dekun
705 lines
23 KiB
Python
705 lines
23 KiB
Python
"""
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Trading Studio — 自动化交易复盘视频配音系统
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Gradio Web 中控：音色锁定 → Whisper 识别 → Gemma4 润色 → ChatTTS 合成
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"""
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from __future__ import annotations
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import logging
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import shutil
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import sys
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import uuid
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from pathlib import Path
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import gradio as gr
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from config import (
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GIT_REPO_URL,
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HOST,
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MODEL_NAME,
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OLLAMA_URL,
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PORT,
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SPEAKER_EMB_PATH,
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UPLOAD_DIR,
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)
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from llm_service import check_ollama_health, polish_text
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from tts_service import generate_voice, save_fixed_speaker, speaker_is_ready
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from whisper_service import transcribe_audio
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# ---------------------------------------------------------------------------
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# 日志
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# ---------------------------------------------------------------------------
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
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handlers=[
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logging.StreamHandler(sys.stdout),
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logging.FileHandler("trading_studio.log", encoding="utf-8"),
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],
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)
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logger = logging.getLogger("trading_studio")
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# ---------------------------------------------------------------------------
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# 全局 UI 状态（Gradio State）
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# ---------------------------------------------------------------------------
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# raw_transcript / polished_script 在流水线中传递
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def _save_upload(upload_file) -> str | None:
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"""将 Gradio 上传文件复制到本地 uploads 目录，返回持久化路径。"""
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if upload_file is None:
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return None
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src = Path(upload_file)
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if not src.exists():
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return None
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dest = UPLOAD_DIR / f"{uuid.uuid4().hex}_{src.name}"
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shutil.copy2(src, dest)
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return str(dest)
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# ---------------------------------------------------------------------------
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# 模块 1：音色锁定
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# ---------------------------------------------------------------------------
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def ui_lock_speaker(audio_file, sample_transcript: str) -> tuple[str, str]:
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"""【音色锁定】从参考人声提取并保存 Speaker Embedding。"""
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path = _save_upload(audio_file)
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if not path:
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return "请上传 10-30 秒干净参考人声（wav/mp3 均可）。", ui_speaker_status_html()
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ok, msg = save_fixed_speaker(path, sample_transcript or "")
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result = msg if ok else f"❌ {msg}"
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return result, ui_speaker_status_html()
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def ui_speaker_status() -> str:
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"""刷新音色状态（纯文本，供日志框使用）。"""
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ok, msg = speaker_is_ready()
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return f"✅ {msg}" if ok else f"⚠️ {msg}"
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# ---------------------------------------------------------------------------
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# 模块 2：音频极速识别
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# ---------------------------------------------------------------------------
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def ui_transcribe(audio_file) -> tuple[str, str]:
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"""【Whisper 识别】返回 (转写文本, 状态日志)。"""
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path = _save_upload(audio_file)
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if not path:
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return "", "请上传待识别的碎碎念录音。"
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ok, result = transcribe_audio(path)
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if ok:
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return result, f"✅ 识别完成，共 {len(result)} 字。"
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return "", f"❌ {result}"
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# ---------------------------------------------------------------------------
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# 模块 3：Gemma4 纪律审判
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# ---------------------------------------------------------------------------
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def ui_polish(raw_text: str) -> tuple[str, str]:
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"""【LLM 润色】对转写稿进行严厉自我反思式润色。"""
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if not raw_text or not raw_text.strip():
