OPENGIT/Retrieval-based-Voice-Conversion-WebUI
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VSlobolinskyi 2025-03-19 14:34:51 +02:00
parent bddf542bdf
commit a1264bc5cf
5 changed files with 3971 additions and 146 deletions
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2
infer-web.py
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@ -176,7 +176,7 @@ def change_choices():
"__type__": "update", "__type__": "update",
} }
# Only works for NVIDIA GPUs
def clean(): def clean():
return {"value": "", "__type__": "update"} return {"value": "", "__type__": "update"}

186
poetry.lock generated
View File

@ -1265,62 +1265,67 @@ websockets = ">=10.0,<13.0"
[[package]] [[package]]
name = "grpcio" name = "grpcio"
version = "1.65.4" version = "1.71.0"
description = "HTTP/2-based RPC framework" description = "HTTP/2-based RPC framework"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.9"
groups = ["main"] groups = ["main"]
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{file = "grpcio-1.71.0-cp39-cp39-win_amd64.whl", hash = "sha256:63e41b91032f298b3e973b3fa4093cbbc620c875e2da7b93e249d4728b54559a"},
{file = "grpcio-1.71.0.tar.gz", hash = "sha256:2b85f7820475ad3edec209d3d89a7909ada16caab05d3f2e08a7e8ae3200a55c"},
] ]
[package.extras] [package.extras]
protobuf = ["grpcio-tools (>=1.65.4)"] protobuf = ["grpcio-tools (>=1.71.0)"]
[[package]] [[package]]
name = "h11" name = "h11"
@ -1490,18 +1495,6 @@ files = [
{file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"}, {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
] ]
[[package]]
name = "json5"
version = "0.9.25"
description = "A Python implementation of the JSON5 data format."
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"},
{file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"},
]
[[package]] [[package]]
name = "jsonschema" name = "jsonschema"
version = "4.23.0" version = "4.23.0"
@ -1930,14 +1923,14 @@ source = ["Cython (>=3.0.11)"]
[[package]] [[package]]
name = "markdown" name = "markdown"
version = "3.6" version = "3.7"
description = "Python implementation of John Gruber's Markdown." description = "Python implementation of John Gruber's Markdown."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
groups = ["main"] groups = ["main"]
files = [ files = [
{file = "Markdown-3.6-py3-none-any.whl", hash = "sha256:48f276f4d8cfb8ce6527c8f79e2ee29708508bf4d40aa410fbc3b4ee832c850f"}, {file = "Markdown-3.7-py3-none-any.whl", hash = "sha256:7eb6df5690b81a1d7942992c97fad2938e956e79df20cbc6186e9c3a77b1c803"},
{file = "Markdown-3.6.tar.gz", hash = "sha256:ed4f41f6daecbeeb96e576ce414c41d2d876daa9a16cb35fa8ed8c2ddfad0224"}, {file = "markdown-3.7.tar.gz", hash = "sha256:2ae2471477cfd02dbbf038d5d9bc226d40def84b4fe2986e49b59b6b472bbed2"},
] ]
[package.extras] [package.extras]
@ -3112,33 +3105,6 @@ files = [
{file = "protobuf-4.25.4.tar.gz", hash = "sha256:0dc4a62cc4052a036ee2204d26fe4d835c62827c855c8a03f29fe6da146b380d"}, {file = "protobuf-4.25.4.tar.gz", hash = "sha256:0dc4a62cc4052a036ee2204d26fe4d835c62827c855c8a03f29fe6da146b380d"},
] ]
[[package]]
name = "pyasn1"
version = "0.6.0"
description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "pyasn1-0.6.0-py2.py3-none-any.whl", hash = "sha256:cca4bb0f2df5504f02f6f8a775b6e416ff9b0b3b16f7ee80b5a3153d9b804473"},
{file = "pyasn1-0.6.0.tar.gz", hash = "sha256:3a35ab2c4b5ef98e17dfdec8ab074046fbda76e281c5a706ccd82328cfc8f64c"},
]
[[package]]
name = "pyasn1-modules"
version = "0.4.0"
description = "A collection of ASN.1-based protocols modules"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "pyasn1_modules-0.4.0-py3-none-any.whl", hash = "sha256:be04f15b66c206eed667e0bb5ab27e2b1855ea54a842e5037738099e8ca4ae0b"},
{file = "pyasn1_modules-0.4.0.tar.gz", hash = "sha256:831dbcea1b177b28c9baddf4c6d1013c24c3accd14a1873fffaa6a2e905f17b6"},
]
[package.dependencies]
pyasn1 = ">=0.4.6,<0.7.0"
[[package]] [[package]]
