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from transformers import pipeline
unmasker = pipeline('fill-mask', model='distilbert-base-uncased')
unmasker("Hello I'm a [MASK] model.")
import streamlit as st
from transformers import pipeline
def summarize_text(text):
unmasker = pipeline('fill-mask', model='distilbert-base-uncased')
unmasker = summarizer(text,do_sample=True)[0]['summary_text']
return unmasker
def main():
st.title("Text Summarization App")
st.write("Enter your text below:")
user_input = st.text_area("Input Text Here")
if st.button("Summarize"):
summary = summarize_text(user_input)
st.write("Summary:")
st.write(summary)
if __name__ == "__main__":
main()