RhymePad: phonetic rhyme scratchpad for poets & rappers

FastAPI backend with CMU-dict rhyme detection (perfect, internal,
multisyllabic slant, consonance, multi-word phrases), g2p fallback for
unknown words, rhyme/synonym lookup, draggable stanza reordering,
localStorage drafts, and synthesized beats. 19 regression tests drawn
from real verses (Wayne, Em, Kanye).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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2026-06-07 01:10:39 -04:00
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# RhymePad
A scratchpad for poets & rappers. Write in the pad; rhymes are detected
phonetically (CMU Pronouncing Dictionary) and color-coded as you type —
end rhymes, **internal rhymes**, and slant rhymes included. Comes with a
rhyme/synonym lookup, draggable stanza reordering, and synthesized beats
with adjustable tempo.
## Run
```console
$ uv run uvicorn app:app --reload
```
Then open <http://127.0.0.1:8000>.
## How rhyme detection works
- Every word is mapped to its CMU phonemes (`pronouncing`), with
lyric-friendly fallbacks (`runnin'``running`, possessives, and a
spelling heuristic for made-up words).
- **Perfect rhymes** share everything from the last stressed vowel on
(`tonight` / `light` / `flight``AY T`). These are matched anywhere
in a line — that's the internal rhyme detection.
- **Slant rhymes** share just the vowel sounds from the last stressed
vowel (`hold` / `coal`). Applied to line endings that didn't find a
perfect match.
- Same color = same sound. Underline = line-ending rhyme (the stanza's
a/b/a/b scheme); soft glow only = internal rhyme.
## API
- `POST /api/analyze` `{"text": "..."}` → token spans, rhyme groups,
per-stanza schemes
- `GET /api/lookup?word=light&mode=rhyme|near` → frequency-ranked
rhymes / near rhymes, grouped by syllable count
Synonyms come from the free [Datamuse](https://www.datamuse.com/api/)
API, client-side.
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"""RhymePad — phoneme-aware rhyme analysis for poets & rappers.
Uses the CMU Pronouncing Dictionary (via ``pronouncing``) to detect
perfect rhymes, internal rhymes, and slant (vowel) rhymes — no
spelling heuristics.
Run it: uv run uvicorn app:app --reload
"""
import re
from collections import defaultdict
from functools import lru_cache
from pathlib import Path
import pronouncing
from fastapi import FastAPI
from fastapi.staticfiles import StaticFiles
from pydantic import BaseModel
from wordfreq import zipf_frequency
app = FastAPI(title="RhymePad")
_g2p = None
def g2p_phones(word: str) -> str | None:
"""Neural grapheme-to-phoneme fallback for words the CMU dict and our
heuristics can't resolve — pronounces anything (lazily loaded)."""
global _g2p
if _g2p is None:
from g2p_en import G2p
_g2p = G2p()
phones = [p for p in _g2p(word) if re.fullmatch(r"[A-Z]+[012]?", p)]
return " ".join(phones) or None
WORD_RE = re.compile(r"[A-Za-z][A-Za-z']*")
DIGITS = re.compile(r"\d")
COLORS = 12 # matches --r0..--r11 in the stylesheet
#: function words too common to flag as internal rhymes
#: (they still count when they end a line)
STOPWORDS = frozenset(
"""i a an the and or but as at of in on is it its was were are am be been
do does did to too so no not nor that this these those with for from has
had have what when then than there here you your we he she they them his
her our us if by my em im 's t s d ll re ve
i'm i'll i'd i've it's that's you're we're they're he's she's""".split()
)
# --------------------------------------------------------------------------
# pronunciation
# --------------------------------------------------------------------------
@lru_cache(maxsize=None)
def phones_candidates(word: str) -> tuple[str, ...]:
"""Plausible pronunciations for a word: CMU dict variants, a few
lyric-friendly repairs (droppin' the g, possessives, wheee, whisps),
and for unknown words BOTH the g2p model's guess and a compound
split (heresay = here + say) — we can't know which the writer means,
so the rhyme passes get to match on any of them."""
w = word.lower().strip("'")
cands = list(pronouncing.phones_for_word(w)[:3])
if not cands and w.endswith("in"): # runnin' -> running
cands = pronouncing.phones_for_word(w + "g")[:1]
if not cands and w.endswith("'s"):
base = pronouncing.phones_for_word(w[:-2])
if base:
cands = [base[0] + " Z"]
if not cands and re.search(r"(.)\1\1", w): # wheee -> whee
for collapsed in (re.sub(r"(.)\1{2,}", r"\1\1", w),
re.sub(r"(.)\1{2,}", r"\1", w)):
opts = pronouncing.phones_for_word(collapsed)
if opts:
cands = opts[:1]
break
if not cands and w.startswith("wh"): # whisps -> wisps
cands = pronouncing.phones_for_word("w" + w[2:])[:1]
if not cands and w.endswith("s") and len(w) > 3:
base = pronouncing.phones_for_word(w[:-1]) # plural of an OOV stem
if base:
voiced = base[0].split()[-1] not in {"P", "T", "K", "F", "TH"}
cands = [base[0] + (" Z" if voiced else " S")]
if not cands:
if re.fullmatch(r"[a-z']+", w):
try:
g = g2p_phones(w)
if g:
cands.append(g)
except Exception:
pass # g2p model unavailable
if len(w) >= 6:
# creative compounds & misspellings: heresay -> here + say
for i in range(3, len(w) - 2):
a = pronouncing.phones_for_word(w[:i])
b = pronouncing.phones_for_word(w[i:])
if a and b:
cands.append(a[0] + " " + b[0])
break
return tuple(dict.fromkeys(cands))
def phones_for(word: str) -> str | None:
"""Primary pronunciation (used for slant/consonance keys)."""
cands = phones_candidates(word)
return cands[0] if cands else None
def _rime_from_phones(phones: str) -> str:
"""Everything from the last stressed vowel on, stress markers stripped.
This is the classic 'perfect rhyme' key: light/night/tonight all share AY T."""
return DIGITS.sub("", pronouncing.rhyming_part(phones))
def _tail_vowels(phones: str) -> list[str]:
"""Vowel sounds from the last stressed vowel on, stress-stripped."""
pl = phones.split()
start = 0
for i in range(len(pl) - 1, -1, -1):
if pl[i][-1] in "12":
start = i
break
return [DIGITS.sub("", p) for p in pl[start:] if p[-1].isdigit()]
def _all_vowels(phones: str) -> list[str]:
return [DIGITS.sub("", p) for p in phones.split() if p[-1].isdigit()]
def _slant_from_phones(phones: str) -> str | None:
"""Just the vowel sounds from the last stressed vowel on — the assonance
key used for slant rhymes (time/light, hold/coal)."""
return " ".join(_tail_vowels(phones)) or None
#: the schwa family — reduced vowels rappers treat as interchangeable
#: (orange = AO R *AH* N JH, door hinge = AO R HH *IH* N JH)
REDUCED = {"AH", "IH", "UH", "ER"}
ARPA_VOWELS = {"AA", "AE", "AH", "AO", "AW", "AY", "EH", "ER", "EY",
"IH", "IY", "OW", "OY", "UH", "UW"}
def founding_projections(key: str) -> dict[str, str]:
"""Project a group's FOUNDING key (the sound that formed it) into the
weaker key spaces, so later passes only attach members that match the
sound the group is actually about — never some member's other
pronunciation (that's how what's/peanuts once swallowed sleep/people)."""
