app.py

import streamlit as st
from transformers import pipeline

model = pipeline("question-answering", model="/home/user/app/MendoBERT/", tokenizer="indolem/indobert-base-uncased")
basemodel = pipeline("question-answering", model="/home/user/app/IndoLEM/", tokenizer="indolem/indobert-base-uncased")

st.title(':blue[MendoBERT] - Question Answering')

if 'context' not in st.session_state:
    st.session_state['options'] = ""

if 'question' not in st.session_state:
    st.session_state['options'] = ""

def button1_callback():
    st.session_state['context'] = "Konteks"
    st.session_state['question'] = "Pertanyaan"

def button2_callback():
    st.session_state['context'] = "Konteks"
    st.session_state['question'] = "Pertanyaan"



st.caption('_Examples_')
st.button('Kami menyimpulkan bahwa polimorfisme \@GENE\$ dan AGT tidak berkontribusi pada kerentanan genetik terhadap \@DISEASE\$ dan retinopati pada populasi Kaukasia Mediterania.', use_container_width=True, on_click = button1_callback)
st.button('Genotipe bayi PON1 RR dan \@GENE\$ CC dikaitkan dengan \@DISEASE\$ dalam populasi penelitian kami, yang menunjukkan kemungkinan peran variabilitas paraoxonase manusia dalam etiologi kelahiran prematur.', use_container_width=True, on_click = button2_callback)

context_placeholder = st.empty()
with context_placeholder:
    context = st.text_area('Enter context: ', key = 'context')

question_placeholder = st.empty()
with question_placeholder
    question = st.text_area('Enter question: ', key = 'question')
    
if text:
    st.subheader('MendoBERT')
    st.write(model(context=context, question=question))
    st.write("\n")
    st.subheader('IndoLEM')
    st.write(basemodel(context=context, question=question))