270 lines
9.1 KiB
Bash
Executable File
270 lines
9.1 KiB
Bash
Executable File
#!/bin/bash
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# 小宇宙播客转文字脚本
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# 用法: bash transcribe.sh [--polish] <小宇宙链接> [输出文件路径]
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# 环境变量: GROQ_API_KEY (必须)
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#
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# --polish: 转录后调用 Groq Llama 3.3 70B 给文稿补中文标点+合理分段
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# （Whisper 对中文标点支持较弱，开启后阅读体验显著更好）
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set -e
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POLISH=0
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while [ $# -gt 0 ]; do
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case "$1" in
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--polish) POLISH=1; shift ;;
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--) shift; break ;;
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-h|--help)
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echo "用法: bash transcribe.sh [--polish] <小宇宙链接> [输出文件路径]"
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exit 0 ;;
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--*)
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echo "未知选项: $1" >&2
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exit 1 ;;
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*) break ;;
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esac
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done
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URL="${1:?用法: bash transcribe.sh [--polish] <小宇宙链接> [输出文件路径]}"
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OUTPUT="${2:-/tmp/podcast_transcript.txt}"
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TMPDIR="/tmp/xiaoyuzhou_$$"
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# Try env var first, then agent-reach config.yaml
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if [ -z "$GROQ_API_KEY" ]; then
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CONFIG_FILE="$HOME/.agent-reach/config.yaml"
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if [ -f "$CONFIG_FILE" ]; then
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GROQ_API_KEY=$(python3 -c "import yaml; print((yaml.safe_load(open('$CONFIG_FILE')) or {}).get('groq_api_key',''))" 2>/dev/null || true)
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fi
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fi
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GROQ_API_KEY="${GROQ_API_KEY:?请设置 GROQ_API_KEY 环境变量或运行 agent-reach configure groq-key}"
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# Groq API 限制: 25MB per file
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MAX_CHUNK_SIZE_MB=20
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AUDIO_BITRATE="64k"
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cleanup() {
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rm -rf "$TMPDIR"
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}
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trap cleanup EXIT
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mkdir -p "$TMPDIR"
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echo "📻 小宇宙播客转文字"
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echo "===================="
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# Step 1: 提取音频 URL 和标题
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echo "🔍 正在解析页面..."
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PAGE=$(curl -s "$URL")
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AUDIO_URL=$(echo "$PAGE" | perl -ne 'while (/(https:\/\/media\.xyzcdn\.net\/[^"]*\.(?:m4a|mp3))/gi) { print "$1\n" }' | head -1)
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TITLE=$(echo "$PAGE" | perl -ne 'if (/"title":"([^"]*)"/) { print "$1\n"; last }' | head -1)
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if [ -z "$AUDIO_URL" ]; then
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echo "❌ 无法从页面提取音频链接"
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exit 1
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fi
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echo "📝 标题: $TITLE"
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echo "🔗 音频: $AUDIO_URL"
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# Step 2: 下载音频
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echo "⬇️ 正在下载音频..."
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EXT="${AUDIO_URL##*.}"
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curl -sL -o "$TMPDIR/original.$EXT" "$AUDIO_URL"
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FILE_SIZE=$(ls -lh "$TMPDIR/original.$EXT" | awk '{print $5}')
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echo "📦 文件大小: $FILE_SIZE"
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# Step 3: 获取时长
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DURATION=$(ffprobe -v quiet -show_entries format=duration -of csv=p=0 "$TMPDIR/original.$EXT" 2>/dev/null | cut -d. -f1)
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DURATION_MIN=$((DURATION / 60))
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DURATION_SEC=$((DURATION % 60))
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echo "⏱️ 时长: ${DURATION_MIN}分${DURATION_SEC}秒"
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# Step 4: 转为低码率单声道 MP3
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echo "🔄 正在转码..."