out = {}
if key.startswith("p:"): # perfect rime, e.g. "AH T S"
ph = key[2:].split()
vowels = [p for p in ph if p in ARPA_VOWELS]
if vowels:
out["slant"] = "v:" + " ".join(vowels)
if len(ph) > 1 and ph[1] not in ARPA_VOWELS:
out["vc"] = "c:" + ph[0] + " " + ph[1]
else:
out["vc"] = "c:" + ph[0]
mk = _multi_key(vowels)
if mk:
out["multi"] = mk
elif key.startswith("v:"): # vowel tail
out["slant"] = key
mk = _multi_key(key[2:].split())
if mk:
out["multi"] = mk
elif key.startswith("m:"):
out["multi"] = key
elif key.startswith("c:"):
out["vc"] = key
return out
def _multi_key(vowels: list[str]) -> str | None:
"""Key for multisyllabic slant rhymes: a 2+ vowel run where the first
vowel must match exactly and later reduced vowels are merged."""
if len(vowels) < 2:
return None
return "m:" + " ".join(
[vowels[0]] + ["x" if v in REDUCED else v for v in vowels[1:]])
def _grapheme_tail(raw: str) -> str | None:
"""Spelling-based fallback key for words the CMU dict doesn't know,
so made-up words can still rhyme with each other."""
w = re.sub(r"[^a-z']", "", raw.lower())
if not w:
return None
for pat, rep in (
(r"ies$", "ee"), (r"ied$", "ide"), (r"igh", "i"),
(r"[ts]ion$", "shun"), (r"ph", "f"), (r"ck", "k"), (r"qu", "kw"),
):
w = re.sub(pat, rep, w)
if re.search(r"[^aeiou]e$", w) and len(w) > 2:
w = w[:-1]
m = re.search(r"([aeiouy]+[^aeiouy]*)$", w)
tail = m.group(1) if m else w
tail = re.sub(r"(.)\1+", r"\1", tail)
for pat, rep in (
(r"^[ae]y", "ai"), (r"^ei", "ai"), (r"^oa", "o"), (r"^ow$", "o"),
(r"^oe", "o"), (r"^ea", "ee"), (r"^ie", "ee"), (r"^oo", "u"),
(r"^ou", "ow"), (r"^ew", "u"),
):
tail = re.sub(pat, rep, tail)
return tail
def rime_keys(word: str) -> tuple[str, ...]:
"""Perfect-rhyme keys, one per candidate pronunciation."""
cands = phones_candidates(word)
if cands:
return tuple(dict.fromkeys("p:" + _rime_from_phones(p) for p in cands))
tail = _grapheme_tail(word)
return ("g:" + tail,) if tail else ()
def vc_key(word: str) -> str | None:
"""Last stressed vowel + first coda consonant — a consonance-aware
slant key, so bliss / whisps / exist all share IH S."""
phones = phones_for(word)
if not phones:
return None
pl = phones.split()
start = 0
for i in range(len(pl) - 1, -1, -1):
if pl[i][-1] in "12":
start = i
break
tail = pl[start:]
if not tail or not tail[0][-1].isdigit():
return None
key = DIGITS.sub("", tail[0])
if len(tail) > 1:
key += " " + tail[1]
return "c:" + key
def slant_key(word: str) -> str | None:
phones = phones_for(word)
if phones:
v = _slant_from_phones(phones)
return ("v:" + v) if v else None
tail = _grapheme_tail(word)
if not tail:
return None
m = re.match(r"[aeiouy]+", tail)
return "gv:" + (m.group(0) if m else tail)
# --------------------------------------------------------------------------
# analysis
# --------------------------------------------------------------------------
class Draft(BaseModel):
text: str
@app.post("/api/analyze")
def analyze(draft: Draft):
lines = draft.text.split("\n")
# stanza ids (blank-line separated)
sids: list[int | None] = []
sid, prev_blank = -1, True
for line in lines:
if not line.strip():
sids.append(None)
prev_blank = True
continue
if prev_blank:
sid += 1
prev_blank = False
sids.append(sid)
tokens = []
for i, line in enumerate(lines):
if sids[i] is None:
continue
matches = list(WORD_RE.finditer(line))
for j, m in enumerate(matches):
tokens.append({
"line": i, "start": m.start(), "end": m.end(),
"word": m.group(0), "is_end": j == len(matches) - 1,
"sid": sids[i], "gid": None, "slant": False,
})
# phrase tokens: adjacent word pairs, so multi-word rhymes can match
# single words (orange / door hinge). Anchored at the first word's
# stressed vowel; competes in the multisyllabic slant pass only.
phrases = []
line_toks = defaultdict(list)
for t in tokens:
line_toks[t["line"]].append(t)
for toks in line_toks.values():
for a, b in zip(toks, toks[1:]):
if a["word"].lower() in STOPWORDS or b["word"].lower() in STOPWORDS:
continue
pa, pb = phones_for(a["word"]), phones_for(b["word"])
if not (pa and pb):
continue
phrases.append({
"line": a["line"], "start": a["start"], "end": b["end"],
"word": a["word"].lower() + " " + b["word"].lower(),
"is_end": b["is_end"], "sid": a["sid"], "gid": None,
"slant": False, "vowels": _tail_vowels(pa) + _all_vowels(pb),
})
# pass 1: perfect rhymes (shared rime), anywhere in a line — this is
# what catches internal rhymes
by_rime = defaultdict(list)
for t in tokens:
w = t["word"].lower()
if not t["is_end"] and (w in STOPWORDS or len(w) < 2):
continue
for key in rime_keys(t["word"]):
by_rime[key].append(t)
# biggest buckets claim their tokens first, so a word with several
# candidate pronunciations joins its best-supported rhyme group.
# Each group remembers its founding key — the sound it's about.
raw_groups: list[dict] = []
claimed: set[int] = set()
for key, toks in sorted(by_rime.items(), key=lambda kv: (-len(kv[1]), kv[0])):
toks = [t for t in toks if id(t) not in claimed]
if len(toks) < 2:
continue
distinct = {t["word"].lower() for t in toks}
end_count = sum(t["is_end"] for t in toks)
if len(distinct) < 2 and end_count < 2:
continue # the same word repeated mid-line isn't a rhyme
raw_groups.append({"toks": toks, "slant": False, "key": key})
claimed.update(id(t) for t in toks)
grouped = {id(t) for g in raw_groups for t in g["toks"]}
def gmap_for(kind: str) -> dict[tuple, int]:
"""(sid, projected founding key) -> group index, for attaching."""
