36 lines
1.0 KiB
Python
36 lines
1.0 KiB
Python
from typing import List, Union
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from sglang.srt.models.clip import CLIPModel
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from sglang.srt.multimodal.processors.base_processor import (
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BaseMultimodalProcessor,
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MultimodalSpecialTokens,
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)
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class ClipImageProcessor(BaseMultimodalProcessor):
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models = [CLIPModel]
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def __init__(self, hf_config, server_args, _processor, *args, **kwargs):
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super().__init__(hf_config, server_args, _processor, *args, **kwargs)
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self.mm_tokens = MultimodalSpecialTokens(image_token="<image>").build(
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_processor
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)
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async def process_mm_data_async(
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self, image_data: List[Union[str, bytes]], input_text, *args, **kwargs
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):
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base_output = self.load_mm_data(
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prompt=input_text,
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multimodal_tokens=self.mm_tokens,
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image_data=image_data,
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)
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mm_items, input_ids, _ = self.process_and_combine_mm_data(
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base_output, self.mm_tokens
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)
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return {
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"input_ids": input_ids.tolist(),
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"mm_items": mm_items,
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}
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