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values | stars int64 617 98.8k | forks int64 31 355 ⌀ | watchers int64 990 999 ⌀ | license stringclasses 2
values | default_branch stringclasses 2
values | repo_created_at timestamp[s]date 2012-07-24 23:12:50 2025-06-16 08:07:28 ⌀ | repo_updated_at timestamp[s]date 2026-02-23 15:23:15 2026-05-03 18:52:12 ⌀ | repo_topics listlengths 0 13 ⌀ | repo_languages unknown | is_fork bool 1
class | open_issues int64 3 104 ⌀ | file_path stringlengths 3 208 | file_name stringclasses 509
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
docling-project/docling | https://github.com/docling-project/docling | null | null | null | null | 59,076 | null | null | mit | null | null | null | null | null | null | null | docling/backend/noop_backend.py | null | null | null | null | null | null | Python | 2026-05-04T02:17:59.098422 | import logging
from io import BytesIO
from pathlib import Path
from typing import Set, Union
from docling.backend.abstract_backend import AbstractDocumentBackend
from docling.datamodel.base_models import InputFormat
from docling.datamodel.document import InputDocument
_log = logging.getLogger(__name__)
class NoOpBa... |
docling-project/docling | https://github.com/docling-project/docling | null | null | null | null | 59,076 | null | null | mit | null | null | null | null | null | null | null | docling/backend/pdf_backend.py | null | null | null | null | null | null | Python | 2026-05-04T02:17:59.130950 | from abc import ABC, abstractmethod
from collections.abc import Iterable
from io import BytesIO
from pathlib import Path
from typing import Optional, Set, Union
from docling_core.types.doc import BoundingBox, Size
from docling_core.types.doc.page import SegmentedPdfPage, TextCell
from PIL import Image
from docling.ba... |
docling-project/docling | https://github.com/docling-project/docling | null | null | null | null | 59,076 | null | null | mit | null | null | null | null | null | null | null | docling/backend/pypdfium2_backend.py | null | null | null | null | null | null | Python | 2026-05-04T02:17:59.199295 | import logging
import random
from collections.abc import Iterable
from importlib.metadata import version
from io import BytesIO
from pathlib import Path
from typing import TYPE_CHECKING, List, Optional, Union
import pypdfium2 as pdfium
import pypdfium2.raw as pdfium_c
from docling_core.types.doc import BoundingBox, Co... |
docling-project/docling | https://github.com/docling-project/docling | null | null | null | null | 59,076 | null | null | mit | null | null | null | null | null | null | null | docling/backend/webvtt_backend.py | null | null | null | null | null | null | Python | 2026-05-04T02:17:59.204550 | import logging
from dataclasses import dataclass, field
from io import BytesIO
from pathlib import Path
from docling_core.types.doc import (
ContentLayer,
DocItemLabel,
DoclingDocument,
DocumentOrigin,
Formatting,
TrackSource,
)
from docling_core.types.doc.webvtt import (
WebVTTCueBoldSpan,... |
docling-project/docling | https://github.com/docling-project/docling | null | null | null | null | 59,076 | null | null | mit | null | null | null | null | null | null | null | docling/backend/xml/jats_backend.py | null | null | null | null | null | null | Python | 2026-05-04T02:17:59.345048 | """Backend to parse articles in JATS (Journal Article Tag Suite) XML format.
JATS is a standard XML format used by publishers and journal archives including
PubMed Central (PMC), bioRxiv, and medRxiv for representing journal articles.
Security Note:
This module uses lxml.etree.XMLParser with secure configuration ... |
docling-project/docling | https://github.com/docling-project/docling | null | null | null | null | 59,076 | null | null | mit | null | null | null | null | null | null | null | docling/backend/xml/uspto_backend.py | null | null | null | null | null | null | Python | 2026-05-04T02:17:59.450836 | """Backend to parse patents from the United States Patent Office (USPTO).
The parsers included in this module can handle patent grants published since 1976 and
patent applications since 2001.
The original files can be found in https://bulkdata.uspto.gov.