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ffmpeg -y -i "$TMPDIR/original.$EXT" -b:a "$AUDIO_BITRATE" -ac 1 "$TMPDIR/mono.mp3" 2>/dev/null
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MONO_SIZE=$(stat -c%s "$TMPDIR/mono.mp3" 2>/dev/null || stat -f%z "$TMPDIR/mono.mp3")
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echo "📦 转码后: $(echo "$MONO_SIZE / 1024 / 1024" | bc)MB"
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# Step 5: 按大小切片
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MAX_BYTES=$((MAX_CHUNK_SIZE_MB * 1024 * 1024))
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if [ "$MONO_SIZE" -le "$MAX_BYTES" ]; then
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# 不需要切片
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cp "$TMPDIR/mono.mp3" "$TMPDIR/chunk_0.mp3"
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NUM_CHUNKS=1
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echo "📎 无需切片"
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else
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# 计算需要几个 chunk
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NUM_CHUNKS=$(( (MONO_SIZE / MAX_BYTES) + 1 ))
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CHUNK_DURATION=$(( DURATION / NUM_CHUNKS + 10 )) # 加 10 秒缓冲
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echo "✂️ 切分为 $NUM_CHUNKS 段 (每段约 $((CHUNK_DURATION / 60)) 分钟)..."
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for i in $(seq 0 $((NUM_CHUNKS - 1))); do
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START=$((i * CHUNK_DURATION))
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ffmpeg -y -i "$TMPDIR/mono.mp3" -ss "$START" -t "$CHUNK_DURATION" -c copy "$TMPDIR/chunk_${i}.mp3" 2>/dev/null
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CHUNK_SIZE=$(ls -lh "$TMPDIR/chunk_${i}.mp3" | awk '{print $5}')
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echo " 段 $((i+1))/$NUM_CHUNKS: $CHUNK_SIZE"
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done
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fi
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# Step 6: 调用 Groq Whisper API 转录
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echo "🎙️ 正在转录 (Groq Whisper large-v3)..."
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for i in $(seq 0 $((NUM_CHUNKS - 1))); do
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echo -n " 段 $((i+1))/$NUM_CHUNKS... "
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RESPONSE=$(curl -s -w "\n%{http_code}" \
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https://api.groq.com/openai/v1/audio/transcriptions \
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-H "Authorization: Bearer $GROQ_API_KEY" \
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-F file="@$TMPDIR/chunk_${i}.mp3" \
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-F model="whisper-large-v3" \
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-F language="zh" \
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-F prompt="以下是一段中文普通话播客录音，请输出包含完整中文标点（，。？！：；“”‘’）的转写文本。" \
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-F response_format="text")
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HTTP_CODE=$(echo "$RESPONSE" | tail -1)
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BODY=$(echo "$RESPONSE" | sed '$d')
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if [ "$HTTP_CODE" != "200" ]; then
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echo "❌ API 错误 (HTTP $HTTP_CODE)"
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echo "$BODY"
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# 如果是速率限制，等待后重试
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if [ "$HTTP_CODE" = "429" ]; then
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# 从错误信息中提取等待时间，默认 120 秒
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WAIT_SEC=$(echo "$BODY" | perl -ne 'if (/in (\d+)m/) { print "$1\n"; exit }')
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WAIT_SEC=${WAIT_SEC:-2}
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WAIT_SEC=$((WAIT_SEC * 60 + 30))
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echo " ⏳ 速率限制，等待 ${WAIT_SEC} 秒后重试..."
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sleep "$WAIT_SEC"
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RESPONSE=$(curl -s -w "\n%{http_code}" \
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https://api.groq.com/openai/v1/audio/transcriptions \
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-H "Authorization: Bearer $GROQ_API_KEY" \
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-F file="@$TMPDIR/chunk_${i}.mp3" \
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-F model="whisper-large-v3" \
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-F language="zh" \
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-F prompt="以下是一段中文普通话播客录音，请输出包含完整中文标点（，。？！：；“”‘’）的转写文本。" \
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-F response_format="text")
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HTTP_CODE=$(echo "$RESPONSE" | tail -1)
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BODY=$(echo "$RESPONSE" | sed '$d')
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if [ "$HTTP_CODE" != "200" ]; then
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echo " ❌ 重试失败"
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exit 1
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fi
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else
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exit 1
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fi
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fi
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echo "$BODY" > "$TMPDIR/transcript_${i}.txt"
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CHARS=$(wc -m < "$TMPDIR/transcript_${i}.txt")
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echo "✅ ($CHARS 字)"
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done
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# Step 6.5 (可选): 用 Llama 3.3 70B 给文稿补标点+分段
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if [ "$POLISH" = "1" ]; then
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echo "✨ 正在润色（Llama 3.3 70B 加标点+分段）..."
