Update app.py

app.py

@@ -7,9 +7,9 @@ model = AutoModelForCausalLM.from_pretrained('Aityz/Aityz-3B')
 
 def generate(instruction, input = None, maxtokens: int = 20):
     if input is not None:
-        ln = f'Below is an instruction that describes a task. Write a response that appropriately completes the request. \n### Instruction: {instruction} \n### Input: {input} \n### Response:'
+        ln = f'Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {instruction} ### Input: {input} \n### Response:'
     if input is None:
-        ln = f'Below is an instruction that describes a task. Write a response that appropriately completes the request. \n### Instruction: {instruction} \n### Response:'
+        ln = f'Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {instruction} ### Response:'
     inputs = tokenizer(ln, return_tensors="pt")
     output = model.generate(inputs=inputs['input_ids'], max_new_tokens=maxtokens)
     return tokenizer.decode(output[0].tolist())