out: dict[tuple, int] = {}
for gi, g in enumerate(raw_groups):
k = founding_projections(g["key"]).get(kind)
if k:
for s in {t["sid"] for t in g["toks"]}:
out.setdefault((s, k), gi)
return out
def attach_or_collect(t, key, bucket, gmap):
gi = gmap.get((t["sid"], key))
if gi is not None:
raw_groups[gi]["toks"].append(t)
t["slant"] = True
grouped.add(id(t))
else:
bucket[(t["sid"], key)].append(t)
# pass 2: slant rhymes for still-unmatched line endings, per stanza.
# A leftover ending first tries to JOIN an existing group whose
# founding sound shares its vowel tail (time -> the mind/find group);
# otherwise leftovers form a new slant group among themselves.
group_by_slant = gmap_for("slant")
by_slant = defaultdict(list)
for t in tokens:
if t["is_end"] and id(t) not in grouped:
key = slant_key(t["word"])
if key:
attach_or_collect(t, key, by_slant, group_by_slant)
for (sid, key), toks in by_slant.items():
if len(toks) >= 2 and len({t["word"].lower() for t in toks}) >= 2:
raw_groups.append({"toks": toks, "slant": True, "key": key})
grouped.update(id(t) for t in toks)
# pass 3: multisyllabic slant rhymes anywhere in a line, per stanza —
# tokens sharing a 2+ vowel run from the stressed syllable on
# (placement / creation both carry EY AH; orange / door hinge both
# carry AO + schwa). Single-vowel assonance is too noisy to flag
# mid-line, so it stays end-of-line only (pass 2).
group_by_multi = gmap_for("multi")
by_multi = defaultdict(list)
for t in tokens:
if id(t) in grouped:
continue
w = t["word"].lower()
if not t["is_end"] and (w in STOPWORDS or len(w) < 2):
continue
ph = phones_for(t["word"])
key = _multi_key(_tail_vowels(ph)) if ph else None
if key:
attach_or_collect(t, key, by_multi, group_by_multi)
# a phrase only competes when no word inside it already rhymes
grouped_spans = defaultdict(list)
for t in tokens:
if id(t) in grouped:
grouped_spans[t["line"]].append((t["start"], t["end"]))
for p in phrases:
if any(s < p["end"] and p["start"] < e
for s, e in grouped_spans[p["line"]]):
continue
key = _multi_key(p["vowels"])
if key:
attach_or_collect(p, key, by_multi, group_by_multi)
for (sid, key), toks in by_multi.items():
if len(toks) >= 2 and len({t["word"].lower() for t in toks}) >= 2:
raw_groups.append({"toks": toks, "slant": True, "key": key})
grouped.update(id(t) for t in toks)
# pass 4: consonance-aware slant anywhere in a line — last stressed
# vowel + first coda consonant, so bliss / whisps / exist (IH S) group
# even though their full codas differ
group_by_vc = gmap_for("vc")
# a word inside an already-grouped phrase sits this pass out,
# so "door" doesn't fight "door hinge" for the highlight
phrase_spans = defaultdict(list)
for p in phrases:
if id(p) in grouped:
phrase_spans[p["line"]].append((p["start"], p["end"]))
by_vc = defaultdict(list)
for t in tokens:
if id(t) in grouped:
continue
if any(s < t["end"] and t["start"] < e
for s, e in phrase_spans[t["line"]]):
continue
w = t["word"].lower()
if not t["is_end"] and (w in STOPWORDS or len(w) < 2):
continue
key = vc_key(t["word"])
if key:
attach_or_collect(t, key, by_vc, group_by_vc)
for (sid, key), toks in by_vc.items():
if len(toks) >= 2 and len({t["word"].lower() for t in toks}) >= 2:
raw_groups.append({"toks": toks, "slant": True, "key": key})
# stable colors: order groups by first appearance
raw_groups.sort(key=lambda g: min((t["line"], t["start"]) for t in g["toks"]))
groups_out = []
for gid, g in enumerate(raw_groups):
for t in g["toks"]:
t["gid"] = gid
groups_out.append({"id": gid, "color": gid % COLORS, "slant": g["slant"]})
# stanza rhyme schemes from line-ending groups
# (a grouped end word wins over a grouped end phrase)
end_gid: dict[int, int] = {}
for t in [*tokens, *phrases]:
if t["is_end"] and t["gid"] is not None:
end_gid.setdefault(t["line"], t["gid"])
stanza_lines = defaultdict(list)
for i, s in enumerate(sids):
if s is not None:
stanza_lines[s].append(i)
stanzas = []
for s in sorted(stanza_lines):
letters, order = [], {}
for i in stanza_lines[s]:
gid = end_gid.get(i)
key = gid if gid is not None else f"solo:{i}"
if key not in order:
order[key] = len(order)
letters.append(order[key])
legend, seen = [], set()
for pos, i in enumerate(stanza_lines[s]):
n = letters[pos]
if n in seen:
continue
seen.add(n)
gid = end_gid.get(i)
legend.append({
"ch": chr(97 + n % 26),
"color": (gid % COLORS) if gid is not None else None,
"slant": groups_out[gid]["slant"] if gid is not None else False,
})
stanzas.append({
"lines": stanza_lines[s],
"scheme": "".join(chr(97 + n % 26) for n in letters),
"legend": legend,
})
toks_out = [
{"l": t["line"], "s": t["start"], "e": t["end"], "g": t["gid"],
"end": t["is_end"],
"slant": t["slant"] or groups_out[t["gid"]]["slant"]}
for t in [*tokens, *phrases] if t["gid"] is not None
]
return {"lines": lines, "tokens": toks_out,
"groups": groups_out, "stanzas": stanzas}
# --------------------------------------------------------------------------
# rhyme / near-rhyme lookup
# --------------------------------------------------------------------------
_slant_index: dict[str, set[str]] | None = None
def get_slant_index() -> dict[str, set[str]]:
"""vowel-tail -> words, over the whole CMU dict (built once, lazily)."""
global _slant_index
if _slant_index is None:
pronouncing.init_cmu()
idx: dict[str, set[str]] = defaultdict(set)
for w, phones in pronouncing.pronunciations:
k = _slant_from_phones(phones)
if k:
idx[k].add(w)
_slant_index = idx
return _slant_index
def _ranked(words, exclude: set[str], limit: int) -> list[dict]:
scored = []
for w in set(words):
if w in exclude or not w.isalpha():
continue
z = zipf_frequency(w, "en")
if z < 1.8: # drop cmudict junk and very rare proper nouns
continue
scored.append((z, w))
scored.sort(key=lambda t: (-t[0], t[1]))
out = []
for z, w in scored[:limit]:
ph = phones_for(w)
out.append({"word": w, "syl": pronouncing.syllable_count(ph) if ph else 0})
return out
@app.get("/api/lookup")
def lookup(word: str, mode: str = "rhyme", limit: int = 60):
w = word.strip().lower()
phones = phones_for(w)
if not phones:
return {"word": w, "mode": mode, "known": False, "words": []}
if mode == "near":
k = _slant_from_phones(phones)
perfect = set(pronouncing.rhymes(w))
cands = (get_slant_index().get(k, set()) - perfect) if k else set()
words = _ranked(cands, {w}, limit)
else:
words = _ranked(pronouncing.rhymes(w), {w}, limit)
return {"word": w, "mode": mode, "known": True, "words": words}
app.mount("/", StaticFiles(directory=Path(__file__).parent / "static",
html=True), name="static")
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[project]
name = "rhymepad"
version = "0.1.0"
description = "A scratchpad for poets & rappers — phoneme-aware rhyme-scheme detection."
requires-python = ">=3.11"
dependencies = [
"fastapi>=0.110",
"uvicorn>=0.29",
"pronouncing>=0.2",
"wordfreq>=3.0",
"g2p-en>=2.1.0",
]
[dependency-groups]
dev = [
"pytest>=9.0.3",
]
[tool.pytest.ini_options]
pythonpath = ["."]
