Spaces:
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import os
import logging
import tempfile
import subprocess
from pathlib import Path
import requests
import uvicorn
from fastapi import FastAPI, HTTPException, Request
from fastapi.responses import FileResponse, HTMLResponse
from fastapi.middleware.cors import CORSMiddleware
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class PiperTTSSpaces:
"""Piper TTS for Hugging Face Spaces with FastAPI"""
def __init__(self):
self.model_path = self._setup_model()
def _setup_model(self) -> str:
"""Download and setup Piper model for Spaces"""
model_dir = Path("./models")
model_dir.mkdir(exist_ok=True)
model_file = model_dir / "en_US-lessac-medium.onnx"
config_file = model_dir / "en_US-lessac-medium.onnx.json"
# Download model if not exists
if not model_file.exists():
logger.info("Downloading Piper model...")
try:
# Download model
model_url = "https://huggingface.co/rhasspy/piper-voices/resolve/v1.0.0/en/en_US/lessac/medium/en_US-lessac-medium.onnx"
response = requests.get(model_url, stream=True)
response.raise_for_status()
with open(model_file, 'wb') as f:
for chunk in response.iter_content(chunk_size=8192):
f.write(chunk)
# Download config
config_url = "https://huggingface.co/rhasspy/piper-voices/resolve/v1.0.0/en/en_US/lessac/medium/en_US-lessac-medium.onnx.json"
response = requests.get(config_url)
response.raise_for_status()
with open(config_file, 'w') as f:
f.write(response.text)
logger.info("Model downloaded successfully")
except Exception as e:
logger.error(f"Failed to download model: {e}")
raise
return str(model_file)
def synthesize_to_file(self, text: str) -> str:
"""Synthesize text to temporary WAV file"""
try:
# Create temporary file
temp_file = tempfile.NamedTemporaryFile(suffix='.wav', delete=False)
temp_file.close()
# Prepare Piper command
cmd = [
"python", "-m", "piper",
"--model", self.model_path,
"--output_file", temp_file.name
]
logger.info(f"TTS request: '{text[:50]}...'")
# Run Piper with text input
process = subprocess.run(
cmd,
input=text.encode('utf-8'),
capture_output=True,
timeout=30
)
if process.returncode != 0:
error_msg = process.stderr.decode() if process.stderr else "Unknown error"
logger.error(f"Piper failed: {error_msg}")
raise RuntimeError(f"TTS failed: {error_msg}")
return temp_file.name
except subprocess.TimeoutExpired:
logger.error("TTS generation timed out")
raise RuntimeError("TTS generation timed out")
except Exception as e:
logger.error(f"Synthesis failed: {e}")
raise
# Initialize TTS engine
logger.info("Initializing TTS engine...")
try:
tts_engine = PiperTTSSpaces()
logger.info("TTS engine initialized successfully")
except Exception as e:
logger.error(f"Failed to initialize TTS engine: {e}")
tts_engine = None
# Create FastAPI app
app = FastAPI(
title="Piper TTS API",
description="High-quality neural TTS for digital companions",
version="1.0.0"
)
# Add CORS middleware
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.get("/", response_class=HTMLResponse)
async def root():
"""Serve a simple HTML interface"""
return HTMLResponse("""
<!DOCTYPE html>
<html>
<head>
<title>ποΈ Piper TTS API</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<style>
body {
font-family: -apple-system, BlinkMacSystemFont, sans-serif;
max-width: 800px;
margin: 0 auto;
padding: 20px;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
min-height: 100vh;
color: white;
}
.container {
background: rgba(255, 255, 255, 0.1);
padding: 30px;
border-radius: 15px;
backdrop-filter: blur(10px);
box-shadow: 0 8px 32px rgba(31, 38, 135, 0.37);
}
.header { text-align: center; margin-bottom: 30px; }
.form-group { margin: 20px 0; }
label { display: block; margin-bottom: 8px; font-weight: bold; }
textarea {
width: 100%;
padding: 12px;
border: none;
border-radius: 8px;
font-size: 16px;
background: rgba(255, 255, 255, 0.9);
color: #333;
resize: vertical;
}
button {
background: #4CAF50;
color: white;
padding: 12px 24px;
border: none;
border-radius: 8px;
font-size: 16px;
cursor: pointer;
margin: 5px;
}
button:hover { background: #45a049; }
button:disabled { background: #cccccc; cursor: not-allowed; }
.status {
margin: 15px 0;
padding: 10px;
border-radius: 5px;
background: rgba(255, 255, 255, 0.1);
}
.success { background: rgba(76, 175, 80, 0.3); }
.error { background: rgba(244, 67, 54, 0.3); }
audio { width: 100%; margin: 10px 0; }
.examples {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
gap: 10px;
margin: 20px 0;
}
.example-btn {
background: rgba(255, 255, 255, 0.2);
padding: 8px 12px;
font-size: 14px;
}
.api-info {
background: rgba(0, 0, 0, 0.2);
padding: 20px;
border-radius: 10px;
margin: 20px 0;
}
code {
background: rgba(0, 0, 0, 0.3);
padding: 2px 6px;
border-radius: 4px;
font-family: monospace;
}
</style>
</head>
<body>
<div class="container">
<div class="header">
<h1>ποΈ Piper TTS API</h1>
<p>High-quality neural text-to-speech for digital companions</p>
</div>
<div class="form-group">
<label for="textInput">π¬ Enter text to convert to speech:</label>
