31 lines
1 KiB
Python
31 lines
1 KiB
Python
from backends.exllamav2.vision import get_image_embedding
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from common import model
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from loguru import logger
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from pydantic import BaseModel, Field
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from typing import List
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from common.optional_dependencies import dependencies
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if dependencies.exllamav2:
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from exllamav2 import ExLlamaV2VisionTower
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class MultimodalEmbeddingWrapper(BaseModel):
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"""Common multimodal embedding wrapper"""
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type: str = None
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content: list = Field(default_factory=list)
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text_alias: List[str] = Field(default_factory=list)
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async def add(self, url: str):
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# Determine the type of vision embedding to use
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if not self.type:
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if isinstance(model.container.vision_model, ExLlamaV2VisionTower):
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self.type = "ExLlamaV2MMEmbedding"
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if self.type == "ExLlamaV2MMEmbedding":
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embedding = await get_image_embedding(url)
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self.content.append(embedding)
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self.text_alias.append(embedding.text_alias)
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else:
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logger.error("No valid vision model to create embedding")
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