testpaths = ["tests"]
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>RhymePad</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Fraunces:opsz,wght@9..144,400;9..144,500;9..144,600;9..144,900&family=Spline+Sans+Mono:wght@400;500;600&display=swap" rel="stylesheet">
<style>
:root {
--bg: #14110f;
--panel: #1c1916;
--panel-2: #221e1a;
--ink: #f2e9dd;
--ink-dim: #a79a89;
--line: #322c26;
--accent: #e8814a;
--accent-2: #d4a843;
/* rhyme group colors — distinct, warm-leaning, readable on dark */
--r0:#e8814a; --r1:#4ea3e8; --r2:#6fd08c; --r3:#d46fb8;
--r4:#d4a843; --r5:#9b7ce8; --r6:#e85a5a; --r7:#46cabf;
--r8:#c0d44e; --r9:#e8a0c0; --r10:#7ad4d4; --r11:#d9824e;
}
* { box-sizing: border-box; }
html, body { margin: 0; height: 100%; }
body {
background:
radial-gradient(1200px 600px at 85% -10%, rgba(232,129,74,0.10), transparent 60%),
radial-gradient(900px 500px at -10% 110%, rgba(78,163,232,0.07), transparent 55%),
var(--bg);
color: var(--ink);
font-family: 'Spline Sans Mono', monospace;
font-size: 15px;
-webkit-font-smoothing: antialiased;
}
.wrap {
display: grid;
grid-template-columns: 1fr 340px;
grid-template-rows: auto 1fr auto;
gap: 14px;
height: 100vh;
padding: 16px;
}
header {
grid-column: 1 / -1;
display: flex;
align-items: baseline;
justify-content: space-between;
border-bottom: 1px solid var(--line);
padding-bottom: 10px;
}
.brand {
font-family: 'Fraunces', serif;
font-weight: 900;
font-size: 30px;
letter-spacing: -0.02em;
color: var(--ink);
}
.brand span { color: var(--accent); }
.tagline { color: var(--ink-dim); font-size: 12px; letter-spacing: 0.04em; }
/* ---- editor side ---- */
.editor-col { display: flex; flex-direction: column; min-height: 0; gap: 10px; }
.editor-shell {
position: relative;
flex: 1;
min-height: 0;
background: var(--panel);
border: 1px solid var(--line);
border-radius: 12px;
overflow: hidden;
}
/* highlight layer + textarea share the exact same box metrics */
#highlight, #editor {
position: absolute; inset: 0;
margin: 0; border: 0;
padding: 22px 24px;
font: inherit;
line-height: 1.9;
white-space: pre-wrap;
word-wrap: break-word;
overflow-y: auto;
letter-spacing: 0;
tab-size: 4;
}
#highlight {
pointer-events: none;
color: transparent;
z-index: 1;
}
#editor {
background: transparent;
color: var(--ink);
caret-color: var(--accent);
resize: none;
z-index: 2;
outline: none;
}
#editor::placeholder { color: #5a5249; }
/* colored rhyme tokens — background tint only, so the textarea text on
top stays crisp and box metrics stay identical (no horizontal padding!) */
.rh {
border-radius: 4px;
background: color-mix(in srgb, var(--c) 15%, transparent);
}
.rh.end {
background: color-mix(in srgb, var(--c) 24%, transparent);
box-shadow: inset 0 -2px 0 0 var(--c);
}
.rh.slant.end {
box-shadow: inset 0 -2px 0 0 color-mix(in srgb, var(--c) 45%, transparent);
}
.toolbar {
display: flex; align-items: center; gap: 10px; flex-wrap: wrap;
}
.btn {
font-family: inherit; font-size: 13px;
background: var(--panel-2);
color: var(--ink);
border: 1px solid var(--line);
padding: 8px 14px;
border-radius: 8px;
cursor: pointer;
transition: all .15s;
}
.btn:hover { border-color: var(--accent); color: var(--accent); }
.btn.primary { background: var(--accent); color: #1a120c; border-color: var(--accent); font-weight: 600; }
.btn.primary:hover { filter: brightness(1.08); color: #1a120c; }
.scheme-readout {
margin-left: auto; color: var(--ink-dim); font-size: 12px;
letter-spacing: 0.15em;
}
.scheme-readout b { color: var(--accent-2); letter-spacing: 0.15em; }
.scheme-readout .offline { color: var(--r6); letter-spacing: 0.02em; }
/* ---- stanza reorder overlay ---- */
#reorderOverlay {
position: fixed; inset: 0; z-index: 50;
background: rgba(10,8,6,0.7); backdrop-filter: blur(3px);
display: flex; align-items: center; justify-content: center;
}
#reorderOverlay[hidden] { display: none; }
.reorder-box {
width: min(560px, 92vw); max-height: 80vh;
background: var(--panel); border: 1px solid var(--line); border-radius: 14px;
display: flex; flex-direction: column; overflow: hidden;
}
.reorder-box h3 {
margin: 0; padding: 16px 20px 12px;
font-family: 'Fraunces', serif; font-weight: 600; font-size: 18px;
}
.reorder-box .hint { padding: 0 20px 10px; color: var(--ink-dim); font-size: 12px; }
#stanzaList { padding: 0 16px 8px; overflow-y: auto; flex: 1; }
.stanza-card {
display: flex; align-items: center; gap: 12px;
background: var(--panel-2); border: 1px solid var(--line); border-radius: 10px;
padding: 12px 14px; margin-bottom: 8px; cursor: grab;
transition: border-color .15s, opacity .15s;
}
.stanza-card:active { cursor: grabbing; }
.stanza-card.dragging { opacity: 0.35; }
.stanza-card.drop-above { border-top: 2px solid var(--accent); }
.stanza-card.drop-below { border-bottom: 2px solid var(--accent); }
.stanza-card .grip { color: var(--ink-dim); font-size: 16px; user-select: none; }
.stanza-card .preview { flex: 1; min-width: 0; }
.stanza-card .first-line {
white-space: nowrap; overflow: hidden; text-overflow: ellipsis; font-size: 13px;
}
.stanza-card .meta-line { color: var(--ink-dim); font-size: 11px; margin-top: 3px; }
.stanza-card .scheme-badge {
color: var(--accent-2); font-size: 11px; letter-spacing: 0.18em;
text-transform: uppercase; white-space: nowrap;
}
.reorder-actions { display: flex; justify-content: flex-end; gap: 8px; padding: 12px 20px 16px; }
/* ---- side panel ---- */
aside {
background: var(--panel);
border: 1px solid var(--line);
border-radius: 12px;
display: flex; flex-direction: column;
min-height: 0;
overflow: hidden;
}
.tabs { display: flex; border-bottom: 1px solid var(--line); }
.tab {
flex: 1; padding: 12px 0; text-align: center; cursor: pointer;
font-size: 12px; letter-spacing: 0.08em; text-transform: uppercase;
color: var(--ink-dim); background: transparent; border: 0;
font-family: inherit; transition: color .15s;
}
.tab.active { color: var(--accent); box-shadow: inset 0 -2px 0 var(--accent); }
.tab:hover { color: var(--ink); }
.panel-body { padding: 16px; overflow-y: auto; flex: 1; }
.lookup-row { display: flex; gap: 8px; }
.lookup-row input {
flex: 1; font-family: inherit; font-size: 14px;
background: var(--panel-2); border: 1px solid var(--line);
color: var(--ink); padding: 9px 12px; border-radius: 8px; outline: none;
