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add req, streamlit app
Browse files- app.py +15 -0
- requirements.txt +3 -0
app.py
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import streamlit as
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from transformers import pipeline
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st.title("Hugging Face Demo")
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text = st.text_input("Enter text to analyze")
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st.cache_resource
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def get_model():
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return pipeline("sentiment-analysis")
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model = get_model()
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if text:
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result = model(text)
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st.write("Sentiment: ", result[0]["label"])
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st.write("Confidence: ", result[0]["score"])
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requirements.txt
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streamlit
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transformers
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torch
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