mirror of
https://github.com/oobabooga/text-generation-webui.git
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53 lines
2.4 KiB
Python
53 lines
2.4 KiB
Python
import logging
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import traceback
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from importlib import import_module
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from pathlib import Path
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from typing import Tuple
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from extensions.multimodal.abstract_pipeline import AbstractMultimodalPipeline
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from modules import shared
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def _get_available_pipeline_modules():
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pipeline_path = Path(__file__).parent / 'pipelines'
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modules = [p for p in pipeline_path.iterdir() if p.is_dir()]
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return [m.name for m in modules if (m / 'pipelines.py').exists()]
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def load_pipeline(params: dict) -> Tuple[AbstractMultimodalPipeline, str]:
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pipeline_modules = {}
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available_pipeline_modules = _get_available_pipeline_modules()
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for name in available_pipeline_modules:
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try:
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pipeline_modules[name] = import_module(f'extensions.multimodal.pipelines.{name}.pipelines')
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except:
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logging.warning(f'Failed to get multimodal pipelines from {name}')
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logging.warning(traceback.format_exc())
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if shared.args.multimodal_pipeline is not None:
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for k in pipeline_modules:
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if hasattr(pipeline_modules[k], 'get_pipeline'):
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pipeline = getattr(pipeline_modules[k], 'get_pipeline')(shared.args.multimodal_pipeline, params)
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if pipeline is not None:
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return (pipeline, k)
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else:
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model_name = shared.args.model.lower()
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for k in pipeline_modules:
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if hasattr(pipeline_modules[k], 'get_pipeline_from_model_name'):
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pipeline = getattr(pipeline_modules[k], 'get_pipeline_from_model_name')(model_name, params)
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if pipeline is not None:
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return (pipeline, k)
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available = []
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for k in pipeline_modules:
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if hasattr(pipeline_modules[k], 'available_pipelines'):
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pipelines = getattr(pipeline_modules[k], 'available_pipelines')
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available += pipelines
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if shared.args.multimodal_pipeline is not None:
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log = f'Multimodal - ERROR: Failed to load multimodal pipeline "{shared.args.multimodal_pipeline}", available pipelines are: {available}.'
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else:
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log = f'Multimodal - ERROR: Failed to determine multimodal pipeline for model {shared.args.model}, please select one manually using --multimodal-pipeline [PIPELINE]. Available pipelines are: {available}.'
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logging.critical(f'{log} Please specify a correct pipeline, or disable the extension')
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raise RuntimeError(f'{log} Please specify a correct pipeline, or disable the extension')
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