}
.lookup-row input:focus { border-color: var(--accent); }
.seg { display: flex; gap: 4px; margin: 14px 0 10px; }
.seg button {
flex: 1; font-family: inherit; font-size: 11px; letter-spacing: .04em;
background: var(--panel-2); color: var(--ink-dim); border: 1px solid var(--line);
padding: 7px 0; border-radius: 7px; cursor: pointer; text-transform: uppercase;
}
.seg button.active { color: var(--accent); border-color: var(--accent); }
.results { display: flex; flex-wrap: wrap; gap: 7px; margin-top: 6px; }
.chip {
font-size: 13px; background: var(--panel-2); border: 1px solid var(--line);
color: var(--ink); padding: 5px 10px; border-radius: 999px; cursor: pointer;
transition: all .12s;
}
.chip:hover { border-color: var(--accent); color: var(--accent); transform: translateY(-1px); }
.muted { color: var(--ink-dim); font-size: 13px; line-height: 1.6; }
.res-label { font-size:11px; text-transform:uppercase; letter-spacing:.1em; color:var(--ink-dim); margin:16px 0 4px; }
/* beats */
.beat-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 8px; }
.beat {
background: var(--panel-2); border: 1px solid var(--line); border-radius: 9px;
padding: 12px; cursor: pointer; transition: all .15s;
}
.beat:hover { border-color: var(--accent); }
.beat.playing { border-color: var(--accent); background: rgba(232,129,74,0.1); }
.beat .name { font-weight: 600; font-size: 13px; }
.beat .bpm { color: var(--ink-dim); font-size: 11px; margin-top: 2px; }
.transport { margin-top: 16px; }
.tempo-row { display:flex; align-items:center; gap:10px; margin-top: 8px; }
.tempo-row input[type=range] { flex:1; accent-color: var(--accent); }
.tempo-val { font-variant-numeric: tabular-nums; color: var(--accent-2); min-width: 64px; text-align:right; font-size:13px;}
.beat-controls { display:flex; gap:8px; margin-top:12px; }
.legend { margin-top: 14px; }
.legend-item { display:flex; align-items:center; gap:8px; font-size:12px; margin:5px 0; color: var(--ink-dim); }
.swatch { width:14px; height:14px; border-radius:4px; }
footer { grid-column: 1 / -1; }
::-webkit-scrollbar { width: 10px; height: 10px; }
::-webkit-scrollbar-thumb { background: #3a342d; border-radius: 6px; border: 2px solid var(--panel); }
</style>
</head>
<body>
<div class="wrap">
<header>
<div class="brand">Rhyme<span>Pad</span></div>
<div class="tagline">a scratchpad for poets &amp; rappers — real phonetic rhyme detection</div>
</header>
<!-- EDITOR -->
<div class="editor-col">
<div class="editor-shell">
<div id="highlight"></div>
<textarea id="editor" spellcheck="false" placeholder="Start writing. Leave a blank line between stanzas.
Rhymes are detected phonetically — line endings get the underline,
internal rhymes get the soft glow, same color = same sound.
Double-click any word to look it up on the right."></textarea>
</div>
<div class="toolbar">
<button class="btn primary" id="copyBtn">Copy to clipboard</button>
<button class="btn" id="reorderBtn">Reorder stanzas</button>
<button class="btn" id="clearBtn">Clear</button>
<button class="btn" id="sampleBtn">Load sample</button>
<div class="scheme-readout" id="schemeReadout"></div>
</div>
</div>
<!-- PANEL -->
<aside>
<div class="tabs">
<button class="tab active" data-tab="lookup">Rhymes &amp; Synonyms</button>
<button class="tab" data-tab="beats">Beats</button>
</div>
<div class="panel-body" id="tab-lookup">
<div class="lookup-row">
<input id="lookupInput" placeholder="a word…" autocomplete="off">
<button class="btn" id="lookupBtn">Go</button>
</div>
<div class="seg" id="modeSeg">
<button class="active" data-mode="rhyme">Rhymes</button>
<button data-mode="near">Near rhymes</button>
<button data-mode="syn">Synonyms</button>
</div>
<div id="lookupResults">
<p class="muted">Type a word and hit Go, or double-click a word in your draft. Click any result to insert it at the cursor.</p>
</div>
<div class="legend">
<div class="res-label">Current stanza</div>
<div id="legendBox"><p class="muted">No rhymes detected yet.</p></div>
</div>
</div>
<div class="panel-body" id="tab-beats" style="display:none">
<div class="beat-grid" id="beatGrid"></div>
<div class="transport">
<div class="tempo-row">
<span class="muted">Tempo</span>
<input type="range" id="tempo" min="60" max="180" value="90">
<span class="tempo-val" id="tempoVal">90 BPM</span>
</div>
<div class="beat-controls">
<button class="btn primary" id="playBeat">Play</button>
<button class="btn" id="stopBeat">Stop</button>
</div>
</div>
</div>
</aside>
<footer></footer>
</div>
<!-- STANZA REORDER -->
<div id="reorderOverlay" hidden>
<div class="reorder-box">
<h3>Reorder stanzas</h3>
<div class="hint">Drag cards to rearrange. Changes apply instantly.</div>
<div id="stanzaList"></div>
<div class="reorder-actions">
<button class="btn primary" id="reorderDone">Done</button>
</div>
</div>
</div>
<script>
/* ============================================================
ANALYSIS — real phonetic rhyme detection lives in the Python
backend (CMU pronouncing dictionary). We POST the draft and
get back colored token spans:
end rhymes -> underline + tint
internal -> soft tint
slant rhymes -> faded underline (shared vowel sound)
============================================================ */
const editor = document.getElementById('editor');
const highlight = document.getElementById('highlight');
const schemeReadout = document.getElementById('schemeReadout');
const COLORS = 12;
function esc(s){ return s.replace(/&/g,'&amp;').replace(/</g,'&lt;').replace(/>/g,'&gt;'); }
function debounce(fn, ms){ let t; return (...a)=>{ clearTimeout(t); t=setTimeout(()=>fn(...a), ms); }; }
let analysis = null; // last server response
let backendOk = true;
/* ---------- draft persistence — nothing gets lost on a stray refresh ---------- */
const DRAFT_KEY = 'rhymepad.draft';
editor.value = localStorage.getItem(DRAFT_KEY) || '';
function persist(){
try{ localStorage.setItem(DRAFT_KEY, editor.value); }catch(e){ /* storage full/blocked */ }
}
async function analyze(){
const text = editor.value;
try{
const r = await fetch('/api/analyze', {
method:'POST', headers:{'Content-Type':'application/json'},
body: JSON.stringify({text})
});
analysis = await r.json();
backendOk = true;
}catch(e){
backendOk = false;
