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import streamlit as st
from transformers import pipeline, PegasusForConditionalGeneration, PegasusTokenizer
from fill_in_summary import FillInSummary
from paraphrase import PegasusParaphraser
def paraphrase(text):
return text
st.title('Question Generator by Eddevs')
select = st.selectbox('Type', ['Question Generator', 'Paraphrasing', 'Summarization', 'Fill in the blank'])
if select == "Summarization":
with st.form("summarization"):
# left_column, right_column = st.columns(2)
# left_column.selectbox('Type', ['Question Generator', 'Paraphrasing'])
#st.selectbox('Model', ['T5', 'GPT Neo-X'])
text_input = st.text_area("Input Text")
submitted = st.form_submit_button("Generate")
if submitted:
with st.spinner('Wait for it...'):
result = FillInSummary().summarize(text_input)
st.write(text_input)
if select == "Fill in the blank":
with st.form("summarization"):
text_input = st.text_area("Input Text")
submitted = st.form_submit_button("Generate")
if submitted:
with st.spinner('Wait for it...'):
fill = FillInSummary()
result = fill.summarize(text_input)
result = fill.blank_ne_out(result)
st.write(result)
if select == "Paraphrasing":
with st.form("paraphrasing"):
# st.selectbox('Model', ['T5', 'GPT Neo-X'])
text_input = st.text_area("Input Text")
submitted = st.form_submit_button("Generate")
if submitted:
with st.spinner('Wait for it...'):
paraphrase_model = PegasusParaphraser()
result = paraphrase_model.paraphrase(text_input)
st.write(result)
#if st.button('Generate'):
# st.write(input)
#st.success("We have generated 105 Questions for you")
# st.snow()
##else:
##nothing here
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