alpaca prompt

tinysql_model_demo.py

@@ -36,11 +36,8 @@ def generate_sql(model_name, instruction, schema, max_length=256, temperature=0.
     
     try:
         tokenizer, model = load_model(model_name)
-        
-        prompt = f"""### Instruction: {instruction}
-### Context: {schema}
-### Response:"""
-        
+
+        prompt = f"### Instruction: {instruction} ### Context: {schema} ### Response:"
         inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
         
         outputs = model.generate(