name = "pycparser" name = "pycparser"
version = "2.22" version = "2.22"
@ -3983,13 +3949,13 @@ widechars = ["wcwidth"]
[[package]] [[package]]
name = "tensorboard" name = "tensorboard"
version = "2.17.0" version = "2.19.0"
description = "TensorBoard lets you watch Tensors Flow" description = "TensorBoard lets you watch Tensors Flow"
optional = false optional = false
python-versions = ">=3.9" python-versions = ">=3.9"
groups = ["main"] groups = ["main"]
files = [ files = [
{file = "tensorboard-2.17.0-py3-none-any.whl", hash = "sha256:859a499a9b1fb68a058858964486627100b71fcb21646861c61d31846a6478fb"}, {file = "tensorboard-2.19.0-py3-none-any.whl", hash = "sha256:5e71b98663a641a7ce8a6e70b0be8e1a4c0c45d48760b076383ac4755c35b9a0"},
] ]
[package.dependencies] [package.dependencies]
@ -3997,7 +3963,8 @@ absl-py = ">=0.4"
grpcio = ">=1.48.2" grpcio = ">=1.48.2"
markdown = ">=2.6.8" markdown = ">=2.6.8"
numpy = ">=1.12.0" numpy = ">=1.12.0"
protobuf = ">=3.19.6,<4.24.0 || >4.24.0,<5.0.0" packaging = "*"
protobuf = ">=3.19.6,<4.24.0 || >4.24.0"
setuptools = ">=41.0.0" setuptools = ">=41.0.0"
six = ">1.9" six = ">1.9"
tensorboard-data-server = ">=0.7.0,<0.8.0" tensorboard-data-server = ">=0.7.0,<0.8.0"
@ -4234,27 +4201,6 @@ torch = "2.4.1"
gdown = ["gdown (>=4.7.3)"] gdown = ["gdown (>=4.7.3)"]
scipy = ["scipy"] scipy = ["scipy"]
[[package]]
name = "tornado"
version = "6.4.1"
description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"},
{file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"},
{file = "tornado-6.4.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e20b9113cd7293f164dc46fffb13535266e713cdb87bd2d15ddb336e96cfc4"},
{file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8ae50a504a740365267b2a8d1a90c9fbc86b780a39170feca9bcc1787ff80842"},
{file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:613bf4ddf5c7a95509218b149b555621497a6cc0d46ac341b30bd9ec19eac7f3"},
{file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:25486eb223babe3eed4b8aecbac33b37e3dd6d776bc730ca14e1bf93888b979f"},
{file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:454db8a7ecfcf2ff6042dde58404164d969b6f5d58b926da15e6b23817950fc4"},
{file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a02a08cc7a9314b006f653ce40483b9b3c12cda222d6a46d4ac63bb6c9057698"},
{file = "tornado-6.4.1-cp38-abi3-win32.whl", hash = "sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d"},
{file = "tornado-6.4.1-cp38-abi3-win_amd64.whl", hash = "sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7"},
{file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"},
]
[[package]] [[package]]
name = "tqdm" name = "tqdm"
version = "4.66.5" version = "4.66.5"
@ -4476,14 +4422,14 @@ files = [
[[package]] [[package]]
name = "werkzeug" name = "werkzeug"
version = "3.0.3" version = "3.1.3"
description = "The comprehensive WSGI web application library." description = "The comprehensive WSGI web application library."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.9"
groups = ["main"] groups = ["main"]
files = [ files = [
{file = "werkzeug-3.0.3-py3-none-any.whl", hash = "sha256:fc9645dc43e03e4d630d23143a04a7f947a9a3b5727cd535fdfe155a17cc48c8"}, {file = "werkzeug-3.1.3-py3-none-any.whl", hash = "sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e"},
{file = "werkzeug-3.0.3.tar.gz", hash = "sha256:097e5bfda9f0aba8da6b8545146def481d06aa7d3266e7448e2cccf67dd8bd18"}, {file = "werkzeug-3.1.3.tar.gz", hash = "sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746"},
] ]
[package.dependencies] [package.dependencies]
@ -4599,4 +4545,4 @@ multidict = ">=4.0"
[metadata] [metadata]
lock-version = "2.1" lock-version = "2.1"
python-versions = ">=3.11,<3.12" python-versions = ">=3.11,<3.12"
content-hash = "5803c6efb57eca486961794f233953c199047b36c5e823e7310488a6adc91fdd" content-hash = "e8a01f5b9b6ce9748c030a0366ebcda95bcd7dc4325ac501634230bacb9f0f11"

