import streamlit as st
from sentence_transformers import SentenceTransformer, util

model = SentenceTransformer("all-MiniLM-L6-v2")

st.title("Semantic Analyzer")

sentence1 = st.text_input("Enter first sentence")
sentence2 = st.text_input("Enter second sentence")

if st.button("Analyze"):
    embedding1 = model.encode(sentence1, convert_to_tensor=True)
    embedding2 = model.encode(sentence2, convert_to_tensor=True)

    similarity = util.cos_sim(embedding1, embedding2)

    score = float(similarity[0][0])

    st.write("Similarity Score:", round(score, 2))