95 lines
3.6 KiB
Python
95 lines
3.6 KiB
Python
"""Voice client: script segments -> wav pieces, via an OpenAI-compatible /v1/audio/speech endpoint (URL in settings).
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Pieces are sentence-sized. Output goes to scratch (work_dir), with a manifest the assembler reads."""
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import json
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import os
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import re
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import urllib.request
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import bookio
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import settings
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ABBREV = re.compile(r"^(Dr|Mr|Mrs|Ms|St|Mt|Jr|Sr|vs|[A-Z])\.$")
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def sentences(text):
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"""Split at . ! ? (optionally followed by a quote) and a space, but not after abbreviations like 'Dr.' or 'E.'."""
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out, start = [], 0
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for m in re.finditer(r"[.!?][\"']?\s+", text):
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before = text[start:m.start() + 1].split()[-1] if text[start:m.start() + 1].split() else ""
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if ABBREV.match(before):
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continue
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out.append(text[start:m.end()].strip())
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start = m.end()
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if text[start:].strip():
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out.append(text[start:].strip())
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return out
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def pieces(text, max_chars):
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"""Pack whole sentences into pieces of at most max_chars (a longer sentence stays whole)."""
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out, cur = [], ""
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for s in sentences(text):
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if cur and len(cur) + 1 + len(s) > max_chars:
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out.append(cur)
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cur = s
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else:
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cur = (cur + " " + s).strip()
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if cur:
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out.append(cur)
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return out
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def plan(cfg, segs):
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"""Ordered items: {'text', 'gap_after_s'} for speech, {'cue': 'chime', 'gap_after_s'} for cues."""
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v = cfg["voice"]
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items = []
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for s in segs:
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if s["kind"] == "cue":
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items.append({"cue": "chime", "gap_after_s": v["gap_sentence_s"]})
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continue
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ps = pieces(s["text"], v["max_chunk_chars"])
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for i, p in enumerate(ps):
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items.append({"text": p, "gap_after_s": v["gap_paragraph_s"] if i == len(ps) - 1 else v["gap_sentence_s"]})
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return items
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def speak(cfg, text):
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v = cfg["voice"]
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if v.get("api") == "chatterbox_tts":
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# Native Chatterbox server route: the only one that accepts exaggeration, cfg_weight and temperature per request.
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body = {"text": text, "voice_mode": "predefined", "predefined_voice_id": v["voice"], "output_format": "wav"}
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else:
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body = {"model": v["model"], "input": text, "voice": v["voice"], "response_format": "wav"}
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body.update(v.get("extra") or {})
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req = urllib.request.Request(v["endpoint"], json.dumps(body).encode(), {"Content-Type": "application/json"})
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with urllib.request.urlopen(req, timeout=v["timeout_s"]) as r:
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data = r.read()
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if data[:4] != b"RIFF":
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raise RuntimeError("voice endpoint did not return a wav file")
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return data
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def work_dir_for(cfg, book_dir, name):
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return os.path.join(settings.resolve(cfg, "work_dir"), os.path.basename(book_dir), "audio", name)
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def run(cfg, book_dir, only=None):
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book = bookio.read_book(book_dir)
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for name in book["audio_files"]:
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if only and name != only:
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continue
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with open(os.path.join(book_dir, "script", name + ".json"), encoding="utf-8") as f:
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items = plan(cfg, json.load(f))
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out = work_dir_for(cfg, book_dir, name)
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os.makedirs(out, exist_ok=True)
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for i, it in enumerate(items):
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if "text" in it:
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it["wav"] = os.path.join(out, "%04d.wav" % i)
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if not os.path.exists(it["wav"]): # resume: finished pieces are kept
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data = speak(cfg, it["text"])
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with open(it["wav"], "wb") as f:
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f.write(data)
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with open(os.path.join(out, "manifest.json"), "w", encoding="utf-8") as f:
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json.dump(items, f, indent=1, ensure_ascii=False)
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print("%s: %d pieces" % (name, len(items)))
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