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return "", "请先完成语音识别或手动粘贴转写文本。"
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ok, result = polish_text(raw_text)
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if ok:
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return result, f"✅ Gemma4 润色完成，共 {len(result)} 字。"
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return "", f"❌ {result}"
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def ui_check_ollama() -> str:
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"""检测远程 Ollama 节点状态。"""
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ok, msg = check_ollama_health()
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return f"✅ {msg}" if ok else f"❌ {msg}"
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# ---------------------------------------------------------------------------
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# 模块 4：ChatTTS 音频合成
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# ---------------------------------------------------------------------------
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def ui_synthesize(polished_text: str) -> tuple[str | None, str]:
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"""【TTS 合成】生成最终 wav 配音文件。"""
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if not polished_text or not polished_text.strip():
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return None, "请先完成 Gemma4 润色。"
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ok, msg, wav_path = generate_voice(polished_text)
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if ok and wav_path:
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return wav_path, f"✅ {msg}"
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return None, f"❌ {msg}"
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# ---------------------------------------------------------------------------
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# 一键流水线
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# ---------------------------------------------------------------------------
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def ui_full_pipeline(
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audio_file,
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skip_polish: bool,
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manual_raw: str,
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) -> tuple[str, str, str | None, str]:
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"""
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串联执行：识别 → 润色（可跳过）→ 合成。
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返回 (raw, polished, wav_path, log)
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"""
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logs: list[str] = []
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# Step 1: 识别
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if manual_raw and manual_raw.strip():
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raw = manual_raw.strip()
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logs.append(f"使用手动输入转写稿（{len(raw)} 字）。")
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else:
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path = _save_upload(audio_file)
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if not path:
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return "", "", None, "❌ 请上传录音或手动填写转写文本。"
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ok, result = transcribe_audio(path)
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if not ok:
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return "", "", None, f"❌ 识别失败: {result}"
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raw = result
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logs.append(f"✅ Whisper 识别完成（{len(raw)} 字）。")
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# Step 2: 润色
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if skip_polish:
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polished = raw
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logs.append("已跳过 LLM 润色，直接使用原文。")
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else:
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ok, result = polish_text(raw)
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if not ok:
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return raw, "", None, f"❌ 润色失败: {result}\n" + "\n".join(logs)
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polished = result
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logs.append(f"✅ Gemma4 润色完成（{len(polished)} 字）。")
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# Step 3: 合成
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ok, msg, wav_path = generate_voice(polished)
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if not ok:
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return raw, polished, None, f"❌ 合成失败: {msg}\n" + "\n".join(logs)
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logs.append(f"✅ {msg}")
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return raw, polished, wav_path, "\n".join(logs)
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# ---------------------------------------------------------------------------
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# Gradio 界面
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# ---------------------------------------------------------------------------
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APP_ROOT = Path(__file__).resolve().parent
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PWA_DIR = APP_ROOT / "pwa"
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PWA_HEAD = """
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<meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover">
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<meta name="theme-color" content="#2563eb">
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<meta name="mobile-web-app-capable" content="yes">
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<meta name="apple-mobile-web-app-capable" content="yes">
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<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
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<meta name="apple-mobile-web-app-title" content="Trading Studio">
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<link rel="manifest" href="/manifest.webmanifest">
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<link rel="icon" href="/pwa/icons/icon.svg" type="image/svg+xml">
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<link rel="apple-touch-icon" href="/pwa/icons/icon.svg">
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<script>
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if ("serviceWorker" in navigator) {
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window.addEventListener("load", function () {
