Update README.md

README.md

@@ -1,16 +1,22 @@
-"""
+```
+### encode the input paragraph to summarize
 tokenized_text = tokenizer.encode_plus(
         str(text_input),
         return_attention_mask = True, 
         return_tensors="pt")
 
+### pass the tokenized paragraph in model
 generated_token = model.generate(
         input_ids = tokenized_text["input_ids"],
         attention_mask=tokenized_text["attention_mask"],
         max_length = 256,
         use_cache=True,
          )
+
+### decode the summarized paragraph token
 summarized_paragraph = [
            tokenizer.decode(token_ids=ids, skip_special_tokens=True) for ids in generated_token
    ]
-"""
+
+Summarized paragraph is the final result.
+```