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Add text classification functionality using Hugging Face model
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.DS_Store
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Binary files a/.DS_Store and b/.DS_Store differ
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app.py
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import streamlit as st
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st.title('My first app')
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x = st.slider('Select a value')
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st.write(x, 'squared is', x * x)
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import streamlit as st
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from transformers import pipeline
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st.title('My first app')
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x = st.slider('Select a value')
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st.write(x, 'squared is', x * x)
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classifier = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")
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# Example input text
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input_text = "I love using Hugging Face models!"
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# Get the classification result
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result = classifier(input_text)
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print(result)
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