Update app.py

app.py

@@ -4,8 +4,8 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("TheCraftySlayer/Llama-2-70b-chat-hf")
 model = AutoModelForCausalLM.from_pretrained("TheCraftySlayer/Llama-2-70b-chat-hf")
 input_text =" hello how are you?"
-    inputs= tokenizer.encode(input_text, return_tensors='pt')
-    outputs= model.generate(inputs,max_length=50,num_return_sequences=5,temperature=0.7)
+inputs= tokenizer.encode(input_text, return_tensors='pt')
+outputs= model.generate(inputs,max_length=50,num_return_sequences=5,temperature=0.7)
 print("Generated Text")
 for i, output in enumerate(outputs):
     print({f"{i}: {tokenizer.decode(output)}")