Spaces:
Sleeping
Sleeping
Multiple sentence support
Browse files- app.py +16 -3
- requirements.txt +2 -1
app.py
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@@ -1,4 +1,5 @@
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import streamlit as st
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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# Instantiate the model
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@@ -16,9 +17,21 @@ def generate_questions(txt):
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st.set_page_config(page_title='AI Quiz Generator')
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st.title('AI Quiz Generator')
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generate_button = st.button("Generate Questions")
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if generate_button:
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import streamlit as st
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import nltk
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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# Instantiate the model
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st.set_page_config(page_title='AI Quiz Generator')
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st.title('AI Quiz Generator')
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st.subtitle('It generates questions from your notes. How cool is that?')
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text_input = st.text_area(
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'Enter your text',
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value='Algae cells can be used to synthesize lipids for the production of biofuels and foods.',
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height=200
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)
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generate_button = st.button("Generate Questions")
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if generate_button:
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if text_input != '':
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sentences = nltk.sent_tokenize(text_input)
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for sentence in sentences:
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question = generate_questions(text_input)
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st.write(question)
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else:
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st.warning('Please enter some text.')
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requirements.txt
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@@ -1,2 +1,3 @@
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transformers
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torch
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transformers
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torch
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nltk
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