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navigator.serviceWorker.register("/sw.js", { scope: "/" }).catch(function () {});
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});
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}
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</script>
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"""
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CUSTOM_CSS = """
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/* ========== 居中布局 + 响应式 + 高对比度 ========== */
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html, body {
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width: 100% !important;
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min-height: 100vh !important;
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margin: 0 !important;
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padding: 0 !important;
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background: #0f1419 !important;
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overflow-x: hidden !important;
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}
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/* 外层全宽背景，内容区水平居中 */
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gradio-app,
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.gradio-app,
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#main,
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.app,
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.fillable,
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.contain {
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width: 100% !important;
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max-width: 100% !important;
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display: flex !important;
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flex-direction: column !important;
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align-items: center !important;
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justify-content: flex-start !important;
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background: #0f1419 !important;
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box-sizing: border-box !important;
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}
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/* 核心内容容器居中 */
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.gradio-container {
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background: #0f1419 !important;
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color: #eef2f7 !important;
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font-size: 15px !important;
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width: 100% !important;
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max-width: min(1200px, 94vw) !important;
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margin-left: auto !important;
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margin-right: auto !important;
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padding: 16px clamp(12px, 3vw, 32px) !important;
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box-sizing: border-box !important;
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float: none !important;
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}
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/* 带鱼屏 / 超宽屏 */
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@media (min-width: 1920px) {
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.gradio-container { max-width: min(1280px, 82vw) !important; }
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}
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@media (min-width: 2560px) {
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.gradio-container { max-width: min(1360px, 68vw) !important; }
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}
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@media (min-width: 3440px) {
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.gradio-container { max-width: 1440px !important; }
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}
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/* 平板 */
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@media (max-width: 1024px) {
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.gradio-container {
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max-width: 100% !important;
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padding: 14px 18px !important;
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}
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}
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/* 手机 */
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@media (max-width: 640px) {
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.gradio-container {
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max-width: 100% !important;
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padding: 10px 12px !important;
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font-size: 14px !important;
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}
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.gradio-container h1 { font-size: 1.35rem !important; }
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.gradio-container .tab-nav {
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flex-wrap: wrap !important;
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gap: 6px !important;
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}
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.gradio-container .tab-nav button {
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flex: 1 1 28% !important;
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min-width: 88px !important;
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padding: 8px 8px !important;
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font-size: 0.8rem !important;
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}
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.status-row,
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.status-row > div,
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.pipeline-steps,
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.pipeline-steps > div,
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.pipeline-output-row,
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.pipeline-output-row > div {
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flex-direction: column !important;
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width: 100% !important;
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}
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.status-row button,
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.pipeline-steps button,
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.pipeline-output-row button {
