447
- ]
448
- }
449
- ],
450
- "source": [
451
- "from pyannote.audio import Pipeline\n",
452
- "pipeline = Pipeline.from_pretrained(\"pyannote/speaker-diarization\")\n",
453
- "\n"
454
- ]
455
- },
456
- {
457
- "cell_type": "code",
458
- "execution_count": 7,
459
  "metadata": {},
460
  "outputs": [],
461
  "source": [
462
- "from transformers.pipelines.audio_utils import ffmpeg_read\n",
463
- "import torch\n",
464
- "\n",
465
- "\n",
466
- "\n",
467
- "\n",
468
- "audio_nparray = ffmpeg_read(request[\"inputs\"], 16000)\n",
469
- "audio_tensor= torch.from_numpy(audio_nparray).unsqueeze(0)\n",
470
- "f = {\"waveform\": audio_tensor, \"sample_rate\": 16000}"
471
  ]
472
  },
473
  {
@@ -479,7 +44,7 @@
479
  },
480
  {
481
  "cell_type": "code",
482
- "execution_count": 8,
483
  "metadata": {},
484
  "outputs": [
485
  {
 
22
  ],
23
  "source": [
24
  "%%writefile requirements.txt\n",
25
+ "torchaudio==0.11.*\n",
26
+ "git+https://github.com/philschmid/pyannote-audio.git"
27
  ]
28
  },
29
  {
30
  "cell_type": "code",
31
+ "execution_count": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
32
  "metadata": {},
33
  "outputs": [],
34
  "source": [
35
+ "!pip install -r requirements.txt --upgrade"
 
 
 
 
 
 
 
 
36
  ]
37
  },
38
  {
 
44
  },
45
  {
46
  "cell_type": "code",
47
+ "execution_count": 2,
48
  "metadata": {},
49
  "outputs": [
50
  {
handler.py CHANGED
@@ -1,9 +1,4 @@
1
  from typing import Dict
2
- from subprocess import run
3
-
4
- # install pyannote on the fly since it is incompatible with huggingface_hub > 0.9
5
- run("pip install pyannote.audio==2.0.1", shell=True, check=True)
6
-
7
  from pyannote.audio import Pipeline
8
  from transformers.pipelines.audio_utils import ffmpeg_read
9
  import torch
 
1
  from typing import Dict
 
 
 
 
 
2
  from pyannote.audio import Pipeline
3
  from transformers.pipelines.audio_utils import ffmpeg_read
4
  import torch
requirements.txt CHANGED
@@ -1,2 +1,2 @@
1
- torchaudio
2
- pyannote.audio
 
1
+ torchaudio==0.11.*
2
+ git+https://github.com/philschmid/pyannote-audio.git