update interface

app.py

@@ -30,13 +30,14 @@ nlp.vocab.add_flag(lambda s: s.lower() in spacy.lang.en.stop_words.STOP_WORDS, s
 
 def preprocess_text(text):
     """Preprocess the input text using SpaCy and return word indices."""
-    doc = nlp.pipe(text, n_process=1)
+    docs = nlp.pipe([text], n_process=1)
     word_seq = []
-    for token in doc:
-        if token.pos_ != "PUNCT":
-            if token.text not in word_dict:
-                word_dict[token.text] = len(word_dict) + 1  # Increment index
-            word_seq.append(word_dict[token.text])
+    for doc in docs:
+        for token in doc:
+            if token.pos_ != "PUNCT":
+                if token.text not in word_dict:
+                    word_dict[token.text] = len(word_dict) + 1  # Increment index.
+                word_seq.append(word_dict[token.text])
     return word_seq
 
 def classify_question(text):
@@ -60,7 +61,8 @@ def classify_question(text):
         "Model 2 Probability": float(pred2),
         "Model 3 Probability": float(pred3),
         "Model 4 Probability": float(pred4),
-        "Average Probability": float(avg_pred)
+        "Average Probability": float(avg_pred),
+        "Sequence": seq
     }
 
     return label, probs