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import streamlit as st | |
from transformers import pipeline | |
# Buat title pada web apps | |
st.title("Sentiment Analysis App") | |
st.markdown("You can input 8 different language: arabic, english, french, german, hindi, italian, portuguese, spanish") | |
# Buat text input dari user | |
text = st.text_input("Enter text here", "I love you") | |
# Model initiate | |
pipeline = pipeline(task='text-classification', model='cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual') | |
if st.button("Analyze"): | |
result = pipeline(text) | |
sentiment = result['label'] | |
score = result['score'] | |
st.write(f"Sentiment: {sentiment}") | |
if score is not None: | |
st.write(f"Score: {score}") | |