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)