Fix pylint error

This commit is contained in:
doctorpangloss 2025-03-05 10:21:35 -08:00
parent d82261485f
commit 0deb0f3931

View File

@ -1,3 +1,4 @@
import logging
import re
from pathlib import Path
from typing import Optional
@ -24,7 +25,22 @@ Your task is to transform a given prompt into a refined and concise video descri
Focus only on the content, no filler words or descriptions on the style. Never mention things outside the video.
"""
logger = logging.getLogger(__name__)
def _log_install_cosmos():
logger.error("""
Cosmos was not installed. Install it using
pip install loguru pynvml
pip install --no-deps git+https://github.com/NVIDIA/Cosmos.git
then restart this instance.
""")
# from cosmos repository, obviously written by Claude
def clean_text(text: str) -> str:
"""Clean the text by removing prefixes, suffixes, formatting markers, and normalizing whitespace."""
# Replace all variations of newlines with a space
@ -57,7 +73,7 @@ def clean_text(text: str) -> str:
text = " ".join(text.split())
# Strip any remaining leading/trailing punctuation, whitespace, and quotes
text = text.strip(' -,*:"\'"“”')
text = text.strip(' -,*:"\'"“”') # pylint: disable=bad-str-strip-call
return text
@ -79,8 +95,12 @@ class Mistral12b(LanguageModel):
@staticmethod
def from_pretrained(ckpt_name: str, subfolder: Optional[str] = None) -> "Mistral12b":
from cosmos1.models.autoregressive.configs.base.model_config import create_text_model_config # pylint: disable=import-error
from cosmos1.models.autoregressive.model import AutoRegressiveModel # pylint: disable=import-error
try:
from cosmos1.models.autoregressive.configs.base.model_config import create_text_model_config # pylint: disable=import-error
from cosmos1.models.autoregressive.model import AutoRegressiveModel # pylint: disable=import-error
except (ImportError, ModuleNotFoundError) as exc_info:
_log_install_cosmos()
raise exc_info
checkpoint_dir = get_or_download_huggingface_repo(ckpt_name)
assert checkpoint_dir is not None, f"did not successfully download {ckpt_name}"
checkpoint_dir = Path(checkpoint_dir)
@ -120,9 +140,13 @@ class Mistral12b(LanguageModel):
dialogs = [[{"role": "user", "content": prompt}]]
from cosmos1.models.diffusion.prompt_upsampler.inference import chat_completion # pylint: disable=import-error
from cosmos1.models.autoregressive.model import AutoRegressiveModel # pylint: disable=import-error
try:
from cosmos1.models.diffusion.prompt_upsampler.inference import chat_completion # pylint: disable=import-error
from cosmos1.models.autoregressive.model import AutoRegressiveModel # pylint: disable=import-error
except (ImportError, ModuleNotFoundError) as exc_info:
_log_install_cosmos()
raise exc_info
load_models_gpu([self.model])
# noinspection PyTypeChecker