app.py

import streamlit as st
from sentence_transformers import SentenceTransformer, util

model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')

secret_word = "nose"
secred_embedding = model.encode(secret_word)

if 'words' not in st.session_state:
    st.session_state['words'] = []

st.write('Try to guess a secret word by semantic similarity')

word = st.text_input("Input a word")

if st.button("Guess"):
    word_embedding = model.encode(word)
    similarity = util.pytorch_cos_sim(secred_embedding, word_embedding).cpu().numpy()[0][0]
    st.session_state['words'].append((word, similarity))
    words = st.session_state['words']
    st.write(words)