Skip to content

Unpin, clean, split dependencies #429

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
akx wants to merge 3 commits into
base: master
Choose a base branch
from
Open

Unpin, clean, split dependencies #429

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
50c6d6c
Unpin numpy version
akx Jan 5, 2026
545c6d6
Drop omegaconf dependency
akx Jan 5, 2026
b1e535c
Split dependencies for Gradio examples and Japanese processing
akx Jan 5, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 9 additions & 4 deletions pyproject.toml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ authors = [
{name = "resemble-ai", email = "engineering@resemble.ai"}
]
dependencies = [
"numpy>=1.24.0,<1.26.0",
"numpy>=1.24.0,<2.4",
"librosa==0.11.0",
"s3tokenizer",
"torch==2.6.0",
Expand All @@ -20,16 +20,21 @@ dependencies = [
"conformer==0.3.2",
"safetensors==0.5.3",
"spacy-pkuseg",
"pykakasi==2.3.0",
"gradio==5.44.1",
"pyloudnorm",
"omegaconf"
]

[project.urls]
Homepage = "https://github.com/resemble-ai/chatterbox"
Repository = "https://github.com/resemble-ai/chatterbox"

[project.optional-dependencies]
examples = [
"gradio==5.44.1",
]
jp = [
"pykakasi==2.3.0",
]

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
Expand Down
27 changes: 14 additions & 13 deletions src/chatterbox/models/s3gen/flow.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,8 +21,6 @@
from torch.nn import functional as F
from .utils.mask import make_pad_mask
from .configs import CFM_PARAMS
from omegaconf import DictConfig


logger = logging.getLogger(__name__)

Expand All @@ -40,6 +38,18 @@ def _repeat_batch_dim(tnsr, B, ndim):
return tnsr


DEFAULT_DECODER_CONF = {
'in_channels': 240,
'out_channel': 80,
'spk_emb_dim': 80,
'n_spks': 1,
'cfm_params': {'sigma_min': 1e-06, 'solver': 'euler', 't_scheduler': 'cosine', 'training_cfg_rate': 0.2, 'inference_cfg_rate': 0.7, 'reg_loss_type': 'l1'},
'decoder_params': {'channels': [256, 256], 'dropout': 0.0, 'attention_head_dim': 64, 'n_blocks': 4, 'num_mid_blocks': 12, 'num_heads': 8, 'act_fn': 'gelu'},
}

DEFAULT_MEL_FEAT_CONF = {'n_fft': 1024, 'num_mels': 80, 'sampling_rate': 22050, 'hop_size': 256, 'win_size': 1024, 'fmin': 0, 'fmax': 8000}


class CausalMaskedDiffWithXvec(torch.nn.Module):
def __init__(self,
input_size: int = 512,
Expand All @@ -53,17 +63,8 @@ def __init__(self,
pre_lookahead_len: int = 3,
encoder: torch.nn.Module = None,
decoder: torch.nn.Module = None,
decoder_conf: Dict = {'in_channels': 240, 'out_channel': 80, 'spk_emb_dim': 80, 'n_spks': 1,
'cfm_params': DictConfig(
{'sigma_min': 1e-06, 'solver': 'euler', 't_scheduler': 'cosine',
'training_cfg_rate': 0.2, 'inference_cfg_rate': 0.7,
'reg_loss_type': 'l1'}),
'decoder_params': {'channels': [256, 256], 'dropout': 0.0,
'attention_head_dim': 64,
'n_blocks': 4, 'num_mid_blocks': 12, 'num_heads': 8,
'act_fn': 'gelu'}},
mel_feat_conf: Dict = {'n_fft': 1024, 'num_mels': 80, 'sampling_rate': 22050,
'hop_size': 256, 'win_size': 1024, 'fmin': 0, 'fmax': 8000}):
decoder_conf: Dict = DEFAULT_DECODER_CONF,
mel_feat_conf: Dict = DEFAULT_MEL_FEAT_CONF):
super().__init__()
self.input_size = input_size
self.output_size = output_size
Expand Down