Security Note:
This module uses defusedxml.sax.make_parser(... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | config/eval_gpt2_xl.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:01.714131 | # evaluate the base gpt2
# n_layer=48, n_head=25, n_embd=1600
# 1558M parameters
batch_size = 8
eval_iters = 500 # use more iterations to get good estimate
eval_only = True
wandb_log = False
init_from = 'gpt2-xl'
|
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | config/eval_gpt2_medium.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:01.715400 | # evaluate the base gpt2
# n_layer=24, n_head=16, n_embd=1024
# 350M parameters
batch_size = 8
eval_iters = 500 # use more iterations to get good estimate
eval_only = True
wandb_log = False
init_from = 'gpt2-medium'
|
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | config/eval_gpt2_large.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:01.724057 | # evaluate the base gpt2
# n_layer=36, n_head=20, n_embd=1280
# 774M parameters
batch_size = 8
eval_iters = 500 # use more iterations to get good estimate
eval_only = True
wandb_log = False
init_from = 'gpt2-large'
|
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | config/train_gpt2.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:01.725253 | # config for training GPT-2 (124M) down to very nice loss of ~2.85 on 1 node of 8X A100 40GB
# launch as the following (e.g. in a screen session) and wait ~5 days:
# $ torchrun --standalone --nproc_per_node=8 train.py config/train_gpt2.py
wandb_log = True
wandb_project = 'owt'
wandb_run_name='gpt2-124M'
# these make ... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | config/eval_gpt2.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:01.736114 | # evaluate the base gpt2
# n_layer=12, n_head=12, n_embd=768
# 124M parameters
batch_size = 8
eval_iters = 500 # use more iterations to get good estimate
eval_only = True
wandb_log = False
init_from = 'gpt2'
|
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | data/openwebtext/prepare.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:01.737604 | # saves the openwebtext dataset to a binary file for training. following was helpful:
# https://github.com/HazyResearch/flash-attention/blob/main/training/src/datamodules/language_modeling_hf.py
import os
from tqdm import tqdm
import numpy as np
import tiktoken
from datasets import load_dataset # huggingface datasets
... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | bench.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:01.744985 | """
A much shorter version of train.py for benchmarking
"""
import os
from contextlib import nullcontext
import numpy as np
import time
import torch
from model import GPTConfig, GPT
# -----------------------------------------------------------------------------
batch_size = 12
block_size = 1024
bias = False
real_data ... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | configurator.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:01.765243 | """
Poor Man's Configurator. Probably a terrible idea. Example usage:
$ python train.py config/override_file.py --batch_size=32
this will first run config/override_file.py, then override batch_size to 32
The code in this file will be run as follows from e.g. train.py:
>>> exec(open('configurator.py').read())
So it's ... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | config/train_shakespeare_char.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:01.774653 | # train a miniature character-level shakespeare model
# good for debugging and playing on macbooks and such
out_dir = 'out-shakespeare-char'
eval_interval = 250 # keep frequent because we'll overfit
eval_iters = 200
log_interval = 10 # don't print too too often
# we expect to overfit on this small dataset, so only sa... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | config/finetune_shakespeare.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:01.775343 | import time
out_dir = 'out-shakespeare'
eval_interval = 5
eval_iters = 40
wandb_log = False # feel free to turn on
wandb_project = 'shakespeare'
wandb_run_name = 'ft-' + str(time.time())
dataset = 'shakespeare'
init_from = 'gpt2-xl' # this is the largest GPT-2 model
# only save checkpoints if the validation loss imp... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | train.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:02.646272 | """
This training script can be run both on a single gpu in debug mode,
and also in a larger training run with distributed data parallel (ddp).
To run on a single GPU, example:
$ python train.py --batch_size=32 --compile=False
To run with DDP on 4 gpus on 1 node, example:
$ torchrun --standalone --nproc_per_node=4 tr... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | data/shakespeare_char/prepare.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:02.646844 | """
Prepare the Shakespeare dataset for character-level language modeling.
So instead of encoding with GPT-2 BPE tokens, we just map characters to ints.
Will save train.bin, val.bin containing the ids, and meta.pkl containing the
encoder and decoder and some other related info.
"""
import os
import pickle
import reques... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | model.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:02.647501 | """
Full definition of a GPT Language Model, all of it in this single file.
