testing padding impact (just for debug - will be removed later)

app.py

@@ -43,7 +43,7 @@ index = load_index()
 
 
 def predict(text: str = sample_text, top_k: int=3):
-    text = text + "".join(['[PAD]' * 252])
+    text = text + "".join(['[PAD]'] * 252)
     index_data, faiss_index = index
     # takes only the [CLS] embedding (for now)
     query = model(text, return_tensors='pt')[0][0].numpy().reshape(1, -1)