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import streamlit as st | |
from transformers import pipeline | |
# Define the summarization pipeline | |
hub_model_id = "VinayakMane47/mt5-small-finetuned-amazon-en-es" | |
summarizer = pipeline("summarization", model=hub_model_id) | |
# Create the Streamlit app | |
def main(): | |
st.title("Text Summarizer") | |
text = st.text_area("Enter some text to summarize") | |
if st.button("Summarize"): | |
summary = summarizer(text, max_length=100, min_length=30, do_sample=False)[0]['summary_text'] | |
st.write(summary) | |
if __name__ == "__main__": | |
main() | |