References:
1) the official GPT-2 TensorFlow implementation released by OpenAI:
https://github.com/openai/gpt-2/blob/master/src/model.py
2) huggingface/transformers PyTorch implementation:
https://github.com/huggingface/transformers/blob/main/s... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | data/shakespeare/prepare.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:03.049655 | import os
import requests
import tiktoken
import numpy as np
# download the tiny shakespeare dataset
input_file_path = os.path.join(os.path.dirname(__file__), 'input.txt')
if not os.path.exists(input_file_path):
data_url = 'https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt'
... |
karpathy/nanoGPT | https://github.com/karpathy/nanoGPT | null | null | null | null | 57,461 | null | null | mit | null | null | null | null | null | null | null | sample.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:03.162131 | """
Sample from a trained model
"""
import os
import pickle
from contextlib import nullcontext
import torch
import tiktoken
from model import GPTConfig, GPT
# -----------------------------------------------------------------------------
init_from = 'resume' # either 'resume' (from an out_dir) or a gpt2 variant (e.g. '... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/data/dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:05.619983 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/data/dataset.py
# reference: https://github.com/lifeiteng/vall-e
# sys.path.append("/data/docker/liujing04/gpt-vits/mq-vits-s1bert_no_bert")
import os
import traceback
from typing import Dict, List
import numpy as np
import pandas... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/data/bucket_sampler.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:05.638397 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/data/bucket_sampler.py
# reference: https://github.com/lifeiteng/vall-e
import itertools
import math
import random
from random import shuffle
from typing import Iterator, Optional, TypeVar
import torch
import torch.distributed as d... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/models/embedding_cudagraph.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:05.647285 | import math
import torch
from torch import nn
class TokenEmbedding(nn.Module):
def __init__(self, embedding_dim: int, vocab_size: int, dropout: float = 0.0):
super().__init__()
self.vocab_size = vocab_size
self.embedding_dim = embedding_dim
self.dropout = nn.Dropout(p=dropout)
... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/models/t2s_lightning_module_onnx.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:05.648323 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_lightning_module.py
# reference: https://github.com/lifeiteng/vall-e
import os
import sys
now_dir = os.getcwd()
sys.path.append(now_dir)
from typing import Dict
import torch
from pytorch_lightning import LightningModule... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/models/structs_cudagraph.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:05.657261 | from __future__ import annotations
from dataclasses import dataclass
from typing import List, Literal, Optional
import torch
Tensor = torch.Tensor
@dataclass
class T2SResult:
result: List[Tensor] | None = None
infer_speed: float = 0.0
status: Literal["Success", "Error"] = "Success"
exception: Optio... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/models/t2s_lightning_module.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:05.686940 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_lightning_module.py
# reference: https://github.com/lifeiteng/vall-e
import os
import sys
now_dir = os.getcwd()
sys.path.append(now_dir)
from typing import Dict
import torch
from pytorch_lightning import LightningModule... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/data/data_module.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:05.733993 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/data/data_module.py
# reference: https://github.com/lifeiteng/vall-e
from pytorch_lightning import LightningDataModule
from torch.utils.data import DataLoader
from AR.data.bucket_sampler import DistributedBucketSampler
from AR.data... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/models/t2s_model_cudagraph.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.234434 | """
CUDA Graph accelerated T2S decoder.
Uses PyTorch native scaled_dot_product_attention (no flash_attn dependency).
Adapted from gsvpp/AR/models/t2s_model_abc.py and t2s_model_flash_attn.py.
