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import streamlit as st | |
from transformers import T5ForConditionalGeneration, T5Tokenizer | |
from fill_in_summary import FillInSummary | |
from paraphrase import PegasusParaphraser | |
import question_gen as q | |
default_text = "Apple was founded as Apple Computer Company on April 1, 1976, by Steve Jobs, Steve Wozniak and Ronald " \ | |
"Wayne to develop and sell Wozniak's Apple I personal computer. It was incorporated by Jobs and " \ | |
"Wozniak as Apple Computer, Inc. in 1977 and the company's next computer, the Apple II became a best " \ | |
"seller. Apple went public in 1980, to instant financial success. The company went onto develop new " \ | |
"computers featuring innovative graphical user interfaces, including the original Macintosh, " \ | |
"announced in a critically acclaimed advertisement, '1984', directed by Ridley Scott. By 1985, " \ | |
"the high cost of its products and power struggles between executives caused problems. Wozniak stepped " \ | |
"back from Apple amicably, while Jobs resigned to found NeXT, taking some Apple employees with him. " | |
default_text2 = "The board of directors instructed Sculley to contain Jobs and his ability to launch expensive forays " \ | |
"into untested products " | |
st.set_page_config(layout="centered") | |
st.title('Question Generator by Eddevs') | |
st.write('Please select the task you want to do.') | |
select = st.selectbox('Type', ['Question Generator', 'Paraphrasing', 'Summarization', 'Fill in the blank']) | |
if select == "Question Generator": | |
with st.form("question_gen"): | |
left_column, right_column = st.columns(2) | |
num_seq = left_column.slider('Question Count', 0, 10, 3) | |
beams = right_column.slider('Beams', 0, 10, 5) | |
max_length = st.slider('Max Length', 0, 1024, 300) | |
text_input = st.text_area("Input Text", value=default_text) | |
submitted = st.form_submit_button("Generate") | |
if submitted: | |
with st.spinner('Wait for it...'): | |
question_model = T5ForConditionalGeneration.from_pretrained('ramsrigouthamg/t5_squad_v1') | |
question_tokenizer = T5Tokenizer.from_pretrained('ramsrigouthamg/t5_squad_v1') | |
result = q.get_question(text_input, "", question_model, question_tokenizer, num_seq, beams, max_length) | |
st.write(result) | |
elif select == "Summarization": | |
with st.form("summarization"): | |
text_input = st.text_area("Input Text", value=default_text) | |
submitted = st.form_submit_button("Generate") | |
if submitted: | |
with st.spinner('Wait for it...'): | |
result = FillInSummary().summarize(text_input) | |
st.write(text_input) | |
elif select == "Fill in the blank": | |
with st.form("fill_in_the_blank"): | |
text_input = st.text_area("Input Text", value=default_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) | |
elif select == "Paraphrasing": | |
with st.form("paraphrasing"): | |
left_column, right_column = st.columns(2) | |
count = left_column.slider('Count', 0, 10, 3) | |
temperature = right_column.slider('Temperature', 0.0, 10.0, 1.5) | |
text_input = st.text_area("Input Text", value=default_text2) | |
submitted = st.form_submit_button("Generate") | |
if submitted: | |
with st.spinner('Wait for it...'): | |
paraphrase_model = PegasusParaphraser(num_return_sequences=count, temperature=temperature) | |
result = paraphrase_model.paraphrase(text_input) | |
st.write(result) | |