File size: 4,599 Bytes
fcb2b04 | 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 | from fastapi import FastAPI, File, UploadFile, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
import uvicorn
import os
import json
import tempfile
from typing import List
app = FastAPI(title="Voice API", version="1.0.0")
class VoiceModel:
def __init__(self):
self.models_dir = "./voice_models"
os.makedirs(self.models_dir, exist_ok=True)
self.voice_models = self._load_voice_models()
def _load_voice_models(self) -> dict:
"""Load available voice models from disk"""
models = {}
for filename in os.listdir(self.models_dir):
if filename.endswith('.json'):
model_name = filename.replace('.json', '')
try:
with open(os.path.join(self.models_dir, filename), 'r') as f:
model_data = json.load(f)
models[model_name] = model_data
except Exception as e:
print(f"Error loading model {model_name}: {e}")
return models
def clone_voice(self, audio_file: UploadFile, voice_name: str) -> dict:
"""Clone voice from audio sample"""
try:
# Save audio file temporarily
temp_path = os.path.join(tempfile.gettempdir(), audio_file.filename)
with open(temp_path, 'wb') as f:
f.write(audio_file.file.read())
# TODO: Implement actual voice cloning using Coqui TTS or similar
# For now, create a placeholder model
model_path = os.path.join(self.models_dir, f"{voice_name}.json")
model_data = {
"name": voice_name,
"status": "created",
"sample_file": audio_file.filename,
"sample_duration": 30, # Placeholder
"created_at": "2026-04-01T14:10:00Z"
}
with open(model_path, 'w') as f:
json.dump(model_data, f, indent=2)
# Update in-memory models
self.voice_models[voice_name] = model_data
return {
"success": True,
"voice_name": voice_name,
"message": f"Voice model '{voice_name}' created successfully"
}
except Exception as e:
raise HTTPException(status_code=500, detail=f"Voice cloning failed: {str(e)}")
def synthesize(self, text: str, voice_name: str) -> bytes:
"""Generate speech with cloned voice"""
if voice_name not in self.voice_models:
raise HTTPException(status_code=404, detail=f"Voice model '{voice_name}' not found")
try:
# TODO: Implement actual TTS synthesis using Coqui TTS or similar
# For now, return a placeholder audio file
return b"placeholder_audio_data"
except Exception as e:
raise HTTPException(status_code=500, detail=f"Text-to-speech failed: {str(e)}")
class VoiceModelResponse(BaseModel):
success: bool
voice_name: str
message: str
class SynthesizeRequest(BaseModel):
text: str
voice_name: str
class CloneRequest(BaseModel):
voice_name: str
voice_model = VoiceModel()
@app.get("/")
async def root():
return {"message": "Voice API - Stack 2.9 Integration"}
@app.get("/voices")
async def list_voices():
"""List available voice models"""
return {
"voices": list(voice_model.voice_models.keys()),
"count": len(voice_model.voice_models)
}
@app.post("/clone", response_model=VoiceModelResponse)
async def clone_voice(file: UploadFile = File(...), request: CloneRequest = None):
"""Clone voice from audio sample"""
if not request:
request = CloneRequest(voice_name="default")
result = voice_model.clone_voice(file, request.voice_name)
return result
@app.post("/synthesize")
async def synthesize_speech(request: SynthesizeRequest):
"""Generate speech with cloned voice"""
audio_data = voice_model.synthesize(request.text, request.voice_name)
return Response(content=audio_data, media_type="audio/wav")
@app.post("/synthesize_stream")
async def synthesize_stream(request: SynthesizeRequest):
"""Stream speech synthesis (placeholder)"""
# TODO: Implement streaming TTS
audio_data = voice_model.synthesize(request.text, request.voice_name)
return Response(content=audio_data, media_type="audio/wav")
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000) |