162 lines
5.9 KiB
Python
162 lines
5.9 KiB
Python
import json, datetime, textwrap, requests, gradio as gr
|
||
from pathlib import Path
|
||
from collections import deque
|
||
import queue, threading, time
|
||
|
||
# ───────────────────── 基础配置 ─────────────────────
|
||
API_URL = "http://localhost:30000/generate"
|
||
API_KEY = "token-abc123"
|
||
MODEL_PATH = Path("/root/.cradle/Alibaba/Qwen3-30B-A3B-Base")
|
||
|
||
def model_name(path: Path):
|
||
cfg = path / "config.json"
|
||
if cfg.exists():
|
||
data = json.load(cfg.open())
|
||
return data.get("architectures", [None])[0] or data.get("model_type") or path.name
|
||
return path.name
|
||
|
||
MODEL_NAME = model_name(MODEL_PATH)
|
||
now = lambda: datetime.datetime.now().strftime("%H:%M:%S")
|
||
|
||
# ───────────────────── 日志队列 ─────────────────────
|
||
LOG_Q: "queue.Queue[str]" = queue.Queue()
|
||
LOG_TXT = "" # ✅ 全局日志缓存，避免 chat 焦点阻断 log_box 更新
|
||
|
||
def log(msg): # 写终端 + 推队列
|
||
print(msg, flush=True)
|
||
LOG_Q.put(msg)
|
||
|
||
prev_log_value = "" # 上一帧的日志内容
|
||
|
||
def consume_logs(dummy=None):
|
||
"""每秒更新 log_box 内容，避免 chat 阻塞 UI 刷新"""
|
||
global LOG_TXT, prev_log_value
|
||
buf = deque(LOG_TXT.splitlines(), maxlen=400)
|
||
while not LOG_Q.empty():
|
||
buf.append(LOG_Q.get())
|
||
LOG_TXT = "\n".join(buf)
|
||
if LOG_TXT != prev_log_value:
|
||
prev_log_value = LOG_TXT
|
||
return gr.update(value=LOG_TXT)
|
||
return gr.update() # 无更新则不触发前端刷新
|
||
|
||
|
||
# ───────────────────── 后端调用 ─────────────────────
|
||
def backend(text, sampling):
|
||
payload = {"model": MODEL_NAME, "text": text, "sampling_params": sampling}
|
||
log(f"\n🟡 [{now()}] payload\n{json.dumps(payload, ensure_ascii=False, indent=2)}")
|
||
try:
|
||
r = requests.post(API_URL,
|
||
headers={"Authorization": f"Bearer {API_KEY}",
|
||
"Content-Type": "application/json"},
|
||
json=payload, timeout=180)
|
||
try:
|
||
data = r.json()
|
||
except Exception:
|
||
data = {}
|
||
fr = data.get("meta_info", {}).get("finish_reason")
|
||
ctok = data.get("meta_info", {}).get("completion_tokens")
|
||
log(f"🟢 [{now()}] HTTP {r.status_code} tokens={ctok} finish={fr}\n"
|
||
f"🟢 resp800={r.text[:800]!r}")
|
||
if r.status_code != 200:
|
||
return f"[HTTP {r.status_code}] {r.text[:300]}"
|
||
return data.get("text", "").strip() or "[⚠ 空]"
|
||
except Exception as e:
|
||
log(f"[❌ 请求异常] {e}")
|
||
return f"[❌ 请求异常] {e}"
|
||
|
||
# ───────────────────── Chat 回调 ─────────────────────
|
||
def chat(
|
||
user, history,
|
||
max_new, temp, top_p, top_k,
|
||
rep_pen, pres_pen, stop_raw,
|
||
log_state
|
||
):
|
||
import threading
|
||
from queue import Queue, Empty
|
||
|
||
stop = [s.strip() for s in stop_raw.split(",") if s.strip()] or None
|
||
samp = {
|
||
"max_new_tokens": int(max_new),
|
||
"temperature": temp,
|
||
"top_p": top_p,
|
||
"top_k": int(top_k),
|
||
"repetition_penalty": rep_pen,
|
||
"presence_penalty": pres_pen,
|
||
**({"stop": stop} if stop else {})
|
||
}
|
||
|
||
result_q = Queue()
|
||
|
||
# 后台线程执行 backend 推理
|
||
def worker():
|
||
out = backend(user, samp)
|
||
result_q.put(out)
|
||
|
||
thread = threading.Thread(target=worker)
|
||
thread.start()
|
||
|
||
# 先返回提示
|
||
yield "⏳ 正在生成中...", log_state
|
||
|
||
# 每 0.1 秒轮询结果队列（避免阻塞 UI）
|
||
while thread.is_alive() or not result_q.empty():
|
||
try:
|
||
result = result_q.get(timeout=0.1)
|
||
yield result, log_state
|
||
except Empty:
|
||
continue
|
||
|
||
|
||
# ───────────────────── Gradio UI ─────────────────────
|
||
with gr.Blocks(title="调试界面") as demo:
|
||
gr.Markdown(f"## 💬 调试界面 \n权重 **{MODEL_PATH.name}**")
|
||
|
||
# 采样参数控件
|
||
with gr.Row():
|
||
max_new = gr.Slider(32, 32768, 128, label="max_new_tokens")
|
||
temp = gr.Slider(0, 1.5, 0.8, step=0.05, label="temperature")
|
||
with gr.Row():
|
||
top_p = gr.Slider(0, 1, 0.95, step=0.01, label="top_p")
|
||
top_k = gr.Slider(0, 200, 50, step=1, label="top_k")
|
||
with gr.Row():
|
||
rep_pen = gr.Slider(0.8, 2, 1.05, step=0.01, label="repetition_penalty")
|
||
pres_pen= gr.Slider(0, 2, 0.0, step=0.05, label="presence_penalty")
|
||
stop_txt = gr.Textbox("", label="stop 序列（逗号分隔）")
|
||
|
||
log_state = gr.State("") # 状态透传
|
||
dbg_chk = gr.Checkbox(label="📜 显示 Debug 面板", value=False) # ✅ 默认关闭
|
||
log_box = gr.Textbox(label="实时日志", lines=20, interactive=False, visible=False) # ✅ 默认隐藏
|
||
|
||
# Chat 界面（移到日志之前）
|
||
# chatbot = gr.ChatInterface(
|
||
# fn=chat,
|
||
# additional_inputs=[max_new, temp, top_p, top_k,
|
||
# rep_pen, pres_pen, stop_txt, log_state],
|
||
# additional_outputs=[log_state],
|
||
# type="messages"
|
||
# )
|
||
|
||
chatbot = gr.ChatInterface(
|
||
fn=chat,
|
||
textbox=gr.Textbox(lines=2, placeholder="文本...", label="Prompt"),
|
||
submit_btn=gr.Button(value="", icon="send"),
|
||
additional_inputs=[max_new, temp, top_p, top_k, rep_pen, pres_pen, stop_txt, log_state],
|
||
additional_outputs=[log_state],
|
||
type="messages"
|
||
)
|
||
|
||
# 日志刷新定时器
|
||
timer = gr.Timer(1.0, render=True)
|
||
timer.tick(
|
||
fn=consume_logs,
|
||
inputs=[],
|
||
outputs=[log_box],
|
||
)
|
||
|
||
log_state.change(lambda txt: gr.update(value=txt), log_state, log_box)
|
||
dbg_chk.change(lambda v: gr.update(visible=v), dbg_chk, log_box)
|
||
|
||
|
||
demo.launch(server_name="0.0.0.0", server_port=30001)
|