Truong-Phuc Nguyen
commited on
Update AlphaEdu.py
Browse files- AlphaEdu.py +21 -30
AlphaEdu.py
CHANGED
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@@ -1,10 +1,11 @@
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import streamlit as st
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import pandas as pd
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from plms.language_model import TransformersQG
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import os
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import numpy as np
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st.set_page_config(page_icon='🧪', page_title='ViQAG for Vietnamese Education', layout='
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with open(r"./static/styles.css") as f:
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st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
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@@ -60,54 +61,44 @@ def generateQA(context, model_path = 'shnl/vit5-vinewsqa-qg-ae'):
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# =====================================================================================================
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col_1, col_2, col_3
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col_1.markdown("<h8 style='text-align: left; font-weight: normal'>Select your subject:</h8>", unsafe_allow_html=True)
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subject = col_1.selectbox(label='Select your subject:', options=filenames, label_visibility='collapsed')
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col_2.markdown("<h8 style='text-align: left; font-weight: normal'>Select your grade:</h8>", unsafe_allow_html=True)
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list_grades, df = load_grades(file_name=subject)
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grade = col_2.selectbox(label='
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col_3.markdown("<h8 style='text-align: left; font-weight: normal'>Select your chapter:</h8>", unsafe_allow_html=True)
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list_chapters, df = load_chapters(df=df, grade_name=grade)
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chapter = col_3.selectbox(label='
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lesson_names = load_lessons(df=df, grade_name=grade, chapter_name=chapter)
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lesson =
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col_5.markdown("<h8 style='text-align: left; font-weight: normal'>Paragraph:</h8>", unsafe_allow_html=True)
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total_paragraph, context_values = load_context(df=df, grade_name=grade, chapter_name=chapter, lesson_name=lesson)
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col_11.markdown("<h8 style='text-align: left; font-weight: normal'>Paragraph related:</h8>", unsafe_allow_html=True)
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paragraph = col_11.text_area(label='Paragraph related', label_visibility='collapsed', height=300, value=context_values[paragraph_idx - 1])
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col_21.markdown("<h8 style='text-align: left; font-weight: normal'>QAG modes:</h8>", unsafe_allow_html=True)
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col_21.selectbox(label='QAG model:', options=['ViT5-ViNewsQA'], label_visibility='collapsed')
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col_21.markdown("<h8 style='text-align: left; font-weight: normal'>Options:</h8>", unsafe_allow_html=True)
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btn_show_answer = col_21.toggle(label='Show answers', disabled=False)
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if btn_generate == True:
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with st.spinner(text='Generating QA pairs from the selected
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st.session_state.output = generateQA(context=
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if btn_show_answer:
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if st.session_state.output != '':
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st.markdown("<h8 style='text-align: left; font-weight: normal'>
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st.code(body=st.session_state.output, language='
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else:
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pass
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else:
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if st.session_state.output != '':
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st.markdown("<h8 style='text-align: left; font-weight: normal'>
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output_no_answer = st.session_state.output.split(' [SEP] ')[0].split(', answer: ')[0].replace('question: ', '')
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st.code(body=output_no_answer, language='
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else:
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pass
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import streamlit as st
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import pandas as pd
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from plms.language_model import TransformersQG
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import time
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import os
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import numpy as np
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st.set_page_config(page_icon='🧪', page_title='ViQAG for Vietnamese Education', layout='centered', initial_sidebar_state="collapsed")
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with open(r"./static/styles.css") as f:
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st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
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# =====================================================================================================
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col_1, col_2, col_3 = st.columns(spec=[2.5, 1.5, 6])
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subject = col_1.selectbox(label='Subject:', options=filenames, label_visibility='visible')
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list_grades, df = load_grades(file_name=subject)
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grade = col_2.selectbox(label='Grade:', options=list_grades, label_visibility='visible')
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list_chapters, df = load_chapters(df=df, grade_name=grade)
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chapter = col_3.selectbox(label='Chapter:', options=list_chapters, label_visibility='visible')
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col_11, col_21 = st.columns(spec=[8, 2])
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lesson_names = load_lessons(df=df, grade_name=grade, chapter_name=chapter)
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lesson = col_11.selectbox(label='Lesson:', options=lesson_names, label_visibility='visible')
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total_paragraph, context_values = load_context(df=df, grade_name=grade, chapter_name=chapter, lesson_name=lesson)
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paragraph_idx = col_21.selectbox(label='Paragraph:', options=list(np.arange(1, total_paragraph + 1)), label_visibility='visible')
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st.text_area(label='Paragraph content', label_visibility='visible', height=200, value=context_values[paragraph_idx - 1])
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col_13, col_23, col_33, col_43 = st.columns(spec=[0.8, 1.2, 1.2, 0.8])
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col_23.selectbox(label='QAG model:', options=['ViT5-ViNewsQA'], label_visibility='visible')
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btn_show_answer = col_33.toggle(label='Show answers', disabled=False)
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col_14, col_24, col_34, col_44, col_54 = st.columns(spec=[1, 1, 1, 1, 1])
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btn_generate = col_34.button(label='Generate', use_container_width=True)
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if btn_generate == True:
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with st.spinner(text='Generating QA pairs from the selected paragraph. Please wait ...'):
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st.session_state.output = generateQA(context=context_values)
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if btn_show_answer:
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if st.session_state.output != '':
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st.markdown("<h8 style='text-align: left; font-weight: normal'>Generated QA pairs:</h8>", unsafe_allow_html=True)
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st.code(body=st.session_state.output, language='latex')
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else:
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pass
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else:
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if st.session_state.output != '':
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st.markdown("<h8 style='text-align: left; font-weight: normal'>Generated QA pairs:</h8>", unsafe_allow_html=True)
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output_no_answer = st.session_state.output.split(' [SEP] ')[0].split(', answer: ')[0].replace('question: ', '')
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st.code(body=output_no_answer, language='latex')
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else:
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pass
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