Add application file

app.py

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+# Import library yang dibutuhkan
+import streamlit as st
+from transformers import pipeline
+
+# Buat title pada web apps
+st.title("Sentiment Analysis App")
+st.markdown("You can input 8 different language: arabic, englisg, french, german, hindi, italian, portuguese, and spanish")
+
+# Buat text input dari user
+text = st.text_input("Enter text here", "I like langing academy course")
+
+# Buat variabel pipeline yang berisi model
+pipeline = pipeline(task='text-classification', model='cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual')
+
+# Buat button predict
+if st.button("Predict"):
+    result = pipeline(text)[0] # Menyimpan nilai predict pada variabel result
+    sentiment = result['label'] # Menyimpan nilai label pada variabel sentiment
+    score = result['score'] # Menyimpan nilai confidence score pada variabel score
+    st.write(f"Sentiment: {sentiment}")
+    # Jika score ada nilainya maka tampilkan scorenya
+    if score is not None:
+        st.write(f"Score: {score}")