Update app.py

app.py

@@ -12,10 +12,16 @@ model = AutoModelForSequenceClassification.from_pretrained("nlptown/bert-base-mu
 
 # Define prediction function
 def predict(texts):
-    if isinstance(texts, str):
-        texts = [texts]
+    processed_texts = []
+    for text in texts:
+        if isinstance(text, list):
+            processed_text = tokenizer.convert_tokens_to_string(text)
+        else:
+            processed_text = text
+        processed_texts.append(processed_text)
+    
     inputs = tokenizer(
-        texts, 
+        processed_texts, 
         return_tensors="pt", 
         padding=True, 
         truncation=True,