Create README.md

README.md

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+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("Ahmade/rick-and-morty-v2")
+model = AutoModelForCausalLM.from_pretrained("Ahmade/rick-and-morty-v2")
+
+def chat(model, tokenizer):
+    print("type \"q\" to quit. Automatically quits after 5 messages")
+
+    for step in range(5):
+        message = input("MESSAGE: ")
+
+        if message in ["", "q"]:  # if the user doesn't wanna talk
+            break
+
+        # encode the new user input, add the eos_token and return a tensor in Pytorch
+        new_user_input_ids = tokenizer.encode(message + tokenizer.eos_token, return_tensors='pt')
+
+        # 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, 
+        
+        chat_history_ids = model.generate(
+            bot_input_ids, 
+            max_length=1000,
+            pad_token_id=tokenizer.eos_token_id,  
+            no_repeat_ngram_size=3,       
+            do_sample=True, 
+            top_k=100, 
+            top_p=0.7,
+            temperature = 0.8, 
+        )
+
+        # pretty print last ouput tokens from bot
+        print("DialoGPT: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))
+
+chat(model, tokenizer)