diff --git a/pilot/server/sqlgpt.py b/pilot/server/sqlgpt.py
index 81f9b22dd..52522e6bd 100644
--- a/pilot/server/sqlgpt.py
+++ b/pilot/server/sqlgpt.py
@@ -7,7 +7,6 @@ import torch
 import gradio as gr
 from fastchat.serve.inference import generate_stream, compress_module
 
-
 from transformers import AutoTokenizer, AutoModelForCausalLM
 device = "cuda" if torch.cuda.is_available() else "cpu"
 BASE_MODE = "/home/magic/workspace/github/DB-GPT/models/vicuna-13b"
@@ -26,18 +25,19 @@ def generate(prompt):
     print(model, tokenizer)
     params = {
         "model": "vicuna-13b",
-        "prompt": prompt,
+        "prompt": "这是一个用户与助手之间的对话, 助手精通数据库领域的知识, 并能够对数据库领域知识做出非常专业的回答。以下是用户的问题:" + prompt,
         "temperature": 0.7,
         "max_new_tokens": 512,
         "stop": "###"
     }
-    output = generate_stream(
-        model, tokenizer, params, device, context_len=2048, stream_interval=2): 
+    for output in generate_stream(
+        model, tokenizer, params, device, context_len=2048, stream_interval=2):
+        ret = {
+            "text": output,
+            "error_code": 0
+        }
         
-
-    for chunk in output.iter_lines(decode_unicode=False, delimiter=b"\0"):
-        if chunk:
-            yield chunk
+        yield json.dumps(ret).decode() + b"\0"
 
 if __name__ == "__main__":
     with gr.Blocks() as demo:
@@ -50,7 +50,7 @@ if __name__ == "__main__":
 
         text_button.click(generate, inputs=text_input, outputs=text_output)
 
-    demo.queue(concurrency_count=3).launch() 
+    demo.queue(concurrency_count=3).launch(host="0.0.0.0")