purple-gold-gourd 0.1.0

Purple-Gold Gourd (紫金葫芦): absorb a creator's public voice and refine it into a chat persona.

紫金葫芦

Named after the Purple-Gold Gourd from Journey to the West: "Dare you answer me when I call your name?" Once a creator answers the call, this library rapidly draws in their public voice, transcribes it, distills it, and refines it into a chat persona.

What it does

1. Resolves a creator by name, ID, handle, or URL on Bilibili or YouTube.
2. Downloads audio only from selected videos.
3. Transcribes with FunASR SenseVoice, including timestamps and language detection, and can also ingest local audio or video files through the CLI.
4. Exports each transcript as JSON and .srt.
5. Lets you drop custom .md files into each character's documents/ folder; those files also participate in skill generation and RAG.
6. Distills a persona skill.md with a local OpenAI-compatible LLM.
7. Builds BM25 retrieval over transcript chunks and custom documents.
8. Falls back to web search when transcript evidence is too thin, and injects that material as external Background info (背景信息) instead of persona memory.
9. Automatically refreshes the skill when transcripts or custom documents in the character data folder change.
10. Optionally synthesizes replies with a TTS plugin using an automatically selected voice prompt.

Install

Prerequisites:

• Python 3.11 or newer
• ffmpeg available on your PATH or configured through FFMPEG_PATH
• An OpenAI-compatible chat endpoint for skill distillation and persona chat; the defaults target LM Studio at http://127.0.0.1:1234/v1

# Recommended: full local experience
pip install "purple-gold-gourd[full]"

# Minimal package install
pip install purple-gold-gourd

# Add the bundled FunASR speech-transcription plugin
pip install "purple-gold-gourd[speech]"

# Add Qwen3-TTS synthesis and audio playback helpers
pip install "purple-gold-gourd[tts]"

# Add Bilibili scraping support
pip install "purple-gold-gourd[bilibili]"

The main transcript-backed build flow needs the speech extra because the bundled STT plugin is FunASR. The tts extra is only needed when you want spoken replies or audio discussion output.

If you install the Bilibili extra, install a Playwright browser once:

playwright install chromium

For local development, editable installs still work:

pip install -e .
pip install -e ".[full]"

# Or use convenience requirements files
pip install -r requirements.txt
pip install -r requirements-full.txt

requirements.txt installs the local package with the core dependency set, and requirements-full.txt installs .[full]. After installation, you can use purple-gold-gourd or zijin-hulu CLI entrypoint.

Package layout

purple_gold_gourd/
  cli.py            entry point
  config.py         AppConfig
  schema.py         data classes
  utils.py          shared helpers
  language.py       language detection and normalization
  pipeline.py       build orchestrator

  plugins/
    stt/
      base.py       STT plugin interfaces
      registry.py   internal STT plugin loader/registry
      shared.py     subtitle helpers
      funasr/
        plugin.py   FunASR STT plugin
        transcriber.py
    tts/
      base.py       TTS plugin interfaces
      registry.py   internal TTS plugin loader/registry
      shared.py     voice prompt selection, playback, text prep, validation
      qwen3/
        plugin.py   Qwen3-TTS plugin
        voice.py

  media/
    platforms.py    creator resolution
    downloader.py   audio-only media download
    transcribe.py   compatibility shim to the STT plugin

  synthesis/
    voice.py        compatibility shim to TTS helpers

  chat/
    llm.py          OpenAI-compatible completion helper
    retrieval.py    BM25 retrieval + weak-RAG assessment
    web_search.py   web search fallback
    skillgen.py     persona distillation
    persona.py      chat loop

Quick start

# Auto-detect platform
purple-gold-gourd "敬汉卿"

# Force platform
purple-gold-gourd "@LinusTechTips" --platform youtube
purple-gold-gourd "208259" --platform bilibili

# Use specific ranked videos only
purple-gold-gourd "@LinusTechTips" --series 1 3 8
purple-gold-gourd "@LinusTechTips" --series 2,5,9

# Import local audio/video into an existing character
purple-gold-gourd "敬汉卿" --media D:\clips\interview.mp3 D:\clips\livestream.mp4

# Run a multi-character discussion
purple-gold-gourd discuss "敬汉卿" "马督工" --topic "Should creators rely on AI tools?" --rounds 3

# Build without opening chat
purple-gold-gourd "敬汉卿" --build-only

# Start with speech synthesis enabled
purple-gold-gourd "敬汉卿" --speak

You can also run the current module path directly:

python -m purple_gold_gourd.cli "敬汉卿"

Selection rules

• If you pass --series, only those 1-based ranked video numbers are used for RAG.
• If a requested video is missing locally, the library downloads and processes it immediately.
• If you pass --media, each local audio/video file is converted to audio first and then transcribed into the same character.
• If you do not pass --series, the library uses all cached transcripts for that creator.
• Any .md files you place under that character's documents/ folder are also used for skill generation and RAG.
• During character initialization, if files under transcripts/ or documents/ changed, the library refreshes skill.md automatically.
• On a creator's first build, when no transcripts are cached yet, it bootstraps from the top --top videos.

