Create app.py

app.py

@@ -0,0 +1,27 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the sentiment analysis model from Hugging Face
+classifier = pipeline("sentiment-analysis")
+
+def predict_sentiment(text):
+    result = classifier(text)
+    return result[0]['label'], result[0]['score']
+
+def main():
+    st.title("Text Classification App")
+
+    # User input
+    text_input = st.text_area("Enter text:", "Type your text here.")
+
+    # Prediction
+    if st.button("Predict"):
+        if text_input:
+            sentiment, confidence = predict_sentiment(text_input)
+            st.write(f"Sentiment: {sentiment}")
+            st.write(f"Confidence: {confidence:.4f}")
+        else:
+            st.warning("Please enter some text.")
+
+if __name__ == "__main__":
+    main()