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Merge pull request #1294 from AAtomical/fix/path-traversal-finetune-gradio

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fix: path traversal in finetune Gradio handlers
This commit is contained in:
Yushen CHEN
2026-05-13 10:06:36 +08:00
committed by GitHub
parent 6f91022519 25dc4e8668
commit 2f53ded68e
1 changed files with 30 additions and 13 deletions
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src/f5_tts/train/finetune_gradio.py
+30 -13
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@@ -33,6 +33,22 @@ from f5_tts.infer.utils_infer import transcribe
from f5_tts.model.utils import convert_char_to_pinyin
def _safe_project_path(base: str, name: str) -> str:
"""Return the resolved absolute path of base/name, raising ValueError if name
is absolute, contains a null byte, or resolves outside base."""
if not name or os.path.isabs(name) or "\x00" in name:
raise ValueError(f"invalid project_name: {name!r}")
# Strip path separators and control characters to a plain filename component.
name = re.sub(r"[/\\]", "", name).strip()
if not name or name in (".", ".."):
raise ValueError(f"invalid project_name: {name!r}")
candidate = os.path.realpath(os.path.join(base, name))
base_real = os.path.realpath(base)
if not (candidate + os.sep).startswith(base_real + os.sep):
raise ValueError(f"project_name escapes base directory: {name!r}")
return candidate
training_process = None
system = platform.system()
python_executable = sys.executable or "python"
@@ -80,7 +96,7 @@ def save_settings(
logger,
ch_8bit_adam,
):
path_project = os.path.join(path_project_ckpts, project_name)
path_project = _safe_project_path(path_project_ckpts, project_name)
os.makedirs(path_project, exist_ok=True)
file_setting = os.path.join(path_project, "setting.json")
@@ -113,7 +129,7 @@ def save_settings(
# Load settings from a JSON file
def load_settings(project_name):
project_name = project_name.replace("_pinyin", "").replace("_char", "")
path_project = os.path.join(path_project_ckpts, project_name)
path_project = _safe_project_path(path_project_ckpts, project_name)
file_setting = os.path.join(path_project, "setting.json")
# Default settings
@@ -356,7 +372,7 @@ def start_training(
torch.cuda.empty_cache()
tts_api = None
path_project = os.path.join(path_data, dataset_name)
path_project = _safe_project_path(path_data, dataset_name)
if not os.path.isdir(path_project):
yield (
@@ -610,14 +626,15 @@ def get_list_projects():
def create_data_project(name, tokenizer_type):
name += "_" + tokenizer_type
os.makedirs(os.path.join(path_data, name), exist_ok=True)
os.makedirs(os.path.join(path_data, name, "dataset"), exist_ok=True)
project_dir = _safe_project_path(path_data, name)
os.makedirs(project_dir, exist_ok=True)
os.makedirs(os.path.join(project_dir, "dataset"), exist_ok=True)
project_list, projects_selelect = get_list_projects()
return gr.update(choices=project_list, value=name)
def transcribe_all(name_project, audio_files, language, user=False, progress=gr.Progress()):
path_project = os.path.join(path_data, name_project)
path_project = _safe_project_path(path_data, name_project)
path_dataset = os.path.join(path_project, "dataset")
path_project_wavs = os.path.join(path_project, "wavs")
file_metadata = os.path.join(path_project, "metadata.csv")
@@ -726,7 +743,7 @@ def get_correct_audio_path(
def create_metadata(name_project, ch_tokenizer, progress=gr.Progress()):
path_project = os.path.join(path_data, name_project)
path_project = _safe_project_path(path_data, name_project)
path_project_wavs = os.path.join(path_project, "wavs")
file_metadata = os.path.join(path_project, "metadata.csv")
file_raw = os.path.join(path_project, "raw.arrow")
@@ -850,7 +867,7 @@ def calculate_train(
num_warmup_updates,
finetune,
):
path_project = os.path.join(path_data, name_project)
path_project = _safe_project_path(path_data, name_project)
file_duration = os.path.join(path_project, "duration.json")
hop_length = 256
@@ -1003,7 +1020,7 @@ def vocab_extend(project_name, symbols, model_type):
return "Symbols empty!"
name_project = project_name
path_project = os.path.join(path_data, name_project)
path_project = _safe_project_path(path_data, name_project)
file_vocab_project = os.path.join(path_project, "vocab.txt")
file_vocab = os.path.join(path_data, "Emilia_ZH_EN_pinyin/vocab.txt")
@@ -1049,7 +1066,7 @@ def vocab_extend(project_name, symbols, model_type):
vocab_size_new = len(miss_symbols)
dataset_name = name_project.replace("_pinyin", "").replace("_char", "")
new_ckpt_path = os.path.join(path_project_ckpts, dataset_name)
new_ckpt_path = _safe_project_path(path_project_ckpts, dataset_name)
os.makedirs(new_ckpt_path, exist_ok=True)
# Add pretrained_ prefix to model when copying for consistency with finetune_cli.py
@@ -1063,7 +1080,7 @@ def vocab_extend(project_name, symbols, model_type):
def vocab_check(project_name, tokenizer_type):
name_project = project_name
path_project = os.path.join(path_data, name_project)
path_project = _safe_project_path(path_data, name_project)
file_metadata = os.path.join(path_project, "metadata.csv")
@@ -1110,7 +1127,7 @@ def vocab_check(project_name, tokenizer_type):
def get_random_sample_prepare(project_name):
name_project = project_name
path_project = os.path.join(path_data, name_project)
path_project = _safe_project_path(path_data, name_project)
file_arrow = os.path.join(path_project, "raw.arrow")
if not os.path.isfile(file_arrow):
return "", None
@@ -1123,7 +1140,7 @@ def get_random_sample_prepare(project_name):
def get_random_sample_transcribe(project_name):
name_project = project_name
path_project = os.path.join(path_data, name_project)
path_project = _safe_project_path(path_data, name_project)
file_metadata = os.path.join(path_project, "metadata.csv")
if not os.path.isfile(file_metadata):
return "", None