"""
from __future__ import annotations
import os
import time
import traceback
from typing import Dict, List, MutableSequence, ... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/models/t2s_model_onnx.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.264400 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_model.py
# reference: https://github.com/lifeiteng/vall-e
import torch
from torch import nn
from torch.nn import functional as F
from torchmetrics.classification import MulticlassAccuracy
from AR.modules.embedding_onnx i... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/activation.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.309815 | # modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/activation.py
from typing import Optional, Tuple
import torch
from torch import Tensor
from torch.nn import Linear, Module
from torch.nn import functional as F
from torch.nn.init import constant_, xavier_normal_, xavier_uniform_
from torch.nn.... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/embedding.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.332997 | # modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/embedding.py
import math
import torch
from torch import nn
class TokenEmbedding(nn.Module):
def __init__(
self,
embedding_dim: int,
vocab_size: int,
dropout: float = 0.0,
):
super().__init__()
... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/activation_onnx.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.334242 | # modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/activation.py
from typing import Optional, Tuple
import torch
from torch import Tensor
from torch.nn import Linear, Module
from torch.nn.init import constant_, xavier_normal_, xavier_uniform_
from torch.nn.modules.linear import NonDynamicallyQ... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/lr_schedulers.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.347002 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/modules/lr_schedulers.py
# reference: https://github.com/lifeiteng/vall-e
import math
import torch
from matplotlib import pyplot as plt
from torch import nn
from torch.optim import Adam
class WarmupCosineLRSchedule(torch.optim.lr... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/models/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.358232 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/utils.py
# reference: https://github.com/lifeiteng/vall-e
from typing import Tuple
import torch
import torch.nn.functional as F
def sequence_mask(length, max_length=None):
if max_length is None:
max_length = le... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/embedding_onnx.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.362320 | # modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/embedding.py
import math
import torch
from torch import nn
class TokenEmbedding(nn.Module):
def __init__(
self,
embedding_dim: int,
vocab_size: int,
dropout: float = 0.0,
):
super().__init__()
... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/models/t2s_model.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.387392 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_model.py
# reference: https://github.com/lifeiteng/vall-e
import math
from typing import List, Optional
import torch
from torch import nn
from torch.nn import functional as F
from torchmetrics.classification import Multi... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/optim.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.954722 | # Copyright 2022 Xiaomi Corp. (authors: Daniel Povey)
#
# See ../LICENSE for clarification regarding multiple authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/text_processing/symbols.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.987908 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/text_processing/symbols.py
# reference: https://github.com/lifeiteng/vall-e
PAD = "_"
PUNCTUATION = ';:,.!?¡¿—…"«»“” '
LETTERS = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"
IPA_LETTERS = (
"ɑɐɒæɓʙβɔɕçɗɖðʤəɘɚɛɜɝɞɟʄɡɠɢʛ... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/scaling.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.989121 | # Copyright 2022 Xiaomi Corp. (authors: Daniel Povey)
#
# See ../../../../LICENSE for clarification regarding multiple authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/transformer_onnx.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:06.999380 | # modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/transformer.py
import copy
import numbers
from functools import partial
from typing import Any
from typing import Callable
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
import torch
from ... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/text_processing/phonemizer.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.002452 | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/text_processing/phonemizer.py
# reference: https://github.com/lifeiteng/vall-e
import itertools
import re
from typing import Dict
from typing import List
import regex
from gruut import sentences
from gruut.const import Sentence
fro... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/transformer.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.003653 | # modified from https://github.com/lifeiteng/vall-e/blob/main/valle/modules/transformer.py
import copy
import numbers
from functools import partial
from typing import Any
from typing import Callable
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
import torch
from ... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/utils/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.067052 | import re
def str2bool(str):
return True if str.lower() == "true" else False
def get_newest_ckpt(string_list):
# 定义一个正则表达式模式，用于匹配字符串中的数字
pattern = r"epoch=(\d+)-step=(\d+)\.ckpt"
# 使用正则表达式提取每个字符串中的数字信息，并创建一个包含元组的列表
extracted_info = []
for string in string_list:
match = re.match(patt... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/patched_mha_with_cache_onnx.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.072549 | from torch.nn.functional import *
from torch.nn.functional import (
_canonical_mask,
)
def multi_head_attention_forward_patched(
query,
key,
value,
embed_dim_to_check,
num_heads,
in_proj_weight,
in_proj_bias,
bias_k,
bias_v,
add_zero_attn,
dropout_p,
... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/modules/patched_mha_with_cache.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.073845 | from torch.nn.functional import *
from torch.nn.functional import (
_mha_shape_check,
_canonical_mask,
_none_or_dtype,
_in_projection_packed,
)
import torch
# Tensor = torch.Tensor
# from typing import Callable, List, Optional, Tuple, Union
def multi_head_attention_forward_patched(
qu... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/utils/io.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.596179 | import sys
import torch
import yaml
def load_yaml_config(path):
with open(path) as f:
config = yaml.full_load(f)
return config
def save_config_to_yaml(config, path):
assert path.endswith(".yaml")
with open(path, "w") as f:
f.write(yaml.dump(config))
f.close()
def write_arg... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/activations.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.617749 | # Implementation adapted from https://github.com/EdwardDixon/snake under the MIT license.
