Astraea v2: auth+profiles+About-Me, documents, TTS, Twilio/SMTP missions, DV safety, conversation memory, FLUX landing

tts.py

@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+"""Astraea TTS — realistic neural voices via edge-tts (Microsoft neural, sounds human).
+Structured so a local GPU TTS (Kokoro/XTTS on the Windows box) can be swapped in later.
+"""
+import os
+import subprocess
+import sys
+import tempfile
+
+# Resolve edge-tts relative to the venv that runs this app (robust vs hardcoded paths).
+EDGE_TTS_BIN = os.path.join(os.path.dirname(sys.executable), "edge-tts")
+
+VOICES = {
+    "aria":        {"name": "en-US-AriaNeural",        "label": "Aria — confident (F)"},
+    "jenny":       {"name": "en-US-JennyNeural",       "label": "Jenny — warm (F)"},
+    "ana":         {"name": "en-US-AnaNeural",         "label": "Ana — calm (F)"},
+    "guy":         {"name": "en-US-GuyNeural",         "label": "Guy — professional (M)"},
+    "christopher": {"name": "en-US-ChristopherNeural", "label": "Christopher — deep (M)"},
+    "eric":        {"name": "en-US-EricNeural",        "label": "Eric — measured (M)"},
+}
+
+
+def synthesize(text, voice="aria", rate="-5%"):
+    v = VOICES.get(voice, VOICES["aria"])["name"]
+    text = text.replace("\n", " ").replace("  ", " ")[:4000]
+    out = tempfile.NamedTemporaryFile(suffix=".mp3", delete=False).name
+    subprocess.run([EDGE_TTS_BIN, "--voice", v, f"--rate={rate}", "--text", text,
+                    "--write-media", out], capture_output=True, timeout=60, check=True)
+    return out
+
+
+def list_voices():
+    return [{"id": k, "label": v["label"]} for k, v in VOICES.items()]