diff --git a/src/predict.js b/src/predict.js
index 4452fc8..9428542 100644
--- a/src/predict.js
+++ b/src/predict.js
@@ -8,7 +8,10 @@ const classifierModelPromise = tf.loadLayersModel(MODEL_URL);
 
 // This value greatly affects RAM usage due to USE
 // Higher values will tend to yield better performance, but higher RAM usage
-const SENTENCE_EMBEDDING_BATCH_SIZE = parseInt(process.env.SENTENCE_EMBEDDING_BATCH_SIZE || 200, 10);
+const SENTENCE_EMBEDDING_BATCH_SIZE = parseInt(
+  process.env.SENTENCE_EMBEDDING_BATCH_SIZE || 200,
+  10,
+);
 
 const predict = async (sentences) => {
   const useModel = await usePromise;
diff --git a/src/server.js b/src/server.js
index a896fb5..4ae36c6 100644
--- a/src/server.js
+++ b/src/server.js
@@ -15,7 +15,7 @@ app.use(express.json());
 const PREDICTION_CONCURRENCY = parseInt(process.env.PREDICTION_CONCURRENCY || os.cpus().length, 10);
 
 const queue = new PQueue({
-  concurrency: PREDICTION_CONCURRENCY
+  concurrency: PREDICTION_CONCURRENCY,
 });
 
 app.post('/', async (req, res) => {