import lancedb
from lancedb.embeddings import get_registry
from lancedb.pydantic import LanceModel, Vector
db = lancedb.connect("/tmp/imagebind-db")
func = get_registry().get("imagebind").create()
class ImageBindModel(LanceModel):
text: str
image_uri: str = func.SourceField()
audio_path: str
vector: Vector(func.ndims()) = func.VectorField()
text_list = ["A dog.", "A car", "A bird"]
image_paths = [
"./assets/dog_image.jpg",
"./assets/car_image.jpg",
"./assets/bird_image.jpg",
]
audio_paths = [
"./assets/dog_audio.wav",
"./assets/car_audio.wav",
"./assets/bird_audio.wav",
]
inputs = [
{"text": a, "audio_path": b, "image_uri": c}
for a, b, c in zip(text_list, audio_paths, image_paths)
]
table = db.create_table("img_bind", schema=ImageBindModel)
table.add(inputs)