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import subprocess
import tempfile
import uuid
from typing import Optional, List
import requests
from fastapi import FastAPI, HTTPException, BackgroundTasks
from fastapi.responses import FileResponse
from pydantic import BaseModel
app = FastAPI(title="Piper + FFmpeg (Single App)")
# Cache voice models locally (HF storage is ephemeral; cache reduces repeat downloads)
MODEL_DIR = os.getenv("MODEL_DIR", "/tmp/piper_models")
os.makedirs(MODEL_DIR, exist_ok=True)
# -----------------------------
# English-only voice catalog
# -----------------------------
VOICE_CATALOG = {
"en_US-amy": {
"onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/amy/medium/en_US-amy-medium.onnx",
"json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/amy/medium/en_US-amy-medium.onnx.json",
},
"en_US-ryan": {
"onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/ryan/medium/en_US-ryan-medium.onnx",
"json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/ryan/medium/en_US-ryan-medium.onnx.json",
},
"en_GB-alan": {
"onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_GB/alan/medium/en_GB-alan-medium.onnx",
"json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_GB/alan/medium/en_GB-alan-medium.onnx.json",
},
"en_GB-sarah": {
"onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_GB/sarah/medium/en_GB-sarah-medium.onnx",
"json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_GB/sarah/medium/en_GB-sarah-medium.onnx.json",
},
"en_AU-nat": {
"onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_AU/nat/medium/en_AU-nat-medium.onnx",
"json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_AU/nat/medium/en_AU-nat-medium.onnx.json",
},
"en_US-joe": {
"onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/joe/medium/en_US-joe-medium.onnx",
"json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/joe/medium/en_US-joe-medium.onnx.json",
},
"en_US-kathleen": {
"onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/kathleen/medium/en_US-kathleen-medium.onnx",
"json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/kathleen/medium/en_US-kathleen-medium.onnx.json",
},
"en_US-danny": {
"onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/danny/medium/en_US-danny-medium.onnx",
"json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/danny/medium/en_US-danny-medium.onnx.json",
},
"en_GB-jenny": {
"onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_GB/jenny/medium/en_GB-jenny-medium.onnx",
"json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_GB/jenny/medium/en_GB-jenny-medium.onnx.json",
},
"en_US-lessac": {
"onnx": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/lessac/medium/en_US-lessac-medium.onnx",
"json": "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/lessac/medium/en_US-lessac-medium.onnx.json",
},
}
def _download(url: str, path: str, timeout: int = 180):
r = requests.get(url, timeout=timeout)
r.raise_for_status()
with open(path, "wb") as f:
f.write(r.content)
def ensure_voice_model(voice_id: str) -> str:
if voice_id not in VOICE_CATALOG:
raise HTTPException(404, f"Unknown voiceId: {voice_id}")
onnx_path = os.path.join(MODEL_DIR, f"{voice_id}.onnx")
json_path = os.path.join(MODEL_DIR, f"{voice_id}.onnx.json")
if not os.path.exists(onnx_path):
_download(VOICE_CATALOG[voice_id]["onnx"], onnx_path)
if "json" in VOICE_CATALOG[voice_id] and not os.path.exists(json_path):
try:
_download(VOICE_CATALOG[voice_id]["json"], json_path)
except Exception:
pass
return onnx_path
def _cleanup_files(paths: List[str]):
for p in paths:
try:
if p and os.path.exists(p):
os.remove(p)
except Exception:
pass
# -----------------------------
# Routes
# -----------------------------
@app.get("/")
def root():
return {
"ok": True,
"service": "piper_ffmpeg",
"endpoints": ["/docs", "/health", "/voices", "/tts", "/render"]
}
@app.get("/health")
def health():
def has(cmd):
return subprocess.run(["bash", "-lc", f"command -v {cmd} >/dev/null 2>&1"]).returncode == 0
return {"ok": True, "ffmpeg": has("ffmpeg"), "piper": has("piper")}
@app.get("/voices")
def voices():
return {"voices": sorted(list(VOICE_CATALOG.keys()))}
# -----------------------------
# TTS (Piper -> mp3/wav -> returns file)
# -----------------------------
class TTSReq(BaseModel):
jobId: str
voiceId: str
text: str
format: str = "mp3" # mp3|wav
length_scale: float = 0.95
noise_scale: float = 0.75
noise_w: float = 0.80
fx: bool = True
@app.post("/tts")
def tts(req: TTSReq, background_tasks: BackgroundTasks):
if not req.text.strip():
raise HTTPException(400, "text required")
model_path = ensure_voice_model(req.voiceId)
fmt = req.format.lower().strip()
