Update app.py

app.py

@@ -10,22 +10,3 @@ nlp = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
 
 st.title("Sentiment Analysis App")
 user_input = st.text_input("ป้อนประโยคเพื่อวิเคราะห์ความรู้สึก:")
-if user_input:
-    result = nlp(user_input)
-    sentiment_label = result[0]["label"]
-    sentiment_score = result[0]["score"]
-
-    # Define explanations for sentiment labels
-    sentiment_explanations = {
-        "LABEL_0": "Very negative",
-        "LABEL_1": "Negative",
-        "LABEL_2": "Neutral",
-        "LABEL_3": "Positive",
-        "LABEL_4": "Very positive"
-    }
-
-    # Get the explanation for the sentiment label
-    sentiment_explanation = sentiment_explanations.get(sentiment_label, "Unknown")
-
-    st.write(f"Sentiment: {sentiment_explanation}")
-    st.write(f"Confidence: {sentiment_score:.4f}")