}
render();
}
const analyzeSoon = debounce(analyze, 250);
function render(){
persist();
const lines = editor.value.split('\n');
const tokByLine = {};
const groupInfo = {};
if(analysis){
analysis.groups.forEach(g=>{ groupInfo[g.id] = g; });
analysis.tokens.forEach(t=>{ (tokByLine[t.l] ||= []).push(t); });
}
let html = '';
lines.forEach((line, i)=>{
// only apply spans if this line still matches what the server analyzed
const fresh = analysis && analysis.lines[i] === line;
const toks = fresh ? (tokByLine[i] || []) : [];
toks.sort((a,b)=>a.s-b.s);
let pos = 0, h = '';
toks.forEach(t=>{
const g = groupInfo[t.g]; if(!g || t.s < pos) return;
h += esc(line.slice(pos, t.s));
const cls = 'rh' + (t.end ? ' end' : '') + (t.slant ? ' slant' : '');
h += `<span class="${cls}" style="--c:var(--r${g.color % COLORS})">` + esc(line.slice(t.s, t.e)) + '</span>';
pos = t.e;
});
h += esc(line.slice(pos));
html += h + '\n';
});
highlight.innerHTML = html;
highlight.scrollTop = editor.scrollTop;
highlight.scrollLeft = editor.scrollLeft;
buildReadout();
buildLegend();
}
function caretLine(){
return editor.value.slice(0, editor.selectionStart).split('\n').length - 1;
}
function caretStanza(){
if(!analysis || !analysis.stanzas.length) return null;
const ln = caretLine();
return analysis.stanzas.find(s=>s.lines.includes(ln))
|| analysis.stanzas.findLast(s=>s.lines[0] <= ln)
|| analysis.stanzas[0];
}
function buildReadout(){
if(!backendOk){
schemeReadout.innerHTML = '<span class="offline">backend offline — run: uv run uvicorn app:app</span>';
return;
}
const st = caretStanza();
if(!st || !st.scheme){ schemeReadout.innerHTML = ''; return; }
schemeReadout.innerHTML = `stanza scheme &nbsp;<b>${st.scheme.toUpperCase().split('').join(' ')}</b>`;
}
function buildLegend(){
const box = document.getElementById('legendBox');
const st = caretStanza();
if(!st || !st.legend.length){ box.innerHTML = '<p class="muted">No rhymes detected yet.</p>'; return; }
box.innerHTML = st.legend.map(l=>{
const sw = l.color === null
? `<span class="swatch" style="background:#3a342d"></span>`
: `<span class="swatch" style="background:var(--r${l.color % COLORS})"></span>`;
const note = l.color === null ? ' — no rhyme' : (l.slant ? ' — slant' : '');
return `<div class="legend-item">${sw} ending “${l.ch}${note}</div>`;
}).join('');
}
editor.addEventListener('input', ()=>{ render(); analyzeSoon(); });
editor.addEventListener('scroll', ()=>{ highlight.scrollTop = editor.scrollTop; highlight.scrollLeft = editor.scrollLeft; });
editor.addEventListener('keyup', ()=>{ buildReadout(); buildLegend(); });
editor.addEventListener('click', ()=>{ buildReadout(); buildLegend(); });
/* ---------- double-click a word -> look it up ---------- */
editor.addEventListener('dblclick', ()=>{
const sel = editor.value.slice(editor.selectionStart, editor.selectionEnd)
.trim().replace(/[^A-Za-z']/g,'');
if(sel){ document.getElementById('lookupInput').value = sel; doLookup(); }
});
/* ---------- insert at cursor ---------- */
function insertAtCursor(word){
const s = editor.selectionStart, e = editor.selectionEnd;
const v = editor.value;
const needSpace = s > 0 && !/\s/.test(v[s-1]);
const ins = (needSpace ? ' ' : '') + word;
editor.value = v.slice(0,s) + ins + v.slice(e);
const np = s + ins.length;
editor.focus();
editor.setSelectionRange(np, np);
render();
analyzeSoon();
}
/* ============================================================
LOOKUP — rhymes & near rhymes come from our backend (CMU dict,
frequency-ranked). Synonyms come from the free Datamuse API.
============================================================ */
const modeSeg = document.getElementById('modeSeg');
let mode = 'rhyme';
modeSeg.addEventListener('click', e=>{
const b = e.target.closest('button'); if(!b) return;
[...modeSeg.children].forEach(c=>c.classList.remove('active'));
b.classList.add('active'); mode = b.dataset.mode; doLookup();
});
document.getElementById('lookupBtn').addEventListener('click', doLookup);
document.getElementById('lookupInput').addEventListener('keydown', e=>{ if(e.key==='Enter') doLookup(); });
const resultsBox = document.getElementById('lookupResults');
async function doLookup(){
const word = document.getElementById('lookupInput').value.trim();
if(!word) return;
resultsBox.innerHTML = '<p class="muted">Searching…</p>';
try{
if(mode === 'syn'){
const r = await fetch(`https://api.datamuse.com/words?rel_syn=${encodeURIComponent(word)}&ml=${encodeURIComponent(word)}&max=60`);
const data = await r.json();
renderChips(`Synonyms / related for “${esc(word)}`, data.map(d=>d.word));
}else{
const r = await fetch(`/api/lookup?word=${encodeURIComponent(word)}&mode=${mode}`);
const data = await r.json();
if(!data.known){
resultsBox.innerHTML = `<p class="muted">“${esc(word)}” isn't in the pronunciation dictionary.</p>`;
return;
}
renderBySyllable(word, data.words, mode === 'near' ? 'Near rhymes' : 'Rhymes');
}
}catch(err){
resultsBox.innerHTML = `<p class="muted">Lookup failed — is the backend running? (${esc(String(err))})</p>`;
}
}
function chipHtml(words){
return '<div class="results">' +
words.map(w=>`<span class="chip" data-w="${esc(w)}">${esc(w)}</span>`).join('') +
'</div>';
}
function wireChips(){
resultsBox.querySelectorAll('.chip').forEach(c=>{
c.addEventListener('click', ()=> insertAtCursor(c.dataset.w));
});
}
function renderChips(label, words){
if(!words.length){ resultsBox.innerHTML = '<p class="muted">No results.</p>'; return; }
resultsBox.innerHTML = `<div class="res-label">${label}</div>` + chipHtml(words.slice(0,50));
wireChips();
}
function renderBySyllable(word, items, label){
if(!items.length){ resultsBox.innerHTML = `<p class="muted">No results for “${esc(word)}”.</p>`; return; }
const bySyl = {};
items.forEach(d=>{ (bySyl[d.syl || 0] ||= []).push(d.word); });
let h = `<div class="res-label">${label} for “${esc(word)}”</div>`;
Object.keys(bySyl).sort((a,b)=>a-b).forEach(k=>{
h += `<div class="res-label">${k == 0 ? '?' : k} syllable${k == 1 ? '' : 's'}</div>` + chipHtml(bySyl[k]);
});
resultsBox.innerHTML = h;
wireChips();
}
/* ============================================================
STANZA REORDER — drag cards to rearrange blank-line-separated
stanzas; the draft updates on every drop.