# LICENSE is in incl_licenses directory.
import torch
from torch import nn, sin, pow
from torch.nn import Parameter
class Snake(nn.Module):
"""
Implementation of a sine-based periodic activation function
Shape:
... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/alias_free_activation/cuda/load.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.618909 | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
import os
import pathlib
import subprocess
from torch.utils import cpp_extension
"""
Setting this param to a list has a problem of generating different compilation commands (with diferent order of architectures) and leading to recompilation... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/alias_free_activation/torch/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.636459 | # Adapted from https://github.com/junjun3518/alias-free-torch under the Apache License 2.0
# LICENSE is in incl_licenses directory.
from .filter import *
from .resample import *
from .act import *
|
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/alias_free_activation/cuda/activation1d.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.663429 | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
import torch
import torch.nn as nn
from alias_free_activation.torch.resample import UpSample1d, DownSample1d
# load fused CUDA kernel: this enables importing anti_alias_activation_cuda
from alias_free_activation.cuda import load
anti_alias_... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/AR/utils/initialize.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.666154 | #!/usr/bin/env python3
"""Initialize modules for espnet2 neural networks."""
import torch
from typeguard import check_argument_types
def initialize(model: torch.nn.Module, init: str):
"""Initialize weights of a neural network module.
Parameters are initialized using the given method or distribution.
Cu... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/alias_free_activation/torch/resample.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.667650 | # Adapted from https://github.com/junjun3518/alias-free-torch under the Apache License 2.0
# LICENSE is in incl_licenses directory.
import torch.nn as nn
from torch.nn import functional as F
from .filter import LowPassFilter1d
from .filter import kaiser_sinc_filter1d
class UpSample1d(nn.Module):
def __init__(s... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/alias_free_activation/torch/filter.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.671211 | # Adapted from https://github.com/junjun3518/alias-free-torch under the Apache License 2.0
# LICENSE is in incl_licenses directory.
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
if "sinc" in dir(torch):
sinc = torch.sinc
else:
# This code is adopted from adefossez's julius.c... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/alias_free_activation/torch/act.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:07.707931 | # Adapted from https://github.com/junjun3518/alias-free-torch under the Apache License 2.0
# LICENSE is in incl_licenses directory.
import torch.nn as nn
from .resample import UpSample1d, DownSample1d
class Activation1d(nn.Module):
def __init__(
self,
activation,
up_ratio: int = 2,
... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/bigvgan.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:08.221557 | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import os
import json
from pathlib import Path
from typing import Optional, Union, Dict
import torch
import torch.nn as nn
f... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/discriminators.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:08.243879 | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import torch
import torch.nn.functional as F
import torch.nn as nn
from torch.nn import Conv2d
from torch.nn.utils import we... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/inference_e2e.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:08.252883 | # Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
from __future__ import absolute_import, division, print_function, unicode_literals
import glob
import os
import numpy as np
import argparse
import json
import torch
from scipy.io.wavfile import write
fr... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/env.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:08.271466 | # Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import os
import shutil
class AttrDict(dict):
def __init__(self, *args, **kwargs):
super(AttrDict, self).__init__(*args, **kwargs)
self.__dict__ = self
def build_env(config, confi... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/loss.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:08.282521 | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import torch
import torch.nn as nn
from librosa.filters import mel as librosa_mel_fn
from scipy import signal
import typing... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/tests/test_activation_snake_beta.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:08.714012 | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
import os
import sys
# to import modules from parent_dir
parent_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
sys.path.append(parent_dir)
import torch
from alias_free_activation.cuda import activation1d
from activatio... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/inference.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:08.714668 | # Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import argparse
import json
import torch
import librosa
from utils import load_checkpoint
from meldataset imp... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/tests/test_cuda_vs_torch_model.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:08.715113 | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
import os
import sys
# to import modules from parent_dir
parent_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
sys.path.append(parent_dir)
import torch
import json
from env import AttrDict
from bigvgan import BigVGAN
f... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/tests/test_activation.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:08.715718 | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
import os
import sys
# to import modules from parent_dir
parent_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
sys.path.append(parent_dir)
import torch
from alias_free_activation.cuda import activation1d
from activatio... |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS | null | null | null | null | 57,149 | null | null | mit | null | null | null | null | null | null | null | GPT_SoVITS/BigVGAN/meldataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:09.205155 | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import math
import os
import random
import torch
import torch.utils.data
import numpy as np
import librosa
from librosa.filte... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/controllers/base.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:11.447075 | from uuid import uuid4
from fastapi import Request
from app.config import config
from app.models.exception import HttpException
def get_task_id(request: Request):
task_id = request.headers.get("x-task-id")
if not task_id:
task_id = uuid4()
return str(task_id)
def get_api_key(request: Request):... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/controllers/manager/redis_manager.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:11.462088 | import json
from typing import Dict
import redis
from app.controllers.manager.base_manager import TaskManager
from app.models.schema import VideoParams
from app.services import task as tm
FUNC_MAP = {
"start": tm.start,
# 'start_test': tm.start_test
}
class RedisTaskManager(TaskManager):
def __init__(s... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/asgi.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:11.462631 | """Application implementation - ASGI."""
