feat(xiaoyuzhou): Chinese punctuation prompt + optional --polish flag (#291)

Adds a punctuation-aware Whisper prompt and an optional --polish step (free Llama 3.3 70B on Groq) for Chinese podcast transcripts. Maintainer follow-up on the branch: replaced ASCII quotes that bash swallowed inside the prompt (hexdump-verified), added the same prompt to the 429-retry call, and documented --polish as optional. bash -n passes.

agent_reach/scripts/transcribe_xiaoyuzhou.sh

@@ -1,11 +1,29 @@
 #!/bin/bash
 # 小宇宙播客转文字脚本
-# 用法: bash transcribe.sh <小宇宙链接> [输出文件路径]
+# 用法: bash transcribe.sh [--polish] <小宇宙链接> [输出文件路径]
 # 环境变量: GROQ_API_KEY (必须)
+#
+# --polish: 转录后调用 Groq Llama 3.3 70B 给文稿补中文标点+合理分段
+#           （Whisper 对中文标点支持较弱，开启后阅读体验显著更好）
 
 set -e
 
-URL="${1:?用法: bash transcribe.sh <小宇宙链接> [输出文件路径]}"
+POLISH=0
+while [ $# -gt 0 ]; do
+    case "$1" in
+        --polish) POLISH=1; shift ;;
+        --) shift; break ;;
+        -h|--help)
+            echo "用法: bash transcribe.sh [--polish] <小宇宙链接> [输出文件路径]"
+            exit 0 ;;
+        --*)
+            echo "未知选项: $1" >&2
+            exit 1 ;;
+        *) break ;;
+    esac
+done
+
+URL="${1:?用法: bash transcribe.sh [--polish] <小宇宙链接> [输出文件路径]}"
 OUTPUT="${2:-/tmp/podcast_transcript.txt}"
 TMPDIR="/tmp/xiaoyuzhou_$$"
 
@@ -99,6 +117,7 @@ for i in $(seq 0 $((NUM_CHUNKS - 1))); do
         -F file="@$TMPDIR/chunk_${i}.mp3" \
         -F model="whisper-large-v3" \
         -F language="zh" \
+        -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。" \
         -F response_format="text")
     
     HTTP_CODE=$(echo "$RESPONSE" | tail -1)
@@ -122,6 +141,7 @@ for i in $(seq 0 $((NUM_CHUNKS - 1))); do
                 -F file="@$TMPDIR/chunk_${i}.mp3" \
                 -F model="whisper-large-v3" \
                 -F language="zh" \
+                -F prompt="以下是一段中文普通话播客录音，请输出包含完整中文标点（，。？！：；“”‘’）的转写文本。" \
                 -F response_format="text")
             HTTP_CODE=$(echo "$RESPONSE" | tail -1)
             BODY=$(echo "$RESPONSE" | sed '$d')
@@ -140,6 +160,81 @@ for i in $(seq 0 $((NUM_CHUNKS - 1))); do
     echo "✅ ($CHARS 字)"
 done
 
