Update README.md

README.md

@@ -37,14 +37,14 @@ You can use the `transformers` library to load and utilize the T5-Reverse (T5R)
 
 ```python
 # Import required libraries
-import torch
-from transformers import pipeline
+>>> import torch
+>>> from transformers import pipeline
 
 # Load the model and tokenizer using the pipeline from Hugging Face Hub
-inference = pipeline("text2text-generation", model="kargaranamir/T5R-base")
+>>> inference = pipeline("text2text-generation", model="kargaranamir/T5R-base")
 
 # Example instruction and prompt
-sample = '''
+>>> sample = '''
 Instruction: X
 Output: 1- Base your meals on higher fibre starchy carbohydrates. 2- Eat lots of fruit and veg. 3- Eat more fish, including a portion of oily fish.
 What kind of instruction could this be the answer to?
@@ -52,9 +52,9 @@ X:
 '''
 
 # Generate a response using the model
-res = inference(sample)
+>>> res = inference(sample)
 
 # Print the generated response
-print(res)
->> [{'generated_text': 'Instruction: Generate three recommendations for a healthy diet.'}]
+>>> print(res)
+[{'generated_text': 'Instruction: Generate three recommendations for a healthy diet.'}]
 ```