Chat commands

Command	Effect
/help	Show available commands
/speak on	Enable reply synthesis
/speak off	Disable reply synthesis
/rebuild	Re-download, re-transcribe, and re-distill
/calibrate <path> <start-end>	Set a new voice reference from a time slice of any audio/video file, e.g. /calibrate rec.mp4 00:10-00:20
/exit	Quit

Discussion controls

When you use discuss, the CLI does not enter a normal one-character chat loop. Instead, it runs the requested rounds directly, while still letting you use these control commands before the start and between rounds:

Command	Effect
/help	Show available discussion controls
/speak on	Enable discussion speech playback and audio saving for later turns
/speak off	Disable discussion speech playback for later turns
/exit	Stop early and keep the partial record

CLI flags

Flag	Default	Description
--platform	auto	auto, youtube, or bilibili
--top	10	Videos to process during bootstrap ranking
--scan-limit	30	Candidate videos to inspect before ranking
--series	unset	1-based ranked video numbers to use for RAG
--media	unset	Local audio/video files to import and transcribe for this character
--rebuild	off	Ignore cache and rebuild
--build-only	off	Stop after profile build
--speak	off	Enable voice synthesis from start

Discussion mode flags:

Flag	Default	Description
discuss	n/a	Multi-character discussion mode
--topic	required	Discussion topic
--rounds	3	Full discussion rounds; each character speaks once per round
--speak	off	Start the discussion with speech playback enabled

Environment overrides

Project-specific overrides use the PURPLE_GOLD_GOURD_* prefix.

Variable	Purpose
OPENAI_BASE_URL	LLM endpoint
OPENAI_API_KEY	LLM API key
OPENAI_MODEL	Preferred model name
OPENAI_MAX_CONTEXT_TOKENS	Default prompt-context budget
OPENAI_MAX_TOKENS	Default completion budget
OPENAI_MODEL_CONTEXT_TOKENS	Per-model context limits
OPENAI_MODEL_MAX_TOKENS	Per-model completion limits
PURPLE_GOLD_GOURD_STT_PLUGIN	Active STT plugin, default funasr
FUNASR_DEVICE	cuda:0 or cpu
FUNASR_MODEL	FunASR model ID
PURPLE_GOLD_GOURD_TTS_PLUGIN	Active TTS plugin, default qwen3
PURPLE_GOLD_GOURD_WEB_SEARCH	Enable guarded web search fallback
PURPLE_GOLD_GOURD_WEB_SEARCH_MAX_RESULTS	Max web results injected into prompts
PURPLE_GOLD_GOURD_WEB_SEARCH_TIMEOUT_S	Web-search timeout in seconds
PURPLE_GOLD_GOURD_VALIDATE_TTS	Validate synthesized speech by re-transcribing it when set
QWEN3_TTS_MODEL	Qwen3-TTS model id or local path
QWEN3_TTS_DEVICE_MAP	Qwen3-TTS device map
QWEN3_TTS_DTYPE	Qwen3-TTS dtype
QWEN3_TTS_ATTN_IMPLEMENTATION	Optional attention backend
QWEN3_TTS_CHUNK_CHARS	Approximate chars per TTS chunk
QWEN3_TTS_DO_SAMPLE	Enable or disable Qwen3-TTS sampling
QWEN3_TTS_MAX_NEW_TOKENS	Optional generation cap for TTS
FFMPEG_PATH	ffmpeg binary path

Data layout

data/creators/<platform>-<id>-<name>/
  manifest.json
  videos.json
  downloads/
  transcripts/
  documents/
  skill/
    skill.md
    notes/
  voice/
  outputs/

Put any custom markdown files you want the persona to use into documents/. No extra command is needed; the next character initialization will pick them up automatically and refresh the skill when needed.

Discussion records are saved separately under data/discussions/<timestamp>-<topic>/, including discussion.json, discussion.md, discussion.txt, and an audio/ folder when discussion speech is enabled.