+# Step 6.5 (可选): 用 Llama 3.3 70B 给文稿补标点+分段
+if [ "$POLISH" = "1" ]; then
+    echo "✨ 正在润色（Llama 3.3 70B 加标点+分段）..."
+    for i in $(seq 0 $((NUM_CHUNKS - 1))); do
+        echo -n "   段 $((i+1))/$NUM_CHUNKS... "
+        IN_FILE="$TMPDIR/transcript_${i}.txt" \
+        OUT_FILE="$TMPDIR/polished_${i}.txt" \
+        GROQ_API_KEY="$GROQ_API_KEY" \
+        python3 <<'PY'
+import json, os, sys, urllib.request, urllib.error
+
+KEY = os.environ["GROQ_API_KEY"]
+IN = os.environ["IN_FILE"]
+OUT = os.environ["OUT_FILE"]
+
+MODEL = "llama-3.3-70b-versatile"
+MAX_DEPTH = 3
+PROMPT_TMPL = (
+    "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，"
+    "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（，。！？：；），"
+    "可以适度分段。\n\n"
+    "**严格要求**：\n"
+    "- 不得修改、删除、增加任何汉字或英文/数字\n"
+    "- 不得改写、润色、总结\n"
+    "- 不得添加任何解释、前言、后记\n"
+    "- 直接输出加好标点+合理分段后的全文\n\n"
+    "原文：\n{}"
+)
+
+def call_groq(text):
+    body = json.dumps({
+        "model": MODEL,
+        "temperature": 0.2,
+        "max_completion_tokens": 8192,
+        "messages": [{"role": "user", "content": PROMPT_TMPL.format(text)}],
+    }).encode()
+    req = urllib.request.Request(
+        "https://api.groq.com/openai/v1/chat/completions",
+        data=body,
+        headers={
+            "Authorization": f"Bearer {KEY}",
+            "Content-Type": "application/json",
+            "User-Agent": "agent-reach-xiaoyuzhou/1.0",
+        },
+    )
+    with urllib.request.urlopen(req, timeout=180) as r:
+        resp = json.load(r)
+    return (
+        resp["choices"][0]["message"]["content"].strip(),
+        resp["choices"][0].get("finish_reason"),
+    )
+
+def polish(text, depth=0):
+    try:
+        out, fr = call_groq(text)
+    except urllib.error.HTTPError as e:
+        sys.stderr.write(f"polish HTTP {e.code}: {e.read().decode(errors='replace')[:200]}\n")
+        return text  # fallback to raw
+    except Exception as e:
+        sys.stderr.write(f"polish error: {e}\n")
+        return text
+    if fr != "length" or depth >= MAX_DEPTH:
+        return out
+    # 输出被截断：从中点切两半递归处理
+    mid = len(text) // 2
+    return polish(text[:mid], depth + 1) + polish(text[mid:], depth + 1)
+
+content = open(IN, encoding="utf-8").read().strip()
+result = polish(content)
+open(OUT, "w", encoding="utf-8").write(result + "\n")
+print(f"✅ ({len(result)} 字)")
+PY
+    done
+fi
+
 # Step 7: 合并输出
 echo "📄 正在合并文字稿..."
 
@@ -149,12 +244,19 @@ echo "📄 正在合并文字稿..."
     echo "来源: $URL"
     echo "时长: ${DURATION_MIN}分${DURATION_SEC}秒"
     echo "转录时间: $(date '+%Y-%m-%d %H:%M')"
+    if [ "$POLISH" = "1" ]; then
+        echo "润色: Groq Llama 3.3 70B"
+    fi
     echo ""
     echo "---"
     echo ""
 
     for i in $(seq 0 $((NUM_CHUNKS - 1))); do
+        if [ "$POLISH" = "1" ] && [ -f "$TMPDIR/polished_${i}.txt" ]; then
+            cat "$TMPDIR/polished_${i}.txt"
+        else
             cat "$TMPDIR/transcript_${i}.txt"
+        fi
         echo ""
     done
 } > "$OUTPUT"

agent_reach/skill/references/video.md

@@ -71,13 +71,15 @@ bili rank -n 10
 
 ## 小宇宙播客 / Xiaoyuzhou Podcast
 
-### 转录单集播客
+### 转录单集播客（可选 --polish 增强标点）
 
 ```bash
-# 输出 Markdown 文件到 /tmp/
+# 输出 Markdown 文件到 /tmp/。--polish 让 Llama 3.3 70B 给文稿补中文标点+合理分段
-~/.agent-reach/tools/xiaoyuzhou/transcribe.sh "https://www.xiaoyuzhoufm.com/episode/EPISODE_ID"
+~/.agent-reach/tools/xiaoyuzhou/transcribe.sh --polish "https://www.xiaoyuzhoufm.com/episode/EPISODE_ID"
 ```
 
+> 转写 prompt 已要求 Whisper 输出中文标点；若标点效果仍不理想，可加 `--polish` 用 Groq 上免费的 Llama 3.3 70B 补标点+合理分段（9 分钟播客约多 ~7 秒）。每次转写多一轮 LLM 调用，按需使用。
+
 ### 前置要求
 
 1. **ffmpeg**: `brew install ffmpeg`