============================================================ */
const overlay = document.getElementById('reorderOverlay');
const stanzaList = document.getElementById('stanzaList');
let blocks = [];
function openReorder(){
blocks = editor.value.split(/\n{2,}/).map(b=>b.trim()).filter(Boolean);
if(blocks.length < 2){ flash('reorderBtn','Need 2+ stanzas'); return; }
buildCards();
overlay.hidden = false;
}
function schemeOf(block){
if(!analysis) return '';
const first = block.split('\n')[0];
const idx = analysis.lines.indexOf(first);
if(idx < 0) return '';
const st = analysis.stanzas.find(s=>s.lines.includes(idx));
return st ? st.scheme : '';
}
function buildCards(){
stanzaList.innerHTML = '';
blocks.forEach((b, i)=>{
const lines = b.split('\n');
const card = document.createElement('div');
card.className = 'stanza-card';
card.draggable = true;
card.dataset.idx = i;
const scheme = schemeOf(b);
card.innerHTML = `
<span class="grip">⠿</span>
<span class="preview">
<div class="first-line">${esc(lines[0])}</div>
<div class="meta-line">${lines.length} line${lines.length===1?'':'s'}</div>
</span>
${scheme ? `<span class="scheme-badge">${scheme.split('').join(' ')}</span>` : ''}`;
card.addEventListener('dragstart', ()=>{ dragIdx = i; card.classList.add('dragging'); });
card.addEventListener('dragend', ()=>{ dragIdx = null; card.classList.remove('dragging'); clearDrops(); });
card.addEventListener('dragover', e=>{
e.preventDefault();
clearDrops();
const before = e.offsetY < card.offsetHeight / 2;
card.classList.add(before ? 'drop-above' : 'drop-below');
});
card.addEventListener('drop', e=>{
e.preventDefault();
if(dragIdx === null) return;
const before = e.offsetY < card.offsetHeight / 2;
let to = i + (before ? 0 : 1);
const [moved] = blocks.splice(dragIdx, 1);
if(dragIdx < to) to--;
blocks.splice(to, 0, moved);
applyBlocks();
buildCards();
});
stanzaList.appendChild(card);
});
}
let dragIdx = null;
function clearDrops(){
stanzaList.querySelectorAll('.stanza-card').forEach(c=>c.classList.remove('drop-above','drop-below'));
}
function applyBlocks(){
editor.value = blocks.join('\n\n');
render();
analyzeSoon();
}
document.getElementById('reorderBtn').addEventListener('click', openReorder);
document.getElementById('reorderDone').addEventListener('click', ()=>{ overlay.hidden = true; editor.focus(); });
overlay.addEventListener('click', e=>{ if(e.target === overlay){ overlay.hidden = true; editor.focus(); } });
document.addEventListener('keydown', e=>{ if(e.key === 'Escape' && !overlay.hidden){ overlay.hidden = true; editor.focus(); } });
/* ============================================================
COPY / CLEAR / SAMPLE
============================================================ */
document.getElementById('copyBtn').addEventListener('click', async ()=>{
try{ await navigator.clipboard.writeText(editor.value); flash('copyBtn','Copied!'); }
catch{ editor.select(); document.execCommand('copy'); flash('copyBtn','Copied!'); }
});
function flash(id,msg){
const b=document.getElementById(id); const o=b.textContent; b.textContent=msg;
setTimeout(()=>b.textContent=o,1100);
}
document.getElementById('clearBtn').addEventListener('click', ()=>{
if(editor.value.trim()){
try{ localStorage.setItem(DRAFT_KEY + '.backup', editor.value); }catch(e){}
}
editor.value=''; analysis=null; render(); analyze(); editor.focus();
});
document.getElementById('sampleBtn').addEventListener('click', ()=>{
editor.value =
`I keep the cadence tucked beneath my tongue tonight
the city hums in amber under fading light
I trace a melody that never quite takes flight
and let the silence answer everything I write
Pressure make a diamond, grind it out the coal I hold
stories that I never told, weathered and a decade old
chasing something warmer than a chain of gold
staying up till every borrowed hour is sold`;
render(); analyze(); editor.focus();
});
/* ============================================================
BEATS — Web Audio synthesized drum patterns, adjustable tempo.
No external samples; everything is generated.
============================================================ */
const tab = (name)=>{
document.querySelectorAll('.tab').forEach(t=>t.classList.toggle('active', t.dataset.tab===name));
document.getElementById('tab-lookup').style.display = name==='lookup'?'block':'none';
document.getElementById('tab-beats').style.display = name==='beats'?'block':'none';
};
document.querySelectorAll('.tab').forEach(t=> t.addEventListener('click', ()=>tab(t.dataset.tab)));
const PATTERNS = {
'Boom Bap': {bpm:90, kick:[0,6,8], snare:[4,12], hat:[0,2,4,6,8,10,12,14], swing:0.12},
'Trap': {bpm:140, kick:[0,3,7,8,11], snare:[8], hat:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15], swing:0},
'Lo-Fi': {bpm:75, kick:[0,8], snare:[4,12], hat:[2,6,10,14], swing:0.18},
'Drill': {bpm:142, kick:[0,3,6,10,11], snare:[4,12,13], hat:[0,2,4,6,8,10,12,14], swing:0.05},
'Spoken/Jazz':{bpm:96, kick:[0,10], snare:[4,12], hat:[0,3,6,9,12,15], swing:0.2},
'West Coast': {bpm:94, kick:[0,6,8,14], snare:[4,12], hat:[0,2,4,6,8,10,12,14], swing:0.08}
};
let actx=null, playing=false, schedTimer=null, current='Boom Bap', step=0, nextTime=0;
let userTempo = 90;
const beatGrid = document.getElementById('beatGrid');
Object.entries(PATTERNS).forEach(([name,p])=>{
const d=document.createElement('div'); d.className='beat'; d.dataset.name=name;
d.innerHTML = `<div class="name">${name}</div><div class="bpm">${p.bpm} BPM feel</div>`;
d.addEventListener('click', ()=>{
current=name;
document.getElementById('tempo').value = p.bpm;
setTempo(p.bpm);
if(!playing) startBeat();
document.querySelectorAll('.beat').forEach(b=>b.classList.toggle('playing', b.dataset.name===name));
});
beatGrid.appendChild(d);
});
const tempoEl = document.getElementById('tempo'), tempoVal=document.getElementById('tempoVal');
function setTempo(v){ userTempo=+v; tempoEl.value=v; tempoVal.textContent = v+' BPM'; }
tempoEl.addEventListener('input', e=> setTempo(e.target.value));
function ensureCtx(){ if(!actx) actx = new (window.AudioContext||window.webkitAudioContext)(); }
function kick(t){
const o=actx.createOscillator(), g=actx.createGain();
o.frequency.setValueAtTime(150,t); o.frequency.exponentialRampToValueAtTime(50,t+0.12);
g.gain.setValueAtTime(0.9,t); g.gain.exponentialRampToValueAtTime(0.001,t+0.18);
o.connect(g).connect(actx.destination); o.start(t); o.stop(t+0.2);
}
function snare(t){
const noise=actx.createBufferSource();
const buf=actx.createBuffer(1, actx.sampleRate*0.2, actx.sampleRate);
const d=buf.getChannelData(0); for(let i=0;i<d.length;i++) d[i]=Math.random()*2-1;
noise.buffer=buf;
const f=actx.createBiquadFilter(); f.type='highpass'; f.frequency.value=1500;
const g=actx.createGain(); g.gain.setValueAtTime(0.6,t); g.gain.exponentialRampToValueAtTime(0.001,t+0.18);
noise.connect(f).connect(g).connect(actx.destination); noise.start(t); noise.stop(t+0.2);
}
function hat(t){
const noise=actx.createBufferSource();
const buf=actx.createBuffer(1, actx.sampleRate*0.05, actx.sampleRate);
const d=buf.getChannelData(0); for(let i=0;i<d.length;i++) d[i]=Math.random()*2-1;
noise.buffer=buf;
const f=actx.createBiquadFilter(); f.type='highpass'; f.frequency.value=7000;
const g=actx.createGain(); g.gain.setValueAtTime(0.3,t); g.gain.exponentialRampToValueAtTime(0.001,t+0.05);
noise.connect(f).connect(g).connect(actx.destination); noise.start(t); noise.stop(t+0.06);
}
function scheduler(){
const p=PATTERNS[current];
const secPer16 = (60/userTempo)/4;
while(nextTime < actx.currentTime + 0.1){
const s = step % 16;
const swing = (s%2===1) ? secPer16 * (p.swing||0) : 0;
const t = nextTime + swing;
if(p.kick.includes(s)) kick(t);
if(p.snare.includes(s)) snare(t);
if(p.hat.includes(s)) hat(t);
nextTime += secPer16;
step++;
}
schedTimer = setTimeout(scheduler, 25);
}
function startBeat(){
ensureCtx(); if(actx.state==='suspended') actx.resume();
if(playing) return;
playing=true; step=0; nextTime=actx.currentTime+0.05; scheduler();
document.querySelectorAll('.beat').forEach(b=>b.classList.toggle('playing', b.dataset.name===current));
document.getElementById('playBeat').textContent='Playing…';
}
function stopBeat(){
playing=false; clearTimeout(schedTimer);
document.querySelectorAll('.beat').forEach(b=>b.classList.remove('playing'));
document.getElementById('playBeat').textContent='Play';
}
document.getElementById('playBeat').addEventListener('click', startBeat);
document.getElementById('stopBeat').addEventListener('click', stopBeat);
render();
analyze();
</script>
</body>
</html>
+192
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"""Regression suite for RhymePad's rhyme detection.
