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Add speaker-labeled transcripts, favicon, host stream fix, episode page

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- Re-label all 8 episode transcripts with LUKE:/CALLER: speaker labels
  using LLM-based diarization (relabel_transcripts.py)
- Add episode.html transcript page with styled speaker labels
- Update publish_episode.py to generate speaker-labeled transcripts
  and copy to website/transcripts/ for Cloudflare Pages
- Add SVG favicon with PNG fallbacks
- Fix CPU issue: tie host audio stream to on-air toggle, not per-caller
- Update how-it-works page with post-production pipeline info
- Add transcript links to episode cards in app.js

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
tcpsyn
2026-02-11 15:19:45 -07:00
parent 4becfd2122
commit cee78b5d88
22 changed files with 2637 additions and 186 deletions
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116
publish_episode.py
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@@ -84,6 +84,94 @@ def get_auth_header():
return {"Authorization": f"Basic {credentials}"}
def label_transcript_speakers(text):
"""Add LUKE:/CALLER: speaker labels to transcript using LLM."""
import time as _time
prompt = """Insert speaker labels into this radio show transcript. The show is "Luke at the Roost". The host is LUKE. Callers call in one at a time.
CRITICAL: Output EVERY SINGLE WORD from the input. Do NOT summarize, shorten, paraphrase, or skip ANY text. The output must contain the EXACT SAME words as the input, with ONLY speaker labels and line breaks added.
At each speaker change, insert a blank line and the new speaker's label (e.g., "LUKE:" or "REGGIE:").
Speaker identification:
- LUKE is the host — he introduces callers, asks questions, does sponsor reads, opens and closes the show
- Callers are introduced by name by Luke (e.g., "let's talk to Earl", "next up Brenda")
- Use caller FIRST NAME in caps as the label
- When Luke says "Tell me about..." or asks a question, that's LUKE
- When someone responds with their story/opinion/answer, that's the CALLER
Output format — ONLY the labeled transcript with blank lines between turns. No notes, no commentary.
TRANSCRIPT:
"""
# Chunk text into ~8000 char segments
chunks = []
remaining = text
while remaining:
if len(remaining) <= 8000:
if chunks and len(remaining) < 1000:
chunks[-1] = chunks[-1] + " " + remaining
else:
chunks.append(remaining)
break
pos = remaining[:8000].rfind('. ')
if pos < 4000:
pos = remaining[:8000].rfind('? ')
if pos < 4000:
pos = remaining[:8000].rfind('! ')
if pos < 4000:
pos = 8000
chunks.append(remaining[:pos + 1].strip())
remaining = remaining[pos + 1:].strip()
labeled_parts = []
context = ""
for i, chunk in enumerate(chunks):
full_prompt = prompt + chunk
if context:
full_prompt += f"\n\nCONTEXT: The previous section ended with speaker {context}"
response = requests.post(
"https://openrouter.ai/api/v1/chat/completions",
headers={
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
"Content-Type": "application/json"
},
json={
"model": "anthropic/claude-3.5-sonnet",
"messages": [{"role": "user", "content": full_prompt}],
"max_tokens": 8192,
"temperature": 0
}
)
if response.status_code != 200:
print(f" Warning: Speaker labeling failed for chunk {i+1}, using raw text")
labeled_parts.append(chunk)
else:
content = response.json()["choices"][0]["message"]["content"].strip()
if content.startswith("```"):
content = re.sub(r'^```\w*\n?', '', content)
content = re.sub(r'\n?```$', '', content)
labeled_parts.append(content)
# Extract last speaker for context
for line in reversed(content.strip().split('\n')):
m = re.match(r'^([A-Z][A-Z\s\'-]+?):', line.strip())
if m:
context = m.group(1)
break
if i < len(chunks) - 1:
_time.sleep(0.5)
result = "\n\n".join(labeled_parts)
result = re.sub(r'\n{3,}', '\n\n', result)
# Normalize: SPEAKER:\ntext -> SPEAKER: text
result = re.sub(r'^([A-Z][A-Z\s\'-]+?):\s*\n(?!\n)', r'\1: ', result, flags=re.MULTILINE)
return result
def transcribe_audio(audio_path: str) -> dict:
"""Transcribe audio using faster-whisper with timestamps."""
print(f"[1/5] Transcribing {audio_path}...")
@@ -506,12 +594,20 @@ def main():
chapters_path = audio_path.with_suffix(".chapters.json")
save_chapters(metadata, str(chapters_path))
# Save transcript alongside episode if session data available
# Save transcript text file with LUKE:/CALLER: speaker labels
transcript_path = audio_path.with_suffix(".transcript.txt")
raw_text = transcript["full_text"]
labeled_text = label_transcript_speakers(raw_text)
with open(transcript_path, "w") as f:
f.write(labeled_text)
print(f" Transcript saved to: {transcript_path}")
# Save session transcript alongside episode if available (has speaker labels)
if session_data and session_data.get("transcript"):
transcript_path = audio_path.with_suffix(".transcript.txt")
with open(transcript_path, "w") as f:
session_transcript_path = audio_path.with_suffix(".session_transcript.txt")
with open(session_transcript_path, "w") as f:
f.write(session_data["transcript"])
print(f" Transcript saved to: {transcript_path}")
print(f" Session transcript saved to: {session_transcript_path}")
if args.dry_run:
print("\n[DRY RUN] Would publish with:")
@@ -557,6 +653,18 @@ def main():
upload_to_bunny(str(chapters_path), f"media/{chapters_key}")
uploaded_keys.add(chapters_key)
# Transcript
print(f" Uploading transcript to BunnyCDN")
upload_to_bunny(str(transcript_path), f"transcripts/{episode['slug']}.txt", "text/plain")
# Copy transcript to website dir for Cloudflare Pages
import shutil
website_transcript_dir = Path(__file__).parent / "website" / "transcripts"
website_transcript_dir.mkdir(exist_ok=True)
website_transcript_path = website_transcript_dir / f"{episode['slug']}.txt"
shutil.copy2(str(transcript_path), str(website_transcript_path))
print(f" Transcript copied to website/transcripts/")
# Step 4: Publish
episode = publish_episode(episode["id"])