app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline("feature-extraction", model="WhereIsAI/UAE-Large-V1")

def similarity(text):
    title_embedding = pipeline(text)
    term_embedding = pipeline('multivitamin for men')
    semantic_score = cosine_similarity(title_embedding.flatten(), term_embedding.flatten()) * 100
    return str(format(semantic_score,'.2f'))

gradio_app = gr.Interface(
    predict,
    inputs='text',
    outputs='text',
    title="Yes Or No?",
)

if __name__ == "__main__":
    gradio_app.launch()