Every case here came from a real verse that exposed a gap during
development — Lil Wayne ("6 Foot 7 Foot"), Eminem ("Godzilla"),
Kanye ("Power"), and assorted hand-rolled edge cases.
"""
from collections import defaultdict
import pytest
from app import Draft, analyze, lookup
def groups(text: str) -> list[set[str]]:
"""Rhyme groups as sets of (lowercased) highlighted spans."""
res = analyze(Draft(text=text))
by_gid = defaultdict(set)
for t in res["tokens"]:
by_gid[t["g"]].add(res["lines"][t["l"]][t["s"]:t["e"]].lower())
return list(by_gid.values())
def group_with(text: str, *words: str) -> set[str]:
"""The group containing words[0]; asserts all words share it."""
for g in groups(text):
if words[0].lower() in g:
missing = {w.lower() for w in words} - g
assert not missing, f"{missing} not grouped with {words[0]!r} in {g}"
return g
pytest.fail(f"{words[0]!r} not highlighted at all")
def highlighted(text: str) -> set[str]:
gs = groups(text)
return set().union(*gs) if gs else set()
def scheme(text: str) -> str:
return analyze(Draft(text=text))["stanzas"][0]["scheme"]
# ---------------------------------------------------------------- perfect
def test_perfect_end_rhymes():
text = ("I keep the cadence tucked beneath my tongue tonight\n"
"the city hums in amber under fading light\n"
"I trace a melody that never quite takes flight\n"
"and let the silence answer everything I write")
group_with(text, "tonight", "light", "flight", "write", "quite")
assert scheme(text) == "aaaa"
def test_internal_perfect_rhymes():
text = ("no time to waste, I climb in haste and find my place\n"
"the rhythm shows, the river flows, wherever it goes")
group_with(text, "time", "climb")
group_with(text, "waste", "haste")
group_with(text, "shows", "flows", "goes")
def test_say_weigh():
group_with("say this weigh that", "say", "weigh")
def test_abab_scheme():
assert scheme("the cat\nso blue\na hat\nso true") == "abab"
# ------------------------------------------------------------------ slant
def test_end_slant_joins_existing_perfect_group():
# "time" (AY M) slant-joins the mind/find (AY N D) perfect group
text = ("the placement of creation\n"
"eternal precipice of mind\n"
"where it goes\n"
"i can't find the time")
group_with(text, "mind", "find", "time")
group_with(text, "placement", "creation")
assert scheme(text) == "abcb"
def test_kanye_hours_power():
text = ("The clock's ticking, I just count the hours\n"
"Stop tripping, I'm tripping off the power")
group_with(text, "hours", "power")
group_with(text, "ticking", "tripping")
# the multi-word pass catches the full phrase pair too
group_with(text, "clock's ticking", "stop tripping")
assert scheme(text) == "aa"
def test_reduced_vowel_merge_vodka_lasagna():
# AA + schwa, with different reduced vowels — the Wayne chain
text = ("vodka with a spritzer\n"
"real Gs move in silence like lasagna")
group_with(text, "vodka", "lasagna")
def test_consonance_bliss_exist():
# vowel + first coda consonant (IH S), full codas differ;
# "whisps" is OOV and needs the g2p model
group_with("bliss whisps in darker nights exist",
"bliss", "whisps", "exist")
# ------------------------------------------------- unknown words / repairs
def test_compound_split_heresay_neigh():
text = ("the rhythm and the gotcha of the heresay\n"
"neigh")
group_with(text, "heresay", "neigh")
def test_multiword_orange_door_hinge_porage():
text = ("an orange door hinge\n"
"porage")
group_with(text, "orange", "door hinge", "porage")
def test_cmu_variant_get_rhymes_with_hit():
# CMU's secondary pronunciation of "get" is "git"
group_with("take the hit\nthat's what you get", "hit", "get")
# ------------------------------------------------------------------ noise
def test_no_transitive_chaining():
# peanuts rhymes with what's via one pronunciation (AH T S) and with
# people via another (IY + schwa) — the two groups must stay separate
text = ("So misunderstood, but what's a world without enigma?\n"
"You niggas are gelatin, peanuts to an elephant\n"
"Sleep is the cousin, what a fuckin' family picture\n"
"People say I'm borderline crazy, sorta, kinda\n"
"Woman of my dreams, I don't sleep, so I can't find her")
whats = group_with(text, "what's", "peanuts")
assert "sleep" not in whats and "people" not in whats
sleep = group_with(text, "sleep", "people")
assert "what's" not in sleep
def test_filler_words_not_highlighted_midline():
text = ("I'm a monster and I'm heartless, I'm the king\n"
"and I'm the sting")
assert "i'm" not in highlighted(text)
group_with(text, "king", "sting")
def test_em_counts_at_line_end_only():
text = ("Fill 'em with the venom and eliminate 'em\n"
"I told 'em owls fly, I Minute Maid 'em")
assert scheme(text) == "aa" # ...ate 'em / Maid 'em
# but the mid-line 'em's stay dark
res = analyze(Draft(text=text))
em_tokens = [t for t in res["tokens"]
if res["lines"][t["l"]][t["s"]:t["e"]].lower() == "em"]
assert all(t["end"] for t in em_tokens)
def test_repeated_word_midline_is_not_a_rhyme():
assert highlighted("the fire burns the fire down") == set()
# ----------------------------------------------------------------- lookup
def test_lookup_rhymes():
words = {w["word"] for w in lookup("light", mode="rhyme")["words"]}
assert "night" in words and "tonight" in words
assert "light" not in words
def test_lookup_near_rhymes_exclude_perfect():
words = {w["word"] for w in lookup("hold", mode="near")["words"]}
assert "home" in words # shared vowel, different coda
assert "gold" not in words # perfect rhymes live in the other mode
# ------------------------------------------------------------------ shape
def test_stanzas_and_legend():
res = analyze(Draft(text="the cat\nso blue\na hat\nso true"))
(st,) = res["stanzas"]
assert st["lines"] == [0, 1, 2, 3]
a, b = st["legend"][0], st["legend"][1]
assert a["ch"] == "a" and b["ch"] == "b"
assert a["color"] is not None and b["color"] is not None
assert a["color"] != b["color"]
def test_blank_lines_split_stanzas():
res = analyze(Draft(text="the cat\na hat\n\nso blue\nso true"))
assert [s["scheme"] for s in res["stanzas"]] == ["aa", "aa"]
Generated
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