.

meta_ui.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import requests
+import json
 
 API_URL = "http://localhost:30000/generate"  # ✅ 使用原生 generate 接口
 API_KEY = "token-abc123"
@@ -19,15 +20,25 @@ def chat(user_message, history, max_tokens, temperature):
     }
     payload = {
         "model": MODEL_NAME,
-        "text": prompt,  # ✅ 注意是 text，不是 prompt
+        "text": prompt,  # ✅ generate 接口使用 text 字段
         "max_tokens": max_tokens,
         "temperature": temperature
     }
 
+    print(f"\n🟡 [chat] 请求 payload:\n{json.dumps(payload, ensure_ascii=False, indent=2)}")
+
     try:
         response = requests.post(API_URL, headers=headers, json=payload, timeout=30)
-        result = response.json()
-        reply = result["text"].strip()  # ✅ generate 接口返回字段是 text
+        print(f"🟢 [chat] HTTP 状态码: {response.status_code}")
+        print(f"🟢 [chat] 响应内容: {response.text}")
+
+        if response.status_code == 200 and response.content:
+            result = response.json()
+            reply = result.get("text", "").strip()
+            if not reply:
+                reply = "[⚠️ 返回内容为空]"
+        else:
+            reply = f"[⚠️ 无效响应] 状态码: {response.status_code}, 内容: {response.text}"
     except Exception as e:
         reply = f"[请求失败] {e}"
 
@@ -41,19 +52,27 @@ def test_api_connection(max_tokens, temperature):
     }
     payload = {
         "model": MODEL_NAME,
-        "text": "Ping?",  # ✅ 也改成 text 字段
+        "text": "Ping?",
         "max_tokens": max_tokens,
         "temperature": temperature
     }
 
+    print(f"\n🔵 [test] 请求 payload:\n{json.dumps(payload, ensure_ascii=False, indent=2)}")
+
     try:
         resp = requests.post(API_URL, headers=headers, json=payload, timeout=10)
-        out = resp.json()["text"].strip()
-        return f"✅ API 可用，响应: {out}"
+        print(f"🟢 [test] HTTP 状态码: {resp.status_code}")
+        print(f"🟢 [test] 响应内容: {resp.text}")
+
+        if resp.status_code == 200 and resp.content:
+            out = resp.json().get("text", "").strip()
+            return f"✅ API 可用，响应: {out or '[空响应]'}"
+        else:
+            return f"⚠️ 非预期响应: 状态码: {resp.status_code}, 内容: {resp.text}"
     except Exception as e:
         return f"❌ API 请求失败: {e}"
 
-# Gradio 界面
+# Gradio UI
 with gr.Blocks(title="Base 模型测试 UI") as demo:
     gr.Markdown("# 💬 Base 模型对话界面")