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for i in $(seq 0 $((NUM_CHUNKS - 1))); do
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echo -n " 段 $((i+1))/$NUM_CHUNKS... "
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IN_FILE="$TMPDIR/transcript_${i}.txt" \
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OUT_FILE="$TMPDIR/polished_${i}.txt" \
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GROQ_API_KEY="$GROQ_API_KEY" \
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python3 <<'PY'
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import json, os, sys, urllib.request, urllib.error
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KEY = os.environ["GROQ_API_KEY"]
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IN = os.environ["IN_FILE"]
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OUT = os.environ["OUT_FILE"]
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MODEL = "llama-3.3-70b-versatile"
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MAX_DEPTH = 3
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PROMPT_TMPL = (
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"以下是一段中文普通话播客的语音转写片段，由于 Whisper 对中文标点支持较弱，"
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"整段几乎没有标点。请你**只做一件事**：在合适位置补充中文标点（，。！？：；），"
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"可以适度分段。\n\n"
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"**严格要求**：\n"
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"- 不得修改、删除、增加任何汉字或英文/数字\n"
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"- 不得改写、润色、总结\n"
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"- 不得添加任何解释、前言、后记\n"
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"- 直接输出加好标点+合理分段后的全文\n\n"
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"原文：\n{}"
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)
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def call_groq(text):
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body = json.dumps({
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"model": MODEL,
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"temperature": 0.2,
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"max_completion_tokens": 8192,
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"messages": [{"role": "user", "content": PROMPT_TMPL.format(text)}],
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}).encode()
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req = urllib.request.Request(
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"https://api.groq.com/openai/v1/chat/completions",
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data=body,
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headers={
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"Authorization": f"Bearer {KEY}",
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"Content-Type": "application/json",
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"User-Agent": "agent-reach-xiaoyuzhou/1.0",
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},
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)
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with urllib.request.urlopen(req, timeout=180) as r:
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resp = json.load(r)
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return (
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resp["choices"][0]["message"]["content"].strip(),
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resp["choices"][0].get("finish_reason"),
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)
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def polish(text, depth=0):
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try:
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out, fr = call_groq(text)
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except urllib.error.HTTPError as e:
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sys.stderr.write(f"polish HTTP {e.code}: {e.read().decode(errors='replace')[:200]}\n")
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return text # fallback to raw
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except Exception as e:
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sys.stderr.write(f"polish error: {e}\n")
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return text
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if fr != "length" or depth >= MAX_DEPTH:
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return out
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# 输出被截断：从中点切两半递归处理
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mid = len(text) // 2
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return polish(text[:mid], depth + 1) + polish(text[mid:], depth + 1)
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content = open(IN, encoding="utf-8").read().strip()
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result = polish(content)
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open(OUT, "w", encoding="utf-8").write(result + "\n")
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print(f"✅ ({len(result)} 字)")
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PY
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done
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fi
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# Step 7: 合并输出
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echo "📄 正在合并文字稿..."
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{
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echo "# $TITLE"
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echo ""
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echo "来源: $URL"
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echo "时长: ${DURATION_MIN}分${DURATION_SEC}秒"
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echo "转录时间: $(date '+%Y-%m-%d %H:%M')"
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if [ "$POLISH" = "1" ]; then
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echo "润色: Groq Llama 3.3 70B"
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fi
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echo ""
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echo "---"
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echo ""
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for i in $(seq 0 $((NUM_CHUNKS - 1))); do
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if [ "$POLISH" = "1" ] && [ -f "$TMPDIR/polished_${i}.txt" ]; then
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cat "$TMPDIR/polished_${i}.txt"
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else
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cat "$TMPDIR/transcript_${i}.txt"
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fi
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echo ""
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done
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} > "$OUTPUT"
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TOTAL_CHARS=$(wc -m < "$OUTPUT")
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echo ""
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echo "✅ 完成！"
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echo "📄 输出: $OUTPUT"
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echo "📊 总字数: $TOTAL_CHARS"
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echo "===================="
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