Katsuya Oda commited on
Commit
81bcdf3
1 Parent(s): 2c6a571

fix: impl handler

Browse files
.gitattributes CHANGED
@@ -24,4 +24,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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.gitignore ADDED
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.python-version ADDED
@@ -0,0 +1 @@
 
 
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+ 3.9.13
config.yaml CHANGED
@@ -5,7 +5,7 @@ pipeline:
5
  embedding: speechbrain/spkrec-ecapa-voxceleb
6
  embedding_batch_size: 32
7
  embedding_exclude_overlap: true
8
- segmentation: pyannote/segmentation@2022.07
9
  segmentation_batch_size: 32
10
 
11
  params:
 
5
  embedding: speechbrain/spkrec-ecapa-voxceleb
6
  embedding_batch_size: 32
7
  embedding_exclude_overlap: true
8
+ segmentation: pyannote_segmentation_2022_07_pythorch_model.bin
9
  segmentation_batch_size: 32
10
 
11
  params:
handler.py ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from typing import Dict
2
+ from pyannote.audio import Pipeline
3
+ from io import BytesIO
4
+ import torch
5
+ import torchaudio
6
+
7
+
8
+ class EndpointHandler:
9
+ def __init__(self, path=""):
10
+ # load the model
11
+ self.pipeline = Pipeline.from_pretrained("config.yaml")
12
+
13
+ def __call__(self, data: Dict[str, bytes]) -> Dict[str, str]:
14
+ """
15
+ Args:
16
+ data (:obj:):
17
+ includes the deserialized audio file as bytes
18
+ Return:
19
+ A :obj:`dict`:. base64 encoded image
20
+ """
21
+ # process input
22
+ inputs = data.pop("inputs", data)
23
+ parameters = data.pop("parameters", None) # min_speakers=2, max_speakers=5
24
+
25
+ waveform, sample_rate = torchaudio.load(BytesIO(inputs))
26
+ pyannote_input = {"waveform": waveform, "sample_rate": sample_rate}
27
+
28
+ # apply pretrained pipeline
29
+ # pass inputs with all kwargs in data
30
+ if parameters is not None:
31
+ diarization = self.pipeline(pyannote_input, **parameters)
32
+ else:
33
+ diarization = self.pipeline(pyannote_input)
34
+
35
+ # postprocess the prediction
36
+ processed_diarization = [
37
+ {"label": str(label), "start": str(segment.start), "stop": str(segment.end)}
38
+ for segment, _, label in diarization.itertracks(yield_label=True)
39
+ ]
40
+
41
+ return {"diarization": processed_diarization}
handler_test.py ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ from handler import EndpointHandler
2
+ from pathlib import Path
3
+
4
+ my_handler = EndpointHandler()
5
+
6
+ with open("./handler_test.wav", "rb") as file:
7
+ bytes_data = file.read()
8
+ res = my_handler({"inputs": bytes_data})
9
+ print(res)
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pyannote_segmentation_2022_07_pythorch_model.bin ADDED
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+ [project]
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+ name = "pyannote-speaker-diarization"
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+ version = "0.1.0"
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+ description = "Add your description here"
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+ authors = [
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+ { name = "Katsuya Oda", email = "katsuya@hicustomer.jp" }
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+ ]
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+ dependencies = [
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+ "pyannote.audio @ git+https://github.com/pyannote/pyannote-audio.git@2.1.1",
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+ "torch==1.13.1",
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127
+ typer==0.9.0
128
+ typing-extensions==4.7.1
129
+ tzdata==2023.3
130
+ urllib3==1.26.16
131
+ werkzeug==2.3.6
132
+ wheel==0.41.1
133
+ yarl==1.9.2
134
+ zipp==3.16.2
135
+ # The following packages are considered to be unsafe in a requirements file:
136
+ setuptools==68.0.0
requirements.txt ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ torch==1.13.1
2
+ pyannote.audio @ git+https://github.com/pyannote/pyannote-audio.git@2.1.1