.

meta_ui.py

@@ -5,15 +5,10 @@ API_URL = "http://localhost:30000/v1/completions"
 API_KEY = "token-abc123"
 MODEL_NAME = "Qwen3-14b-base"
 
-# 构造 prompt：Base 模型靠拼接上下文
+# 🚫 不再格式化拼接历史，只取最后一条用户输入
 def build_prompt(history, user_message):
-    prompt = ""
+    return user_message  # 原样作为 prompt 送入模型
-    for user, bot in history:
-        prompt += f"User: {user}\nAssistant: {bot}\n"
-    prompt += f"User: {user_message}\nAssistant:"
-    return prompt
 
-# 主对话函数
 def chat(user_message, history, max_tokens, temperature):
     prompt = build_prompt(history, user_message)
 
@@ -25,8 +20,7 @@ def chat(user_message, history, max_tokens, temperature):
         "model": MODEL_NAME,
         "prompt": prompt,
         "max_tokens": max_tokens,
-        "temperature": temperature,
+        "temperature": temperature
-        "stop": ["\nUser:", "\nAssistant:"]
     }
 
     try:
@@ -38,7 +32,6 @@ def chat(user_message, history, max_tokens, temperature):
 
     return reply
 
-# 手动测试 API 功能
 def test_api_connection(max_tokens, temperature):
     headers = {
         "Authorization": f"Bearer {API_KEY}",
@@ -58,7 +51,6 @@ def test_api_connection(max_tokens, temperature):
     except Exception as e:
         return f"❌ API 请求失败: {e}"
 
-# Gradio 控件组合
 with gr.Blocks(title="Base 模型测试 UI") as demo:
     gr.Markdown("# 💬 Base 模型对话界面")
 
@@ -75,5 +67,4 @@ with gr.Blocks(title="Base 模型测试 UI") as demo:
 
     test_btn.click(fn=test_api_connection, inputs=[max_tokens, temperature], outputs=test_output)
 
-# 启动服务
 demo.launch(server_name="0.0.0.0", server_port=30001)

meta_ui.py.old

@@ -0,0 +1,79 @@
+import gradio as gr
+import requests
+
+API_URL = "http://localhost:30000/v1/completions"
+API_KEY = "token-abc123"
+MODEL_NAME = "Qwen3-14b-base"
+
+# 构造 prompt：Base 模型靠拼接上下文
+def build_prompt(history, user_message):
+    prompt = ""
+    for user, bot in history:
+        prompt += f"User: {user}\nAssistant: {bot}\n"
+    prompt += f"User: {user_message}\nAssistant:"
+    return prompt
+
+# 主对话函数
+def chat(user_message, history, max_tokens, temperature):
+    prompt = build_prompt(history, user_message)
+
+    headers = {
+        "Authorization": f"Bearer {API_KEY}",
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "model": MODEL_NAME,
+        "prompt": prompt,
+        "max_tokens": max_tokens,
+        "temperature": temperature,
+        "stop": ["\nUser:", "\nAssistant:"]
+    }
+
+    try:
+        response = requests.post(API_URL, headers=headers, json=payload, timeout=30)
+        result = response.json()
+        reply = result["choices"][0]["text"].strip()
+    except Exception as e:
+        reply = f"[请求失败] {e}"
+
+    return reply
+
+# 手动测试 API 功能
+def test_api_connection(max_tokens, temperature):
+    headers = {
+        "Authorization": f"Bearer {API_KEY}",
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "model": MODEL_NAME,
+        "prompt": "Ping?",
+        "max_tokens": max_tokens,
+        "temperature": temperature
+    }
+
+    try:
+        resp = requests.post(API_URL, headers=headers, json=payload, timeout=10)
+        out = resp.json()["choices"][0]["text"].strip()
+        return f"✅ API 可用，响应: {out}"
+    except Exception as e:
+        return f"❌ API 请求失败: {e}"
+
+# Gradio 控件组合
+with gr.Blocks(title="Base 模型测试 UI") as demo:
+    gr.Markdown("# 💬 Base 模型对话界面")
+
+    with gr.Row():
+        max_tokens = gr.Slider(32, 1024, value=256, label="max_tokens")
+        temperature = gr.Slider(0.0, 1.5, value=0.7, step=0.05, label="temperature")
+        test_btn = gr.Button("🔁 测试 API 可用性")
+        test_output = gr.Textbox(label="API 测试结果", interactive=False)
+
+    chatbot = gr.ChatInterface(
+        fn=lambda msg, hist: chat(msg, hist, max_tokens.value, temperature.value),
+        title=None
+    )
+
+    test_btn.click(fn=test_api_connection, inputs=[max_tokens, temperature], outputs=test_output)
+
+# 启动服务
+demo.launch(server_name="0.0.0.0", server_port=30001)