Update app.py

app.py

@@ -5,19 +5,24 @@ model_path = "citizenlab/twitter-xlm-roberta-base-sentiment-finetunned"
 
 st.set_page_config(page_title="Sentiment Analysis App")
 
-
 sentiment_classifier = pipeline("text-classification", model=model_path, tokenizer=model_path)
 
 st.title("Sentiment Analysis App")
 
-user_input = st.text_area("Enter a message:")
+user_input = st.text_area("Enter a message:", height=150)
 
 if st.button("Analyze Sentiment"):
     if user_input:
         # Perform sentiment analysis
-        results = sentiment_classifier(user_input)
-        sentiment_label = results[0]["label"]
-        sentiment_score = results[0]["score"]
-
-        st.write(f"Sentiment: {sentiment_label}")
-        st.write(f"Confidence Score: {sentiment_score:.2f}")
+        st.markdown("---")
+        with st.spinner('Analyzing...'):
+            results = sentiment_classifier(user_input)
+            sentiment_label = results[0]["label"]
+            sentiment_score = results[0]["score"]
+
+        st.success("Analysis Complete!")
+        st.write("")
+
+        st.subheader("Sentiment Analysis Result")
+        st.write(f"**Sentiment:** {sentiment_label}")
+        st.write(f"**Confidence Score:** {sentiment_score:.2f}")