28
pyproject.toml
View File

@ -10,45 +10,23 @@ python = ">=3.11,<3.12"
# Common dependencies (non GPU-specific): # Common dependencies (non GPU-specific):
fairseq = { git = "https://github.com/One-sixth/fairseq.git" } fairseq = { git = "https://github.com/One-sixth/fairseq.git" }
joblib = ">=1.1.0"
numba = "*"
numpy = "*" numpy = "*"
scipy = "*" scipy = "*"
librosa = "==0.10.2" librosa = "==0.10.2"
llvmlite = "*"
faiss-cpu = "*" faiss-cpu = "*"
gradio = "==3.34.0" gradio = "==3.34.0"
Cython = "*"
pydub = ">=0.25.1"
soundfile = ">=0.12.1" soundfile = ">=0.12.1"
ffmpeg-python = ">=0.2.0" ffmpeg-python = ">=0.2.0"
tensorboardX = "*"
Jinja2 = ">=3.1.2"
json5 = "*"
Markdown = "*"
matplotlib = ">=3.7.0" matplotlib = ">=3.7.0"
matplotlib-inline = ">=0.1.3" matplotlib-inline = ">=0.1.3"
praat-parselmouth = ">=0.4.2" praat-parselmouth = ">=0.4.2"
Pillow = ">=9.1.1" tensorboardX = "*"
resampy = ">=0.4.2"
scikit-learn = "*"
tensorboard = "*" tensorboard = "*"
Pillow = ">=9.1.1"
scikit-learn = "*"
tqdm = ">=4.63.1" tqdm = ">=4.63.1"
tornado = ">=6.1"
Werkzeug = ">=2.2.3"
uc-micro-py = ">=1.0.1"
sympy = ">=1.11.1"
tabulate = ">=0.8.10"
PyYAML = ">=6.0"
pyasn1 = ">=0.4.8"
pyasn1-modules = ">=0.2.8"
fsspec = ">=2022.11.0"
absl-py = ">=1.2.0"
audioread = "*"
uvicorn = ">=0.21.1" uvicorn = ">=0.21.1"
colorama = ">=0.4.5"
pyworld = "==0.3.2" pyworld = "==0.3.2"
httpx = "*"
onnxruntime = { version = "*", markers = "sys_platform == 'darwin'" } onnxruntime = { version = "*", markers = "sys_platform == 'darwin'" }
onnxruntime-gpu = { version = "*", markers = "sys_platform != 'darwin'" } onnxruntime-gpu = { version = "*", markers = "sys_platform != 'darwin'" }
torchcrepe = "==0.0.23" torchcrepe = "==0.0.23"

105
temp_tools/analize_deps.py Normal file
View File

@ -0,0 +1,105 @@
import os
import ast
from collections import defaultdict
class CodeAnalyzer(ast.NodeVisitor):
def __init__(self):
# Stores plain "import module" names.
self.imports = set()
# Stores "from module import name" mapping.
self.from_imports = defaultdict(set)
# Stores names of functions called (this is a best effort approach).
self.function_calls = set()
def visit_Import(self, node):
for alias in node.names:
self.imports.add(alias.name)
self.generic_visit(node)
def visit_ImportFrom(self, node):
# node.module can be None in some cases (e.g. relative imports), so we check.
if node.module:
for alias in node.names:
self.from_imports[node.module].add(alias.name)
self.generic_visit(node)
def visit_Call(self, node):
func_name = self.get_call_name(node.func)
if func_name:
self.function_calls.add(func_name)
self.generic_visit(node)
def get_call_name(self, node):
"""
Try to resolve the name of the function being called.
For example:
- For a simple call like foo(), returns "foo".
- For a call like module.foo(), returns "module.foo".
"""
if isinstance(node, ast.Name):
return node.id
elif isinstance(node, ast.Attribute):
parent = self.get_call_name(node.value)
if parent:
return f"{parent}.{node.attr}"
return node.attr
return None
def process_file(file_path):
"""
Parse the Python file at file_path and return an analysis of its imports and function calls.
"""
try:
with open(file_path, 'r', encoding='utf-8') as f:
file_content = f.read()
tree = ast.parse(file_content, filename=file_path)
except Exception as e:
print(f"Skipping {file_path} (could not parse): {e}")
return None
analyzer = CodeAnalyzer()
analyzer.visit(tree)
return {
'imports': sorted(analyzer.imports),
'from_imports': {module: sorted(names) for module, names in analyzer.from_imports.items()},
'function_calls': sorted(analyzer.function_calls)
}
def process_directory(root_dir):
"""
Walk recursively through root_dir, process each .py file, and collect analysis data.
"""
summary = {}
for dirpath, _, filenames in os.walk(root_dir):
for filename in filenames:
if filename.endswith(".py"):
file_path = os.path.join(dirpath, filename)
analysis = process_file(file_path)
if analysis is not None:
summary[file_path] = analysis
return summary
def write_summary(summary, output_file):
"""
Write the collected analysis to a text file in a human-readable format.
"""
with open(output_file, 'w', encoding='utf-8') as f:
for file, data in summary.items():
f.write(f"File: {file}\n")
f.write(" Imports:\n")
for imp in data['imports']:
f.write(f" - {imp}\n")
f.write(" From Imports:\n")
for module, names in data['from_imports'].items():
f.write(f" - {module}: {', '.join(names)}\n")
f.write(" Function Calls:\n")
for call in data['function_calls']:
f.write(f" - {call}\n")
f.write("\n")
print(f"Analysis written to {output_file}")
if __name__ == '__main__':
project_root = os.getcwd() # Assumes the script is placed at your project root.
analysis_summary = process_directory(project_root)
output_summary_file = "temp_tools/used_dependencies.txt"
write_summary(analysis_summary, output_summary_file)

3796
temp_tools/used_dependencies.txt Normal file
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