Create app.py

app.py

@@ -0,0 +1,30 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the sentiment analysis model from Hugging Face
+sentiment_analysis = pipeline("sentiment-analysis")
+
+# Function to get sentiment prediction
+def predict_sentiment(text):
+    result = sentiment_analysis(text)
+    label = result[0]['label']
+    score = result[0]['score']
+    return label, score
+
+# Streamlit web app
+def main():
+    st.title("Sentiment Analysis App")
+
+    # Input text area
+    user_input = st.text_area("Enter text:", "Type or paste your text here...")
+
+    # Button to trigger sentiment prediction
+    if st.button("Predict Sentiment"):
+        # Display the result
+        sentiment_label, sentiment_score = predict_sentiment(user_input)
+        st.write(f"Sentiment: {sentiment_label}, Score: {sentiment_score:.4f}")
+
+# Run the app
+if __name__ == "__main__":
+    main()
+