Update app.py

app.py

@@ -8,7 +8,7 @@ model = AutoModel.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
 def text_to_vector(texts):
-    # Tokenize and process a batch of inputs
+    # Expect texts to be an array of sentences
     inputs = tokenizer(texts, return_tensors="pt", padding=True, truncation=True)
     outputs = model(**inputs)
     vectors = outputs.pooler_output.detach().numpy()
@@ -19,11 +19,12 @@ def text_to_vector(texts):
 
 demo = gr.Interface(
     fn=text_to_vector,
-    inputs=gr.Textbox(label="Enter text", lines=4, placeholder="Enter one or more texts (separate with new lines)"),
+    inputs=gr.Textbox(label="Enter JSON array", placeholder="Enter an array of sentences as a JSON string"),
     outputs=gr.Textbox(label="Text Vectors", lines=10),
     title="Batch Text to Vector",
-    description="This demo converts a batch of texts to vectors."
+    description="This demo converts an array of sentences to vectors."
 )
 
 demo.launch()
 
+