Update app.py

app.py

@@ -7,10 +7,15 @@ model = AutoModel.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
 def text_to_vector(text):
+    """
+    Converts text to a vector representation using a pre-trained model.
+    """
     inputs = tokenizer(text, return_tensors="pt")
     outputs = model(**inputs)
     vector = outputs.pooler_output.detach().numpy()[0]
-    return vector
+    # Convert the vector to a string representation for display
+    vector_str = ", ".join([str(x) for x in vector])
+    return vector_str
 
 demo = gr.Interface(
     fn=text_to_vector,