change some log

app.py

@@ -1,27 +1,20 @@
 import streamlit as st
 from transformers import pipeline
 
-# title
+# Buat title pada web apps
 st.title("Sentiment Analysis App")
 st.markdown("You can input 8 different language: arabic, english, french, german, hindi, italian,  portuguese, spanish")
 
-# text input
+# Buat text input dari user
 text = st.text_input("Enter text here", "I love you")
 
 # Model initiate
-model = "cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual"
-
-# Sentiment analysis function
-def analyze_sentiment(text, model):
-    if model == "cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual":
-        classifier = pipeline("sentiment-analysis", model=model)
-        result = classifier(text)[0]
-        sentiment = result['label']
-        score = result['score']
-    return sentiment, score
+pipeline = pipeline(task='text-classification', model='cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual')
 
 if st.button("Analyze"):
-    sentiment, score = analyze_sentiment(text, model)
+    result = pipeline(text)
+    sentiment = result['label']
+    score = result['score']
     st.write(f"Sentiment: {sentiment}")
     if score is not None:
-        st.write(f"Score: {score}")
+        st.write(f"Score: {score}")

app_.py

@@ -0,0 +1,17 @@
+import streamlit as st
+
+# Sentiment analysis function
+def analyze_sentiment(text, model):
+    if model == "cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual":
+        classifier = pipeline("sentiment-analysis", model=model)
+        result = classifier(text)[0]
+        sentiment = result['label']
+        score = result['score']
+    return sentiment, score
+
+# Buat button analyze yang melaukan perintah sebagai berikut
+if st.button("Analyze"):
+    sentiment, score = analyze_sentiment(text, model)
+    st.write(f"Sentiment: {sentiment}")
+    if score is not None:
+        st.write(f"Score: {score}")