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# coding=utf-8
# CoT generate step-by-step
from third_party.VideoLLaMA2.videollama2 import model_init, mm_infer
import logging
class Step0:
def __init__(self, model_path, modal_type='v'):
self.log = logging.getLogger(self.__class__.__name__)
self.log.setLevel(logging.INFO)
self.model, self.processor, self.tokenizer = model_init(model_path)
self.modal_type=modal_type
if modal_type == "a":
self.model.model.vision_tower = None
elif modal_type == "v":
self.model.model.audio_tower = None
elif modal_type == "av":
pass
else:
raise NotImplementedError
self.modal = 'audio' if modal_type == "a" else "video"
self.question = f"Generate high-quality audio from video step-by-step."
self.preprocess = self.processor[self.modal]
def run(self, video_path):
self.log.info("######################################################################################################")
self.log.info("Generate high-quality audio from video step-by-step...")
audio_video_tensor = self.preprocess(video_path, va=False)
output = mm_infer(
audio_video_tensor,
self.question,
model=self.model,
tokenizer=self.tokenizer,
modal=self.modal,
do_sample=False,
)
return output
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