import os
from fastapi import FastAPI, Request
from fastapi.exceptions import RequestValidationError
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
from fastapi.staticfiles import StaticFiles
from loguru import logger
from app.co... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/controllers/manager/base_manager.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:11.468426 | import threading
from typing import Any, Callable, Dict
class TaskManager:
def __init__(self, max_concurrent_tasks: int):
self.max_concurrent_tasks = max_concurrent_tasks
self.current_tasks = 0
self.lock = threading.Lock()
self.queue = self.create_queue()
def create_queue(self... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/config/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:11.471367 | import os
import shutil
import socket
import toml
from loguru import logger
root_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
config_file = f"{root_dir}/config.toml"
def load_config():
# fix: IsADirectoryError: [Errno 21] Is a directory: '/MoneyPrinterTurbo/config.toml'
... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/controllers/v1/base.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:11.472551 | from fastapi import APIRouter
def new_router(dependencies=None):
router = APIRouter()
router.tags = ["V1"]
router.prefix = "/api/v1"
# 将认证依赖项应用于所有路由
if dependencies:
router.dependencies = dependencies
return router
|
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/controllers/manager/memory_manager.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:11.482534 | from queue import Queue
from typing import Dict
from app.controllers.manager.base_manager import TaskManager
class InMemoryTaskManager(TaskManager):
def create_queue(self):
return Queue()
def enqueue(self, task: Dict):
self.queue.put(task)
def dequeue(self):
return self.queue.ge... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/config/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:11.512886 | import os
import sys
from loguru import logger
from app.config import config
from app.utils import utils
def __init_logger():
# _log_file = utils.storage_dir("logs/server.log")
_lvl = config.log_level
root_dir = os.path.dirname(
os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
)
... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/controllers/ping.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:11.513526 | from fastapi import APIRouter, Request
router = APIRouter()
@router.get(
"/ping",
tags=["Health Check"],
description="检查服务可用性",
response_description="pong",
)
def ping(request: Request) -> str:
return "pong"
|
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/models/exception.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:13.609745 | import traceback
from typing import Any
from loguru import logger
class HttpException(Exception):
def __init__(
self, task_id: str, status_code: int, message: str = "", data: Any = None
):
self.message = message
self.status_code = status_code
self.data = data
# Retriev... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/router.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:13.611599 | """Application configuration - root APIRouter.
Defines all FastAPI application endpoints.