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width: 100% !important;
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}
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.dark-panel table {
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font-size: 0.85rem !important;
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display: block !important;
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overflow-x: auto !important;
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}
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.install-hint { font-size: 0.85rem !important; }
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}
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/* 触摸设备：按钮最小点击区域 44px */
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@media (hover: none) and (pointer: coarse) {
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.gradio-container button { min-height: 44px !important; }
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}
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/* 全局文字 */
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.gradio-container p,
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.gradio-container span,
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.gradio-container label,
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.gradio-container .prose,
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.gradio-container .markdown-text,
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.gradio-container .md {
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color: #eef2f7 !important;
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}
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.gradio-container h1 {
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color: #ffffff !important;
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font-size: 1.75rem !important;
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font-weight: 700 !important;
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}
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.gradio-container h2,
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.gradio-container h3 {
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color: #dbeafe !important;
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font-size: 1.15rem !important;
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font-weight: 600 !important;
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}
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.gradio-container .block-label,
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.gradio-container label,
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.gradio-container .label-wrap span {
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color: #93c5fd !important;
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font-weight: 600 !important;
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font-size: 0.95rem !important;
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}
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.gradio-container textarea,
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.gradio-container input[type="text"],
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.gradio-container .wrap textarea,
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.gradio-container .wrap input {
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color: #ffffff !important;
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background: #1a2332 !important;
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border: 1px solid #4b5563 !important;
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font-size: 0.95rem !important;
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line-height: 1.6 !important;
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}
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.gradio-container textarea::placeholder,
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.gradio-container input::placeholder {
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color: #9ca3af !important;
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opacity: 1 !important;
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}
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.gradio-container .wrap .readonly textarea {
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background: #111827 !important;
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color: #e5e7eb !important;
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border-color: #374151 !important;
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}
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.gradio-container .tab-nav button {
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color: #9ca3af !important;
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font-weight: 600 !important;
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font-size: 0.95rem !important;
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padding: 10px 18px !important;
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}
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.gradio-container .tab-nav button.selected {
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color: #ffffff !important;
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background: #1e3a5f !important;
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border-bottom: 3px solid #3b82f6 !important;
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}
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.gradio-container button.primary,
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.gradio-container .primary {
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background: #2563eb !important;
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color: #ffffff !important;
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font-weight: 700 !important;
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font-size: 0.95rem !important;
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border: 1px solid #3b82f6 !important;
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}
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.gradio-container button.primary:hover { background: #1d4ed8 !important; }
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.gradio-container button.secondary,
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.gradio-container button:not(.primary) {
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color: #e5e7eb !important;
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background: #374151 !important;
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border: 1px solid #6b7280 !important;
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font-weight: 600 !important;
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}
