Add application file

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+
+from transformers import pipeline
+
+classifier = pipeline("text-classification", model="matthewburke/korean_sentiment")
+
+def predict(text):
+  result = classifier(text, return_all_scores=True)[0]
+  positive_score = result[1]['score']
+  negative_score = result[0]['score']
+  return {"positive": positive_score, "negative": negative_score}
+
+iface = gr.Interface(
+  fn=predict, 
+  inputs='text',
+  outputs='label',
+  examples=[["영화가 재밌었다"]]
+)
+
+iface.launch()
+