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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# Load a pretrained sentiment-analysis model from Hugging Face
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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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model = load_model()
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# Streamlit UI
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st.title("🧠 Sentiment Analysis App")
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st.write("Type a sentence and find out if it’s Positive or Negative!")
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user_input = st.text_area("Enter your text here 👇")
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if st.button("Analyze Sentiment"):
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if user_input.strip():
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result = model(user_input)[0]
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st.success(f"**Label:** {result['label']} | **Score:** {result['score']:.2f}")
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else:
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st.warning("Please enter some text!")
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