Spaces:
Sleeping
Sleeping
File size: 846 Bytes
719ed90 ae0811f 719ed90 ae0811f 719ed90 ae0811f 9eab4da ae0811f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
from sentence_transformers import SentenceTransformer, util
from PIL import Image
import gradio as gr
import requests
def get_image_embedding(image):
return {"embedding": "img_emb.tolist()")}
def get_text_embedding(text):
multilingual_text_model = SentenceTransformer('Alibaba-NLP/gte-Qwen2-1.5B-instruct')
text_emb = multilingual_text_model.encode(text)
print(text_emb)
print(type(text_emb))
print(text_emb.ndim)
return {"embedding": text_emb.tolist()}
image_embedding = gr.Interface(fn=get_image_embedding, inputs=gr.Image(type="pil"), outputs=gr.JSON(), title="Image Embedding")
text_embedding = gr.Interface(fn=get_text_embedding, inputs=gr.Textbox(), outputs=gr.JSON(), title="Text Embedding")
space = gr.TabbedInterface([image_embedding, text_embedding], ["Image Embedding", "Text Embedding"])
space.launch() |