File size: 6,043 Bytes
84f6936 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 |
from fastapi import FastAPI, HTTPException, Form, BackgroundTasks
from fastapi.responses import FileResponse
from kokoro_onnx import Kokoro
import tempfile
import os
from datetime import datetime
import soundfile as sf
# ============== CONFIG ==============
MAX_CHARS = 4500 # ~5 minutes of audio (speaking rate: ~900 chars/min)
MIN_CHARS = 5
MAX_AUDIO_DURATION = 300 # 5 minutes of audio
# ============== KOKORO TTS MODEL ==============
print("🎤 Loading Kokoro TTS model...")
try:
kokoro = Kokoro("kokoro-v0_19.onnx", "voices")
print("✅ Kokoro TTS loaded successfully!")
except Exception as e:
print(f"⚠️ Kokoro not found locally. Will download on first use.")
kokoro = None
app = FastAPI(
title="Kokoro TTS API - Fast & Simple",
description="High-speed text-to-speech with emotional voices",
version="2.0"
)
@app.on_event("startup")
def startup():
global kokoro
if kokoro is None:
import urllib.request
print("📥 Downloading Kokoro TTS model files...")
# Create directory for voices
os.makedirs("voices", exist_ok=True)
# Download voices file
voices_file = "voices/voices.bin"
if not os.path.exists(voices_file):
print("Downloading voices.bin...")
urllib.request.urlretrieve(
"https://github.com/thewh1teagle/kokoro-onnx/releases/download/model-files/voices.bin",
voices_file
)
print("✅ Voices downloaded!")
# Download ONNX model
model_file = "kokoro-v0_19.onnx"
if not os.path.exists(model_file):
print("Downloading kokoro-v0_19.onnx...")
urllib.request.urlretrieve(
"https://github.com/thewh1teagle/kokoro-onnx/releases/download/model-files/kokoro-v0_19.onnx",
model_file
)
print("✅ Model downloaded!")
print("🎤 Initializing Kokoro TTS...")
kokoro = Kokoro(model_file, voices_file)
print("✅ Kokoro TTS loaded!")
# ============== HELPERS ==============
def cleanup_file(path: str):
"""Delete temporary file after response is sent"""
try:
if os.path.exists(path):
os.unlink(path)
except:
pass
def generate_speech(text: str, voice: str = "bf_isabella", speed: float = 1.0) -> str:
"""
Generate speech using Kokoro TTS
Available voices: af_heart, af_bella, am_adam, am_michael, bf_emma, bf_isabella
"""
if len(text) < MIN_CHARS:
raise ValueError(f"Text too short. Minimum {MIN_CHARS} characters.")
if len(text) > MAX_CHARS:
raise ValueError(f"Text too long. Maximum {MAX_CHARS} characters (~5 min audio).")
# Generate audio samples
samples, sample_rate = kokoro.create(
text=text,
voice=voice,
speed=speed,
lang="en-us"
)
# Save to temporary file
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
sf.write(tmp.name, samples, sample_rate)
return tmp.name
# ============== API ENDPOINTS ==============
@app.get("/")
def root():
return {
"service": "Kokoro TTS API",
"status": "running",
"model": "Kokoro-82M",
"version": "2.0",
"features": {
"speed": "10x faster than XTTS",
"voices": 6,
"max_chars": MAX_CHARS,
"emotional": True
},
"endpoints": {
"health": "/health",
"generate": "/api/generate (POST)",
"docs": "/docs"
}
}
@app.get("/health")
def health():
return {
"status": "healthy",
"model": "Kokoro TTS 82M",
"speed": "10x faster than XTTS",
"max_chars": MAX_CHARS,
"voices": ["af_heart", "af_bella", "am_adam", "am_michael", "bf_emma", "bf_isabella"]
}
@app.post("/api/generate")
async def generate_tts(
background_tasks: BackgroundTasks,
text: str = Form(..., description="Text to convert to speech"),
voice: str = Form("bf_isabella", description="Voice to use"),
speed: float = Form(1.0, description="Speech speed (0.5-2.0)")
):
"""
Generate TTS with Kokoro (Fast & Emotional)
**Performance:**
- Max audio: 5 minutes (4500 chars)
- Generation: ~20-30 seconds on CPU
- Speech rate: ~900 chars/minute
**Available Voices:**
- `af_heart`: American Female (warm)
- `af_bella`: American Female (professional)
- `am_adam`: American Male (confident)
- `am_michael`: American Male (friendly)
- `bf_emma`: British Female (elegant)
- `bf_isabella`: British Female (storytelling) ⭐ Best for long content
**Example:**
```bash
curl -X POST https://your-space.hf.space/api/generate \\
-F "text=Hello world, this is Kokoro TTS!" \\
-F "voice=bf_isabella" \\
-F "speed=1.0" \\
--output audio.wav
```
"""
try:
# Validate speed
if speed < 0.5 or speed > 2.0:
raise HTTPException(status_code=400, detail="Speed must be between 0.5 and 2.0")
# Generate speech
output_path = generate_speech(text.strip(), voice, speed)
# Schedule cleanup after response is sent
background_tasks.add_task(cleanup_file, output_path)
# Return audio file
response = FileResponse(
output_path,
media_type="audio/wav",
filename=f"kokoro_{datetime.now().strftime('%Y%m%d_%H%M%S')}.wav"
)
response.headers["X-Character-Count"] = str(len(text))
response.headers["X-Voice-Used"] = voice
return response
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except Exception as e:
raise HTTPException(status_code=500, detail=f"TTS generation failed: {str(e)}")
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=7860)
|