Resources:
1. https://fastapi.tiangolo.com/tutorial/bigger-applications
"""
from fastapi import APIRouter
from app.controllers.v1 import llm, video
root_api_router = APIRouter()
# v1
root_api_router.include_router(video.... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/controllers/v1/llm.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:13.612708 | from fastapi import Request
from app.controllers.v1.base import new_router
from app.models.schema import (
VideoScriptRequest,
VideoScriptResponse,
VideoTermsRequest,
VideoTermsResponse,
)
from app.services import llm
from app.utils import utils
# authentication dependency
# router = new_router(depend... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/models/schema.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:13.613806 | import warnings
from enum import Enum
from typing import Any, List, Optional, Union
import pydantic
from pydantic import BaseModel
from app.config import config
# 忽略 Pydantic 的特定警告
warnings.filterwarnings(
"ignore",
category=UserWarning,
message="Field name.*shadows an attribute in parent.*",
)
class V... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/models/const.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:13.616065 | PUNCTUATIONS = [
"?",
",",
".",
"、",
";",
":",
"!",
"…",
"？",
"，",
"。",
"、",
"；",
"：",
"！",
"...",
]
TASK_STATE_FAILED = -1
TASK_STATE_COMPLETE = 1
TASK_STATE_PROCESSING = 4
FILE_TYPE_VIDEOS = ["mp4", "mov", "mkv", "webm"]
FILE_TYPE_IMAGES = ["jpg", "jpe... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/controllers/v1/video.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:13.617084 | import glob
import os
import pathlib
import shutil
from typing import Union
from fastapi import BackgroundTasks, Depends, Path, Request, UploadFile
from fastapi.params import File
from fastapi.responses import FileResponse, StreamingResponse
from loguru import logger
from app.config import config
from app.controllers... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/services/state.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:16.149788 | import ast
from abc import ABC, abstractmethod
from app.config import config
from app.models import const
# Base class for state management
class BaseState(ABC):
@abstractmethod
def update_task(self, task_id: str, state: int, progress: int = 0, **kwargs):
pass
@abstractmethod
def get_task(se... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/services/task.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:16.151172 | import math
import os.path
import re
from os import path
from loguru import logger
from app.config import config
from app.models import const
from app.models.schema import VideoConcatMode, VideoParams
from app.services import llm, material, subtitle, video, voice, upload_post
from app.services import state as sm
from... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/services/subtitle.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:16.168880 | import json
import os.path
import re
from timeit import default_timer as timer
try:
from faster_whisper import WhisperModel
except ImportError:
WhisperModel = None
from loguru import logger
from app.config import config
from app.utils import utils
model_size = config.whisper.get("model_size", "large-v3")
dev... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/utils/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:16.169946 | import json
import locale
import os
from pathlib import Path
import threading
from typing import Any
from uuid import uuid4
import urllib3
from loguru import logger
from app.models import const
urllib3.disable_warnings()
def get_response(status: int, data: Any = None, message: str = ""):
obj = {
"statu... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/services/utils/video_effects.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:16.172926 | from moviepy import Clip, ColorClip, CompositeVideoClip, vfx
# FadeIn
def fadein_transition(clip: Clip, t: float) -> Clip:
return clip.with_effects([vfx.FadeIn(t)])
# FadeOut
def fadeout_transition(clip: Clip, t: float) -> Clip:
return clip.with_effects([vfx.FadeOut(t)])
# SlideIn
def slidein_transition(c... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/services/upload_post.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:16.173726 | """
Upload-Post API integration for cross-posting videos to TikTok and Instagram.
Docs: https://docs.upload-post.com
"""
import os
import requests
from loguru import logger
from app.config import config
class UploadPostService:
"""
Service for cross-posting videos to TikTok/Instagram via Upload-Post API.
... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/services/video.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:16.175035 | import glob
import itertools
import os
import random
import gc
import shutil
import subprocess
from typing import List
from loguru import logger
from moviepy import (
AudioFileClip,
ColorClip,
CompositeAudioClip,
CompositeVideoClip,
ImageClip,
TextClip,
VideoFileClip,
afx,
)
from moviepy... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/services/voice.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:16.209698 | import asyncio
import inspect
import math
import os
import re
from datetime import datetime
from typing import Union
from xml.sax.saxutils import unescape
import edge_tts
import requests
from edge_tts import SubMaker, submaker
from loguru import logger
from moviepy.video.tools import subtitles
from moviepy.audio.io.Au... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | test/services/test_task.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:17.175479 | import unittest
import os
import sys
from pathlib import Path
# add project root to python path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
from app.services import task as tm
from app.models.schema import MaterialInfo, VideoParams
resources_dir = os.path.join(os.path.dirname(os.path.dirname(__file_... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | main.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:17.177433 | import uvicorn
from loguru import logger
from app.config import config
if __name__ == "__main__":
logger.info(
"start server, docs: http://127.0.0.1:" + str(config.listen_port) + "/docs"
)
uvicorn.run(
app="app.asgi:app",
host=config.listen_host,
port=config.listen_port,
... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | test/services/test_video.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:17.177984 |
import unittest
import os
import sys
from pathlib import Path
from moviepy import (
VideoFileClip,
)
# add project root to python path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
from app.models.schema import MaterialInfo
from app.services import video as vd
from app.utils import utils
resources_... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | test/services/test_voice.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:17.210750 | import asyncio
import unittest
import os
import sys
import tempfile
from pathlib import Path
from unittest.mock import patch
# add project root to python path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
from app.utils import utils
from app.services import voice as vs
from app.services import task as ... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | webui/Main.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:17.944932 | import os
import platform
import sys
from uuid import uuid4
import streamlit as st
from loguru import logger
# Add the root directory of the project to the system path to allow importing modules from the project
root_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
if root_dir not in sys.path:
s... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/services/llm.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:22.336440 | import json
import logging
import re
import requests
from typing import List
import g4f
from loguru import logger
from openai import AzureOpenAI, OpenAI
from openai.types.chat import ChatCompletion
from app.config import config
_max_retries = 5
_DEFAULT_GEMINI_MODEL = "gemini-2.5-flash"
_DEPRECATED_GEMINI_MODELS = {... |
harry0703/MoneyPrinterTurbo | https://github.com/harry0703/MoneyPrinterTurbo | null | null | null | null | 56,679 | null | null | mit | null | null | null | null | null | null | null | app/services/material.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:22.347785 | import os
import random
import threading
from typing import List
from urllib.parse import urlencode
import requests
from loguru import logger
from moviepy.video.io.VideoFileClip import VideoFileClip
from app.config import config
from app.models.schema import MaterialInfo, VideoAspect, VideoConcatMode
from app.utils i... |
ageitgey/face_recognition | https://github.com/ageitgey/face_recognition | null | null | null | null | 56,369 | null | null | mit | null | null | null | null | null | null | null | examples/blink_detection.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:24.572845 | #!/usr/bin/env python3
# This is a demo of detecting eye status from the users camera. If the users eyes are closed for EYES_CLOSED seconds, the system will start printing out "EYES CLOSED"
# to the terminal until the user presses and holds the spacebar to acknowledge
# this demo must be run with sudo privileges for... |
ageitgey/face_recognition | https://github.com/ageitgey/face_recognition | null | null | null | null | 56,369 | null | null | mit | null | null | null | null | null | null | null | examples/benchmark.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:24.574564 | import timeit
# Note: This example is only tested with Python 3 (not Python 2)
# This is a very simple benchmark to give you an idea of how fast each step of face recognition will run on your system.
# Notice that face detection gets very slow at large image sizes. So you might consider running face detection on a
# ... |
ageitgey/face_recognition | https://github.com/ageitgey/face_recognition | null | null | null | null | 56,369 | null | null | mit | null | null | null | null | null | null | null | examples/face_distance.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:24.575877 | import face_recognition
# Often instead of just checking if two faces match or not (True or False), it's helpful to see how similar they are.
# You can do that by using the face_distance function.
# The model was trained in a way that faces with a distance of 0.6 or less should be a match. But if you want to
# be mor... |
ageitgey/face_recognition | https://github.com/ageitgey/face_recognition | null | null | null | null | 56,369 | null | null | mit | null | null | null | null | null | null | null | examples/face_recognition_svm.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:24.577650 | # Train multiple images per person
# Find and recognize faces in an image using a SVC with scikit-learn
"""
Structure:
<test_image>.jpg
<train_dir>/
<person_1>/
<person_1_face-1>.jpg
<person_1_face-2>.jpg
.
.
<p... |
ageitgey/face_recognition | https://github.com/ageitgey/face_recognition | null | null | null | null | 56,369 | null | null | mit | null | null | null | null | null | null | null | examples/face_recognition_knn.py | null | null | null | null | null | null | Python | 2026-05-04T02:18:24.578996 | """
This is an example of using the k-nearest-neighbors (KNN) algorithm for face recognition.
When should I use this example?
This example is useful when you wish to recognize a large set of known people,
and make a prediction for an unknown person in a feasible computation time.
Algorithm Description:
The knn classi... |
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