cleanup requirements and imported packages
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4 changed files with 12 additions and 13 deletions
9
.vscode/settings.json
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.vscode/settings.json
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{
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// "editor.cursorBlinking": "expand",
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"flake8.args": [
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// --ignore=E501
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// --max-line-length=120
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"--ignore=E501",
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"--ignore=E722"
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]
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}
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@ -2,7 +2,9 @@
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Run DNF3 and/or RNNOISE on any audio you like.
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Run DNF3 and/or RNNOISE on any audio you like.
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Just build it:
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Put your noisy audio into the ```noisy_audio``` Folder,
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build it
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```podman build -t sound-processing-functions .```
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```podman build -t sound-processing-functions .```
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@ -1,9 +1,3 @@
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smbprotocol
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requests
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lxml
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ffmpeg-python
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# DFN (DeepFilterNet)
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# DFN (DeepFilterNet)
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deepfilternet
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deepfilternet
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torch
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torch
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@ -26,7 +20,3 @@ torchaudio -f https://download.pytorch.org/whl/cpu/torch_stable.html
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#espnet_model_zoo
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#espnet_model_zoo
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# wheel
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# wheel
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# https://files.pythonhosted.org/packages/4d/9d/9153942f0e2143a43978bcefba31d79187b7037bed3f85a6668c69493062/sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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# https://files.pythonhosted.org/packages/4d/9d/9153942f0e2143a43978bcefba31d79187b7037bed3f85a6668c69493062/sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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# MISC
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#torchaudio
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import smbclient
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import logging
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import logging
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import traceback
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import traceback
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import json
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import json
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@ -6,7 +5,6 @@ import os
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import sys
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import sys
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from pathlib import Path
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from pathlib import Path
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from datetime import datetime
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from datetime import datetime
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from lxml import etree
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import subprocess
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import subprocess
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# DeepFilterNet (DFN3)
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# DeepFilterNet (DFN3)
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