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import streamlit as st

import os

import re

import json

import torch

import helper

import numpy as np

from torch import nn

from torch.nn import functional as F

import pickle

import model

net = model.net

vocab = model.vocab

premise = "Saya lapar sekali."

hypothesis = "Saya tidak tidur."

st.set_page_config(layout="wide")

st.title('Natural Language Inference for Bahasa Indonesia')

st.text('Analyzing the logical relationship between premise and hypothesis.')

premise = st.text_input('Premise (end sentence with .)')

hypothesis = st.text_input('Hypothesis (end sentence with .)')

if st.button('Predict'):

if(premise != "" and hypothesis != ""):

st.subheader('Output')

result = model.predict_inli(net, vocab, premise.split(), hypothesis.split())

st.write(result)

st.sidebar.header('About')

st.sidebar.write('Project on NLP task known as Natural Language Inference (NLI). NLI involves determining the relationship between pairs of sentences, typically categorized as entailment, contradiction, or neutral.')

st.sidebar.header('Source')

st.sidebar.markdown("+ [Github](https://github.com/chukbert/naturalLanguageInference)")