Update README.md

README.md

@@ -33,19 +33,19 @@ This modelcard aims to be a base template for new models. It has been generated
 
 ## Uses
 
-from transformers import AutoModelForCausalLM, AutoTokenizer
-import torch
+    from transformers import AutoModelForCausalLM, AutoTokenizer
+    import torch
 
 
-tokenizer = AutoTokenizer.from_pretrained("finex/Stage-IOTGraphic")
-model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")
+    tokenizer = AutoTokenizer.from_pretrained("finex/Stage-IOTGraphic")
+    model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")
 
-# Let's chat for 5 lines
-    #for step in range(5):
+    Let's chat for 5 lines
+    for step in range(5):
     # encode the new user input, add the eos_token and return a tensor in Pytorch
     new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt')
 
-    # append the new user input tokens to the chat history
+     append the new user input tokens to the chat history
     bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids
 
     # generated a response while limiting the total chat history to 1000 tokens,