# IMPORTANT: output must NOT live inside a TemporaryDirectory that auto-deletes.
# We create stable files under /tmp and delete them AFTER response is sent.
uid = uuid.uuid4().hex
wav_path = f"/tmp/tts_{req.jobId}_{uid}.wav"
mp3_path = f"/tmp/tts_{req.jobId}_{uid}.mp3"
# 1) Piper outputs WAV
p = subprocess.run(
["piper", "--model", model_path, "--output_file", wav_path],
input=req.text,
text=True,
capture_output=True
)
if p.returncode != 0:
_cleanup_files([wav_path, mp3_path])
raise HTTPException(500, f"piper failed: {p.stderr[-1500:]}")
# 2) Optionally convert
if fmt == "wav":
out_path = wav_path
media_type = "audio/wav"
filename = f"{req.jobId}_{req.voiceId}.wav"
cleanup = [wav_path] # delete after send
elif fmt == "mp3":
c = subprocess.run(
["ffmpeg", "-y", "-i", wav_path, "-codec:a", "libmp3lame", "-q:a", "3", mp3_path],
capture_output=True,
text=True
)
if c.returncode != 0 or not os.path.exists(mp3_path):
_cleanup_files([wav_path, mp3_path])
raise HTTPException(500, f"ffmpeg mp3 convert failed: {c.stderr[-1500:]}")
out_path = mp3_path
media_type = "audio/mpeg"
filename = f"{req.jobId}_{req.voiceId}.mp3"
cleanup = [wav_path, mp3_path] # delete after send
else:
_cleanup_files([wav_path, mp3_path])
raise HTTPException(400, "format must be mp3 or wav")
background_tasks.add_task(_cleanup_files, cleanup)
return FileResponse(path=out_path, media_type=media_type, filename=filename)
# -----------------------------
# Render (FFmpeg “wonders” -> returns mp4)
# -----------------------------
class RenderReq(BaseModel):
jobId: str
preset: str = "shorts_hypercut" # shorts_hypercut|story_cinematic|facts_clean
clipUrls: List[str]
voiceUrl: Optional[str] = None
srt: Optional[str] = None # optional captions
@app.post("/render")
def render(req: RenderReq, background_tasks: BackgroundTasks):
if not req.clipUrls:
raise HTTPException(400, "clipUrls required")
uid = uuid.uuid4().hex
work_dir = f"/tmp/render_{req.jobId}_{uid}"
os.makedirs(work_dir, exist_ok=True)
clips_dir = os.path.join(work_dir, "clips")
os.makedirs(clips_dir, exist_ok=True)
concat_txt = os.path.join(work_dir, "concat.txt")
merged = os.path.join(work_dir, "merged.mp4")
final_mp4 = os.path.join(work_dir, f"final_{req.preset}.mp4")
try:
# Download clips
with open(concat_txt, "w") as f:
for i, url in enumerate(req.clipUrls):
p = os.path.join(clips_dir, f"clip_{i}.mp4")
r = requests.get(url, timeout=120)
r.raise_for_status()
with open(p, "wb") as w:
w.write(r.content)
f.write(f"file '{p}'\n")
# concat with fallback
r1 = subprocess.run(
["ffmpeg", "-y", "-f", "concat", "-safe", "0", "-i", concat_txt, "-c", "copy", merged],
capture_output=True, text=True
)
if r1.returncode != 0:
r2 = subprocess.run(
["ffmpeg", "-y", "-f", "concat", "-safe", "0", "-i", concat_txt,
"-c:v", "libx264", "-crf", "19", "-preset", "veryfast",
"-c:a", "aac", "-b:a", "128k", merged],
capture_output=True, text=True
)
if r2.returncode != 0:
raise HTTPException(500, f"concat failed: {r2.stderr[-1500:]}")
# Caption file (optional)
srt_path = None
if req.srt:
srt_path = os.path.join(work_dir, "captions.srt")
with open(srt_path, "w", encoding="utf-8") as w:
w.write(req.srt)
# Filter stack
vf = "scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,setsar=1,eq=contrast=1.08:saturation=1.12,unsharp=5:5:0.7:5:5:0.0,fps=30"
if req.preset == "story_cinematic":
vf += ",vignette=PI/6,eq=contrast=1.10:saturation=1.05"
elif req.preset == "facts_clean":
vf += ",eq=contrast=1.06:saturation=1.06"
if srt_path:
vf += f",subtitles={srt_path}:force_style='FontName=Arial,FontSize=20,Outline=3,Shadow=1,Alignment=2'"
if req.voiceUrl:
voice_path = os.path.join(work_dir, "voice.mp3")
vr = requests.get(req.voiceUrl, timeout=120)
vr.raise_for_status()
with open(voice_path, "wb") as w:
w.write(vr.content)
cmd = [
"ffmpeg", "-y", "-i", merged, "-i", voice_path,
"-filter_complex", f"[0:v]{vf}[v];[1:a]loudnorm=I=-16:TP=-1.5:LRA=11[a]",
"-map", "[v]", "-map", "[a]",
"-shortest", "-movflags", "+faststart", "-pix_fmt", "yuv420p",
final_mp4
]
else:
cmd = ["ffmpeg", "-y", "-i", merged, "-vf", vf, "-movflags", "+faststart", "-pix_fmt", "yuv420p", final_mp4]
rr = subprocess.run(cmd, capture_output=True, text=True)
if rr.returncode != 0 or not os.path.exists(final_mp4):
raise HTTPException(500, f"render failed: {rr.stderr[-1500:]}")
# cleanup AFTER response is sent
background_tasks.add_task(lambda: subprocess.run(["bash", "-lc", f"rm -rf {work_dir} >/dev/null 2>&1"]))
return FileResponse(path=final_mp4, media_type="video/mp4", filename=f"{req.jobId}_{req.preset}.mp4")
except HTTPException:
# cleanup on error too
subprocess.run(["bash", "-lc", f"rm -rf {work_dir} >/dev/null 2>&1"])
raise
except Exception as e:
subprocess.run(["bash", "-lc", f"rm -rf {work_dir} >/dev/null 2>&1"])
raise HTTPException(500, str(e)) |