Update app.py

app.py

@@ -9,7 +9,7 @@ model = AutoModelForSequenceClassification.from_pretrained("OatNapat/finetuned_y
 nlp = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
 
 st.title("Sentiment Analysis App")
-user_input = st.text_input("Enter a sentence for sentiment analysis:")
+user_input = st.text_input("ป้อนประโยคเพื่อวิเคราะห์ความรู้สึก:")
 if user_input:
     result = nlp(user_input)
     sentiment_label = result[0]["label"]
@@ -27,6 +27,6 @@ if user_input:
     # Get the explanation for the sentiment label
     sentiment_explanation = sentiment_explanations.get(sentiment_label, "Unknown")
 
-    st.write(f"Sentiment: {sentiment_label} ({sentiment_explanation})")
+    st.write(f"Sentiment: {sentiment_explanation}")
     st.write(f"Confidence: {sentiment_score:.4f}")