text stringlengths 1 93.6k |
|---|
test = []
|
idx = 0
|
spk_dict = {}
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spk_id = 0
|
for speaker in tqdm(os.listdir(args.source_dir)):
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spk_dict[speaker] = spk_id
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spk_id += 1
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wavs = [os.path.join(args.source_dir, speaker, i)for i in os.listdir(os.path.join(args.source_dir, speaker))]
|
wavs = [i for i in wavs if i.endswith("wav")]
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shuffle(wavs)
|
train += wavs[2:-10]
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val += wavs[:2]
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test += wavs[-10:]
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n_speakers = len(spk_dict.keys())*2
|
shuffle(train)
|
shuffle(val)
|
shuffle(test)
|
print("Writing", args.train_list)
|
with open(args.train_list, "w") as f:
|
for fname in tqdm(train):
|
wavpath = fname
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f.write(wavpath + "\n")
|
print("Writing", args.val_list)
|
with open(args.val_list, "w") as f:
|
for fname in tqdm(val):
|
wavpath = fname
|
f.write(wavpath + "\n")
|
print("Writing", args.test_list)
|
with open(args.test_list, "w") as f:
|
for fname in tqdm(test):
|
wavpath = fname
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f.write(wavpath + "\n")
|
config_template["model"]["n_speakers"] = n_speakers
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config_template["spk"] = spk_dict
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print("Writing configs/config.json")
|
with open("configs/config.json", "w") as f:
|
json.dump(config_template, f, indent=2)
|
# <FILESEP>
|
from stable_audio_tools import get_pretrained_model
|
from interface.gradio import create_ui
|
import json
|
import torch
|
def main(args):
|
torch.manual_seed(42)
|
interface = create_ui(
|
model_config_path = args.model_config,
|
ckpt_path=args.ckpt_path,
|
lora_dir=args.lora_dir,
|
pretrained_name=args.pretrained_name,
|
pretransform_ckpt_path=args.pretransform_ckpt_path,
|
model_half=args.model_half
|
)
|
interface.queue()
|
interface.launch(share=True, auth=(args.username, args.password) if args.username is not None else None)
|
if __name__ == "__main__":
|
import argparse
|
parser = argparse.ArgumentParser(description='Run gradio interface')
|
parser.add_argument('--pretrained-name', type=str, help='Name of pretrained model', required=False)
|
parser.add_argument('--model-config', type=str, help='Path to model config', required=False)
|
parser.add_argument('--ckpt-path', type=str, help='Path to model checkpoint', required=False)
|
parser.add_argument('--lora-dir', type=str, help='Directory containing lora checkpoints', required=False)
|
parser.add_argument('--pretransform-ckpt-path', type=str, help='Optional to model pretransform checkpoint', required=False)
|
parser.add_argument('--username', type=str, help='Gradio username', required=False)
|
parser.add_argument('--password', type=str, help='Gradio password', required=False)
|
parser.add_argument('--model-half', action='store_true', help='Whether to use half precision', required=False)
|
args = parser.parse_args()
|
main(args)
|
# <FILESEP>
|
#!/usr/bin/env python
|
# -*- coding: utf-8 -*-
|
"""
|
oauth2-tester - Penetration test / security script for the OAuth 2.0 framework
|
Copyright (C) 2017 Peter Mosmans [Radically Open Security]
|
This program is free software: you can redistribute it and/or modify
|
it under the terms of the GNU General Public License as published by
|
the Free Software Foundation, either version 3 of the License, or
|
(at your option) any later version.
|
"""
|
from __future__ import absolute_import
|
from __future__ import print_function
|
from __future__ import unicode_literals
|
import argparse
|
import logging
|
import sys
|
import textwrap
|
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