Update README.md

README.md

@@ -11,7 +11,6 @@ This model is under trial.
 
 The number in the generated text represents the category of the news, as shown below.
 category_mapping = {
-
     'Political':1,
     'Economy':2,
     'Health':3,
@@ -24,13 +23,12 @@ category_mapping = {
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/645817bb72b60ae7a37f8f40/6gZDjcAOhWLvN5xF-E2FE.png)
 
-{
+# Example usage
 model_name = "Hezam/arabic-T5-news-classification-generation"
 from transformers import T5ForConditionalGeneration, T5Tokenizer
 model = T5ForConditionalGeneration.from_pretrained(model_name)
 tokenizer = T5Tokenizer.from_pretrained(model_name)
-# Example usage
 input_text = " الاستاذ حزام جوبح يحصل على براعة اختراع في التعلم العميق"
 output_text = model.generate(input_text)
 print(generated_text)
-}
+