Update app.py

app.py

@@ -15,7 +15,11 @@ emotion_classifier = pipeline("text-classification", model=emotion_model, tokeni
 
 # Function to generate embeddings using AraBERT
 def generate_embeddings(texts):
-    # Tokenize the list of texts using the tokenizer
+    # Ensure texts is a list of strings
+    if isinstance(texts, str):  # If single string, convert to list
+        texts = [texts]
+
+    # Tokenize the list of strings (ensure all are strings)
     inputs = bert_tokenizer(texts, return_tensors="pt", padding=True, truncation=False, max_length=512)
 
     # Split large sequences into chunks of size 512