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