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Create app.py
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app.py
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import streamlit as st
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from transformers import pipeline
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# Page setup
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st.set_page_config(page_title="😊 Sentiment Analyzer", layout="centered")
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st.title("😊 Sentiment Analyzer")
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st.markdown("Enter text below and see if it's Positive, Negative, or Neutral.")
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# Load model
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@st.cache_resource
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def load_model():
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return pipeline("sentiment-analysis")
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analyzer = load_model()
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# User input
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text = st.text_area("Enter your text here:")
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if st.button("Analyze"):
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if text.strip():
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with st.spinner("Analyzing..."):
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result = analyzer(text)[0]
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st.subheader("📌 Result:")
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st.write(f"**Label:** {result['label']} | **Confidence:** {result['score']:.2f}")
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else:
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st.warning("⚠️ Please enter some text first!")
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