rm height from text areas

app.py

@@ -28,13 +28,11 @@ col1.subheader("Candidate labels")
 labels = col1.text_area(
     label="These are the labels that the model will try to predict for the given text input. Your input labels should be comma separated and meaningful.",
     value="spor,dünya,siyaset,ekonomi,kültür ve sanat",
-    height=10,
 )
 col2.subheader("Prompt template")
 prompt_template = col2.text_area(
     label="Prompt template is used to transform NLI and NSP tasks into a general-use zero-shot classifier. Models replace {} with the labels that you have given.",
     value="Bu metin {} kategorisine aittir",
-    height=10,
 )
 
 col1.header("Make predictions")