Update README.md

README.md

@@ -22,7 +22,8 @@ tokenizer = AutoTokenizer.from_pretrained(ft)
 model = AutoModelForCausalLM.from_pretrained(ft, torch_dtype=torch.float16, low_cpu_mem_usage=True)
 model.to(device)
 
-inp = '''Sophia, 29, a student, meets a male programmer Alex from India, who is 45 <|endoftext|> alex: How was your vacation? <|endoftext|> sofie: It was amazing! I went to the beach and it felt like paradise. What about you? 
+inp = '''Sophia, 29, a student, meets a male programmer Alex from India, who is 45 <|endoftext|>
+Alex: How was your vacation? <|endoftext|> sofie: It was amazing! I went to the beach and it felt like paradise. What about you? 
 <|endoftext|> Alex: i'm good. Tell me a joke <|endoftext|> Sofie:'''
 
 prepared = tokenizer.encode(inp, return_tensors='pt').to(model.device)