Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load a pre-trained sentiment-analysis pipeline
+classifier = pipeline("sentiment-analysis")
+
+# Streamlit app
+st.title("Sentiment Analysis with Hugging Face Transformers")
+
+st.write("Enter text below to analyze sentiment:")
+
+# Text input
+user_input = st.text_area("Text Input", "Enter your text here...")
+
+if st.button("Analyze"):
+    # Perform sentiment analysis
+    results = classifier(user_input)
+    sentiment = results[0]['label']
+    score = results[0]['score']
+    
+    # Display results
+    st.write(f"Sentiment: {sentiment}")
+    st.write(f"Confidence Score: {score:.2f}")