Add pipeline code

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Grok Bot
2026-10-17 15:27:14 -05:00
parent 3cd5a4c658
commit 5f0e2a9768
21 changed files with 1612 additions and 0 deletions
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"""Voice client: script segments -> wav pieces, via an OpenAI-compatible /v1/audio/speech endpoint (URL in settings).
Pieces are sentence-sized. Output goes to scratch (work_dir), with a manifest the assembler reads."""
import json
import os
import re
import urllib.request
import bookio
import settings
ABBREV = re.compile(r"^(Dr|Mr|Mrs|Ms|St|Mt|Jr|Sr|vs|[A-Z])\.$")
def sentences(text):
"""Split at . ! ? (optionally followed by a quote) and a space, but not after abbreviations like 'Dr.' or 'E.'."""
out, start = [], 0
for m in re.finditer(r"[.!?][\"']?\s+", text):
before = text[start:m.start() + 1].split()[-1] if text[start:m.start() + 1].split() else ""
if ABBREV.match(before):
continue
out.append(text[start:m.end()].strip())
start = m.end()
if text[start:].strip():
out.append(text[start:].strip())
return out
def pieces(text, max_chars):
"""Pack whole sentences into pieces of at most max_chars (a longer sentence stays whole)."""
out, cur = [], ""
for s in sentences(text):
if cur and len(cur) + 1 + len(s) > max_chars:
out.append(cur)
cur = s
else:
cur = (cur + " " + s).strip()
if cur:
out.append(cur)
return out
def plan(cfg, segs):
"""Ordered items: {'text', 'gap_after_s'} for speech, {'cue': 'chime', 'gap_after_s'} for cues."""
v = cfg["voice"]
items = []
for s in segs:
if s["kind"] == "cue":
items.append({"cue": "chime", "gap_after_s": v["gap_sentence_s"]})
continue
ps = pieces(s["text"], v["max_chunk_chars"])
for i, p in enumerate(ps):
items.append({"text": p, "gap_after_s": v["gap_paragraph_s"] if i == len(ps) - 1 else v["gap_sentence_s"]})
return items
def speak(cfg, text):
v = cfg["voice"]
body = {"model": v["model"], "input": text, "voice": v["voice"], "response_format": "wav"}
body.update(v.get("extra") or {})
req = urllib.request.Request(v["endpoint"], json.dumps(body).encode(), {"Content-Type": "application/json"})
with urllib.request.urlopen(req, timeout=v["timeout_s"]) as r:
data = r.read()
if data[:4] != b"RIFF":
raise RuntimeError("voice endpoint did not return a wav file")
return data
def work_dir_for(cfg, book_dir, name):
return os.path.join(settings.resolve(cfg, "work_dir"), os.path.basename(book_dir), "audio", name)
def run(cfg, book_dir, only=None):
book = bookio.read_book(book_dir)
for name in book["audio_files"]:
if only and name != only:
continue
with open(os.path.join(book_dir, "script", name + ".json"), encoding="utf-8") as f:
items = plan(cfg, json.load(f))
out = work_dir_for(cfg, book_dir, name)
os.makedirs(out, exist_ok=True)
for i, it in enumerate(items):
if "text" in it:
it["wav"] = os.path.join(out, "%04d.wav" % i)
if not os.path.exists(it["wav"]): # resume: finished pieces are kept
data = speak(cfg, it["text"])
with open(it["wav"], "wb") as f:
f.write(data)
with open(os.path.join(out, "manifest.json"), "w", encoding="utf-8") as f:
json.dump(items, f, indent=1, ensure_ascii=False)
print("%s: %d pieces" % (name, len(items)))