Update app.py with the prefilled text in the form
Browse files
app.py
CHANGED
@@ -2,10 +2,8 @@ import streamlit as st
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from transformers import pipeline
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st.title('Sentiment Analysis using Transformers pipeline function')
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st.write('References:')
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st.write('1. https://medium.com/@rtkilian/deploy-and-share-your-sentiment-analysis-app-using-streamlit-sharing-2ba3ca6a3ead')
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st.write('2. https://huggingface.co/learn/nlp-course/chapter1/3?fw=pt')
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form = st.form(key='sentiment-form')
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user_input = form.text_area(label = 'Enter your text', value = "I love steamlit and hugging face!")
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submit = form.form_submit_button('Submit')
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@@ -20,3 +18,10 @@ if submit:
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st.success(f'{label} sentiment (score: {score})')
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else:
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st.error(f'{label} sentiment (score: {score})')
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from transformers import pipeline
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st.title('Sentiment Analysis using Transformers pipeline function')
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# steamlit form
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form = st.form(key='sentiment-form')
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user_input = form.text_area(label = 'Enter your text', value = "I love steamlit and hugging face!")
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submit = form.form_submit_button('Submit')
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st.success(f'{label} sentiment (score: {score})')
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else:
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st.error(f'{label} sentiment (score: {score})')
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st.write('References:')
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st.write('1. https://medium.com/@rtkilian/deploy-and-share-your-sentiment-analysis-app-using-streamlit-sharing-2ba3ca6a3ead')
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st.write('2. https://huggingface.co/learn/nlp-course/chapter1/3?fw=pt')
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st.write('3. https://docs.streamlit.io/library/api-reference/widgets/st.text_input')
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