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.dark-panel {
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border: 1px solid #3b82f6 !important;
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border-radius: 10px !important;
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padding: 18px 20px !important;
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background: #1a2332 !important;
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margin-bottom: 16px !important;
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width: 100% !important;
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box-sizing: border-box !important;
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}
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.dark-panel code {
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color: #93c5fd !important;
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background: #0f172a !important;
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padding: 2px 6px !important;
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border-radius: 4px !important;
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}
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|
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.install-hint {
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margin-top: 12px !important;
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padding: 10px 14px !important;
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border-radius: 8px !important;
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background: #1e3a5f !important;
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border: 1px dashed #3b82f6 !important;
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color: #bfdbfe !important;
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font-size: 0.9rem !important;
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}
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.status-card {
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border-radius: 10px;
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padding: 14px 16px;
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margin: 4px 0;
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border-left: 5px solid #6b7280;
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background: #1f2937;
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min-height: 72px;
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width: 100%;
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box-sizing: border-box;
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}
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.status-card .status-title {
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font-size: 0.85rem;
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font-weight: 700;
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color: #93c5fd !important;
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margin-bottom: 8px;
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}
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.status-card .status-body {
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font-size: 0.92rem;
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line-height: 1.55;
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color: #f3f4f6 !important;
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word-break: break-word;
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}
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.status-ok { border-left-color: #22c55e !important; background: #14291a !important; }
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.status-ok .status-body { color: #bbf7d0 !important; }
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.status-warn { border-left-color: #f59e0b !important; background: #2a2010 !important; }
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.status-warn .status-body { color: #fde68a !important; }
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.status-err { border-left-color: #ef4444 !important; background: #2a1515 !important; }
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.status-err .status-body { color: #fecaca !important; }
|
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|
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.gradio-container .audio-container,
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.gradio-container .upload-container {
|
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border: 2px dashed #4b5563 !important;
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background: #1a2332 !important;
|
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}
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footer { visibility: hidden; }
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"""
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|
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def _status_html(title: str, message: str, level: str = "warn") -> str:
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"""生成高对比度状态卡片 HTML。level: ok | warn | err"""
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icons = {"ok": "✅", "warn": "⚠️", "err": "❌"}
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icon = icons.get(level, "ℹ️")
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# 去掉 message 里重复的 emoji，避免双图标
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clean = message.lstrip("✅❌⚠️ ").strip()
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return (
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f'<div class="status-card status-{level}">'
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f'<div class="status-title">{icon} {title}</div>'
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f'<div class="status-body">{clean}</div>'
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f"</div>"
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)
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|
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|
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def ui_check_ollama_html() -> str:
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ok, msg = check_ollama_health()
|
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return _status_html("Ollama 节点", msg, "ok" if ok else "err")
|
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|
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|
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def ui_speaker_status_html() -> str:
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ok, msg = speaker_is_ready()
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return _status_html("音色状态", msg, "ok" if ok else "warn")
|
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|
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|
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def build_theme() -> gr.themes.Base:
|
