Speak Session Enhancement

import os, requests, time
EL_KEY = os.environ["ELEVENLABS_API_KEY"]
EL_BASE = "https://api.elevenlabs.io/v1"
MV = os.environ["MAVERA_API_KEY"]
MV_BASE = "https://app.mavera.io/api/v1"
MV_H = {"Authorization": f"Bearer {MV}", "Content-Type": "application/json"}
os.makedirs("speak_session_audio", exist_ok=True)
VOICE_POOL = [
    {"name": "Rachel", "id": "21m00Tcm4TlvDq8ikWAM", "type": "professional female"},
    {"name": "Drew", "id": "29vD33N1CtxCmqQRPOHJ", "type": "confident male"},
    {"name": "Clyde", "id": "2EiwWnXFnvU5JabPnv8n", "type": "warm authoritative"},
    {"name": "Domi", "id": "AZnzlk1XvdvUeBnXmlld", "type": "energetic female"},
    {"name": "Dave", "id": "CYw3kZ02Hs0563khs1Fj", "type": "casual conversational"},
]

# 1. Retrieve Mavera personas
resp = requests.get(f"{MV_BASE}/personas", headers=MV_H).json()
personas = (resp if isinstance(resp, list) else resp.get("data", []))[:5]
print(f"Personas: {len(personas)}")

# 2. Map personas to voices
mappings = []
for i, p in enumerate(personas):
    v = VOICE_POOL[i % len(VOICE_POOL)]
    mappings.append({"persona_id": p["id"], "name": p.get("name", f"Persona {i+1}"),
                     "voice_id": v["id"], "voice_name": v["name"]})
    print(f"  {p.get('name', 'N/A'):30s} → {v['name']} ({v['type']})")

TOPIC = "What makes a marketing campaign truly memorable in 2026?"
tracks = []

for m in mappings:
    # 3. Generate in-character content
    chat = requests.post(f"{MV_BASE}/mave/chat", headers=MV_H, json={
        "message": f"You are {m['name']}. Respond to this discussion topic in 3-4 sentences, "
            f"staying in character. Speak naturally as in a roundtable.\n\nTopic: {TOPIC}",
        "persona_id": m["persona_id"],
    }).json()
    content = chat.get("content", "")
    print(f"\n[{m['name']}]: {content[:120]}...")
    time.sleep(1)

    # 4. Convert to audio with matched voice
    tts = requests.post(f"{EL_BASE}/text-to-speech/{m['voice_id']}",
        headers={"xi-api-key": EL_KEY, "Content-Type": "application/json"},
        json={"text": content, "model_id": "eleven_multilingual_v2",
              "voice_settings": {"stability": 0.45, "similarity_boost": 0.75,
                                 "style": 0.4, "use_speaker_boost": True}})
    if tts.status_code == 200:
        safe = m["name"].lower().replace(" ", "-").replace(",", "")[:30]
        path = f"speak_session_audio/{safe}.mp3"
        with open(path, "wb") as f: f.write(tts.content)
        tracks.append({"persona": m["name"], "voice": m["voice_name"],
                       "size_kb": len(tts.content) // 1024, "path": path})
        print(f"  → {path} ({len(tts.content) // 1024} KB)")
    time.sleep(2)

print(f"\nTotal: {len(tracks)} tracks, {sum(t['size_kb'] for t in tracks)} KB")

import fs from "fs";

const EL_KEY = process.env.ELEVENLABS_API_KEY;
const EL_BASE = "https://api.elevenlabs.io/v1";
const MV = process.env.MAVERA_API_KEY;
const MV_BASE = "https://app.mavera.io/api/v1";
const MV_H = { Authorization: `Bearer ${MV}`, "Content-Type": "application/json" };
fs.mkdirSync("speak_session_audio", { recursive: true });

const VOICES = [
  { name: "Rachel", id: "21m00Tcm4TlvDq8ikWAM" }, { name: "Drew", id: "29vD33N1CtxCmqQRPOHJ" },
  { name: "Clyde", id: "2EiwWnXFnvU5JabPnv8n" }, { name: "Domi", id: "AZnzlk1XvdvUeBnXmlld" },
  { name: "Dave", id: "CYw3kZ02Hs0563khs1Fj" },
];

const resp = await fetch(`${MV_BASE}/personas`, { headers: MV_H }).then(r => r.json());
const personas = (Array.isArray(resp) ? resp : resp.data || []).slice(0, 5);
const mappings = personas.map((p, i) => ({
  persona_id: p.id, name: p.name || `Persona ${i + 1}`,
  voice_id: VOICES[i % VOICES.length].id, voice_name: VOICES[i % VOICES.length].name,
}));

const TOPIC = "What makes a marketing campaign truly memorable in 2026?";
const tracks = [];

for (const m of mappings) {
  const chat = await fetch(`${MV_BASE}/mave/chat`, { method: "POST", headers: MV_H,
    body: JSON.stringify({ message: `You are ${m.name}. Respond in 3-4 sentences to: ${TOPIC}`,
      persona_id: m.persona_id }),
  }).then(r => r.json());
  const content = chat.content || "";
  console.log(`[${m.name}]: ${content.slice(0, 120)}...`);
  await new Promise(r => setTimeout(r, 1000));

  const tts = await fetch(`${EL_BASE}/text-to-speech/${m.voice_id}`, { method: "POST",
    headers: { "xi-api-key": EL_KEY, "Content-Type": "application/json" },
    body: JSON.stringify({ text: content, model_id: "eleven_multilingual_v2",
      voice_settings: { stability: 0.45, similarity_boost: 0.75, style: 0.4, use_speaker_boost: true } }),
  });
  if (tts.ok) {
    const buf = Buffer.from(await tts.arrayBuffer());
    const safe = m.name.toLowerCase().replace(/[\s,]/g, "-").slice(0, 30);
    fs.writeFileSync(`speak_session_audio/${safe}.mp3`, buf);
    tracks.push({ persona: m.name, voice: m.voice_name, kb: Math.round(buf.length / 1024) });
    console.log(`  → ${safe}.mp3 (${Math.round(buf.length / 1024)} KB)`);
  }
  await new Promise(r => setTimeout(r, 2000));
}
console.log(`Total: ${tracks.length} tracks, ${tracks.reduce((s, t) => s + t.kb, 0)} KB`);