<textarea id="textInput" rows="4" placeholder="Hello! I'm your digital companion powered by Piper TTS.">Hello! I'm your digital companion powered by Piper TTS. I can generate natural-sounding speech perfect for conversational AI applications.</textarea>
</div>
<div class="form-group">
<button onclick="generateSpeech()" id="generateBtn">π΅ Generate Speech</button>
<button onclick="clearAll()">ποΈ Clear</button>
</div>
<div class="examples">
<button class="example-btn" onclick="setExample('Hello! How can I help you today?')">Greeting</button>
<button class="example-btn" onclick="setExample('I understand your question perfectly.')">Understanding</button>
<button class="example-btn" onclick="setExample('Let me think about that for a moment.')">Thinking</button>
<button class="example-btn" onclick="setExample('Thank you for using our service!')">Thanks</button>
<button class="example-btn" onclick="setExample('Is there anything else you need help with?')">Follow-up</button>
<button class="example-btn" onclick="setExample('I apologize for any confusion.')">Apology</button>
</div>
<div id="status" class="status" style="display: none;"></div>
<audio id="audioPlayer" controls style="display: none;"></audio>
<div class="api-info">
<h3>π API Integration</h3>
<p><strong>Endpoint:</strong> <code>POST /api/tts</code></p>
<p><strong>Body:</strong> <code>{"text": "Your text here"}</code></p>
<p><strong>Response:</strong> WAV audio file</p>
<h4>Python Example:</h4>
<pre><code>import requests
response = requests.post(
"https://eshwar06-piper-tts-server.hf.space/api/tts",
json={"text": "Hello from Python!"}
)
with open("speech.wav", "wb") as f:
f.write(response.content)</code></pre>
<h4>cURL Example:</h4>
<pre><code>curl -X POST "https://eshwar06-piper-tts-server.hf.space/api/tts" \\
-H "Content-Type: application/json" \\
-d '{"text":"Hello world!"}' \\
--output speech.wav</code></pre>
</div>
</div>
<script>
function setExample(text) {
document.getElementById('textInput').value = text;
}
function clearAll() {
document.getElementById('textInput').value = '';
document.getElementById('status').style.display = 'none';
document.getElementById('audioPlayer').style.display = 'none';
}
async function generateSpeech() {
const text = document.getElementById('textInput').value;
const statusDiv = document.getElementById('status');
const audioPlayer = document.getElementById('audioPlayer');
const generateBtn = document.getElementById('generateBtn');
if (!text.trim()) {
showStatus('Please enter some text', 'error');
return;
}
generateBtn.disabled = true;
generateBtn.textContent = 'β³ Generating...';
showStatus('Generating speech, please wait...', 'info');
try {
const response = await fetch('/api/tts', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({text: text})
});
if (response.ok) {
const audioBlob = await response.blob();
const audioUrl = URL.createObjectURL(audioBlob);
audioPlayer.src = audioUrl;
audioPlayer.style.display = 'block';
showStatus('β
Speech generated successfully! Click play below.', 'success');
} else {
const errorText = await response.text();
showStatus(`β Error: ${response.status} - ${errorText}`, 'error');
}
} catch (error) {
showStatus(`β Error: ${error.message}`, 'error');
} finally {
generateBtn.disabled = false;
generateBtn.textContent = 'π΅ Generate Speech';
}
}
function showStatus(message, type) {
const statusDiv = document.getElementById('status');
statusDiv.textContent = message;
statusDiv.className = `status ${type}`;
statusDiv.style.display = 'block';
}
// Allow Enter key to generate speech
document.getElementById('textInput').addEventListener('keypress', function(e) {
if (e.key === 'Enter' && e.ctrlKey) {
generateSpeech();
}
});
</script>
</body>
</html>
""")
@app.post("/api/tts")
async def generate_tts(request: dict):
"""
Generate TTS from text
Body: {"text": "Your text here"}
Returns: WAV audio file
"""
text = request.get("text", "")
if not text or not text.strip():
raise HTTPException(status_code=400, detail="Text is required")
if len(text) > 1000:
raise HTTPException(status_code=400, detail="Text too long (max 1000 characters)")
if not tts_engine:
raise HTTPException(status_code=503, detail="TTS engine not available")
try:
audio_file = tts_engine.synthesize_to_file(text)
return FileResponse(
audio_file,
media_type="audio/wav",
filename="speech.wav",
background=lambda: os.unlink(audio_file) if os.path.exists(audio_file) else None
)
except Exception as e:
logger.error(f"TTS failed: {e}")
raise HTTPException(status_code=500, detail=str(e))
@app.get("/api/health")
async def health_check():
"""Health check endpoint"""
return {
"status": "healthy" if tts_engine else "tts_engine_unavailable",
"service": "Piper TTS",
"model_loaded": tts_engine is not None,
"version": "1.0.0"
}
@app.get("/docs-redirect")
async def docs_redirect():
"""Redirect to API docs"""
return {"message": "Visit /docs for interactive API documentation"}
# Health check for Spaces
@app.get("/health")
async def health_alias():
"""Alternative health endpoint"""
return await health_check()
if __name__ == "__main__":
# Run the FastAPI app
uvicorn.run(
app,
host="0.0.0.0",
port=7860, # Spaces default port
log_level="info"
) |