||
"""高对比度暗色主题（Gradio 6.0 需在 launch() 传入）。"""
|
||
return gr.themes.Base(
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primary_hue="blue",
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||
secondary_hue="blue",
|
||
neutral_hue="slate",
|
||
font=[gr.themes.GoogleFont("Inter"), "system-ui", "sans-serif"],
|
||
font_mono=[gr.themes.GoogleFont("JetBrains Mono"), "Consolas", "monospace"],
|
||
).set(
|
||
body_background_fill="#0f1419",
|
||
body_background_fill_dark="#0f1419",
|
||
body_text_color="#eef2f7",
|
||
body_text_color_dark="#eef2f7",
|
||
block_background_fill="#1a2332",
|
||
block_background_fill_dark="#1a2332",
|
||
block_border_color="#4b5563",
|
||
block_title_text_color="#ffffff",
|
||
block_label_text_color="#93c5fd",
|
||
input_background_fill="#1a2332",
|
||
input_background_fill_dark="#1a2332",
|
||
button_primary_background_fill="#2563eb",
|
||
button_primary_background_fill_hover="#1d4ed8",
|
||
button_primary_text_color="#ffffff",
|
||
button_secondary_background_fill="#374151",
|
||
button_secondary_text_color="#e5e7eb",
|
||
border_color_primary="#3b82f6",
|
||
)
|
||
|
||
|
||
def build_app() -> gr.Blocks:
|
||
"""构建 Gradio 主界面。"""
|
||
with gr.Blocks(
|
||
title="Trading Studio | 交易复盘配音中控",
|
||
) as demo:
|
||
gr.Markdown(
|
||
f"""
|
||
# ⚡ Trading Studio
|
||
|
||
**本地量化交易复盘 → B 站配音生产流水线**
|
||
|
||
| 模块 | 说明 |
|
||
|------|------|
|
||
| Whisper | 本地 GPU 语音识别 |
|
||
| Gemma4 | `{MODEL_NAME}` @ `{OLLAMA_URL.replace('/api/chat', '')}` |
|
||
| ChatTTS | 本地 GPU 固定音色合成 |
|
||
|
||
> 仓库: [{GIT_REPO_URL}]({GIT_REPO_URL})
|
||
|
||
<div class="install-hint">📱 <strong>安装为 App：</strong>手机/平板用浏览器菜单「添加到主屏幕」；电脑 Chrome/Edge 地址栏点击「安装 Trading Studio」图标即可。</div>
|
||
""",
|
||
elem_classes=["dark-panel"],
|
||
)
|
||
|
||
with gr.Row(elem_classes=["status-row"]):
|
||
ollama_status = gr.HTML(value=_status_html("Ollama 节点", "正在检测...", "warn"))
|
||
speaker_status = gr.HTML(value=_status_html("音色状态", "正在检测...", "warn"))
|
||
refresh_btn = gr.Button("🔄 刷新状态", variant="secondary", scale=0, min_width=120)
|
||
|
||
refresh_btn.click(
|
||
fn=lambda: (ui_check_ollama_html(), ui_speaker_status_html()),
|
||
outputs=[ollama_status, speaker_status],
|
||
)
|
||
|
||
with gr.Tabs():
|
||
# ---- Tab 1: 音色锁定 ----
|
||
with gr.Tab("🎙️ 音色锁定"):
|
||
gr.Markdown(
|
||
"上传 **10-30 秒** 干净人声样本，系统将提取 Speaker Embedding "
|
||
f"并保存至 `{SPEAKER_EMB_PATH.name}`，后续合成 100% 还原音色。"
|
||
)
|
||
with gr.Row():
|
||
spk_audio = gr.Audio(
|
||
label="参考人声（碎碎念盲录样本）",
|
||
type="filepath",
|
||
sources=["upload", "microphone"],
|
||
)
|
||
spk_transcript = gr.Textbox(
|
||
label="参考音频精确转写（可选，提升还原度）",
|
||
placeholder="尽量与参考音频内容完全一致...",
|
||
lines=6,
|
||
)
|
||
lock_btn = gr.Button("🔒 锁定音色", variant="primary")
|
||
lock_log = gr.Textbox(label="锁定结果", lines=4, interactive=False)
|
||
lock_btn.click(
|
||
ui_lock_speaker,
|
||
[spk_audio, spk_transcript],
|
||
[lock_log, speaker_status],
|
||
)
|
||
|
||
# ---- Tab 2: 分步操作 ----
|
||
with gr.Tab("🔧 分步流水线"):
|
||
with gr.Row(elem_classes=["pipeline-steps"]):
|
||
with gr.Column(scale=1):
|
||
gr.Markdown("### Step 1 · 音频极速识别")
|
||
rec_audio = gr.Audio(
|
||
label="交易复盘碎碎念录音",
|
||
type="filepath",
|
||
sources=["upload", "microphone"],
|
||
)
|
||
transcribe_btn = gr.Button("⚡ Faster-Whisper 识别", variant="primary")
|
||
transcribe_log = gr.Textbox(label="识别日志", lines=2, interactive=False)
|
||
|
||
with gr.Column(scale=1):
|
||
gr.Markdown("### Step 2 · Gemma4 纪律审判")
|
||
raw_text = gr.Textbox(
|
||
label="转写原文（可编辑）",
|
||
lines=10,
|
||
placeholder="识别结果将显示在此，也可手动粘贴...",
|
||
)
|
||
polish_btn = gr.Button("⚖️ 远程 Gemma4 严厉润色", variant="primary")
|
||
polish_log = gr.Textbox(label="润色日志", lines=2, interactive=False)
|
||
|
||
with gr.Column(scale=1):
|
||
gr.Markdown("### Step 3 · ChatTTS 配音合成")
|
||
polished_text = gr.Textbox(
|
||
label="润色配音稿（可编辑）",
|
||
lines=10,
|
||
placeholder="润色结果将显示在此...",
|
||
)
|
||
synth_btn = gr.Button("🔊 合成配音 WAV", variant="primary")
|
||
synth_log = gr.Textbox(label="合成日志", lines=2, interactive=False)
|
||
output_audio = gr.Audio(label="成品配音", type="filepath")
|
||
|
||
transcribe_btn.click(ui_transcribe, rec_audio, [raw_text, transcribe_log])
|
||
polish_btn.click(ui_polish, raw_text, [polished_text, polish_log])
|
||
synth_btn.click(ui_synthesize, polished_text, [output_audio, synth_log])
|
||
|
||
# ---- Tab 3: 一键生产 ----
|
||
with gr.Tab("🚀 一键生产"):
|
||
gr.Markdown(
|
||
"上传碎碎念录音，系统自动完成 **识别 → 润色 → 合成** 全流程。"
|
||
)
|
||
with gr.Row():
|
||
pipe_audio = gr.Audio(
|
||
label="复盘录音",
|
||
type="filepath",
|
||
sources=["upload", "microphone"],
|
||
)
|
||
pipe_manual = gr.Textbox(
|
||
label="或手动输入转写（跳过识别）",
|
||
lines=4,
|
||
placeholder="若已有转写文本，可直接粘贴，留空则走 Whisper 识别",
|
||
)
|
||
skip_polish_cb = gr.Checkbox(
|
||
label="跳过 Gemma4 润色（仅测试 TTS）",
|
||
value=False,
|
||
)
|
||
pipeline_btn = gr.Button("▶ 启动全流程", variant="primary", size="lg")
|
||
pipeline_log = gr.Textbox(label="流水线日志", lines=6, interactive=False)
|
||
with gr.Row(elem_classes=["pipeline-output-row"]):
|
||
pipe_raw = gr.Textbox(label="转写原文", lines=6)
|
||
pipe_polished = gr.Textbox(label="润色稿", lines=6)
|
||
pipe_output = gr.Audio(label="成品配音", type="filepath")
|
||
|
||
pipeline_btn.click(
|
||
ui_full_pipeline,
|
||
[pipe_audio, skip_polish_cb, pipe_manual],
|
||
[pipe_raw, pipe_polished, pipe_output, pipeline_log],
|
||
)
|
||
|
||
demo.load(
|
||
fn=lambda: (ui_check_ollama_html(), ui_speaker_status_html()),
|
||
outputs=[ollama_status, speaker_status],
|
||
)
|
||
|
||
return demo
|
||
|
||
|
||
def create_fastapi_app():
|
||
"""创建 FastAPI 应用：Gradio 中控 + PWA 静态资源。"""
|
||
from fastapi import FastAPI
|
||
from fastapi.responses import FileResponse
|
||
from fastapi.staticfiles import StaticFiles
|
||
|
||
fastapi_app = FastAPI(title="Trading Studio", docs_url=None, redoc_url=None)
|
||
|
||
if PWA_DIR.is_dir():
|
||
fastapi_app.mount("/pwa", StaticFiles(directory=str(PWA_DIR)), name="pwa")
|
||
|
||
@fastapi_app.get("/manifest.webmanifest")
|
||
async def manifest():
|
||
return FileResponse(
|
||
PWA_DIR / "manifest.webmanifest",
|
||
media_type="application/manifest+json",
|
||
)
|
||
|
||
@fastapi_app.get("/sw.js")
|
||
async def service_worker():
|
||
return FileResponse(
|
||
PWA_DIR / "sw.js",
|
||
media_type="application/javascript",
|
||
headers={"Service-Worker-Allowed": "/"},
|
||
)
|
||
|
||
blocks = build_app()
|
||
gr.mount_gradio_app(
|
||
fastapi_app,
|
||
blocks,
|
||
path="/",
|
||
css=CUSTOM_CSS,
|
||
theme=build_theme(),
|
||
head=PWA_HEAD,
|
||
allowed_paths=[str(APP_ROOT / "outputs")],
|
||
)
|
||
return fastapi_app
|
||
|
||
|
||
def main() -> None:
|
||
"""主入口：FastAPI + Gradio + PWA。"""
|
||
import uvicorn
|
||
|
||
logger.info("Trading Studio 启动中... HOST=%s PORT=%s", HOST, PORT)
|
||
app = create_fastapi_app()
|
||
uvicorn.run(
|
||
app,
|
||
host=HOST,
|
||
port=PORT,
|
||
log_level="info",
|
||
access_log=True,
|
||
)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|