File size: 512 Bytes
1dad570 566338a 1dad570 773849a 1dad570 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
from sentence_transformers.util import cos_sim
import gradio as gr
module_url = "https://tfhub.dev/google/universal-sentence-encoder/4"
import tensorflow_hub as hub
model = hub.load(module_url)
def compute_similarity_score(name1, name2):
vec1 = model([name1]).numpy().tolist()[0]
vec2 = model([name2]).numpy().tolist()[0]
print(vec1)
return cos_sim(vec1, vec2).numpy().tolist()[0][0]
iface = gr.Interface(fn=compute_similarity_score, inputs=["text","text"], outputs="text")
iface.launch() |