import io,time
from fastapi import FastAPI, Response
from fastapi.responses import HTMLResponse
from cosyvoice.cli.cosyvoice import CosyVoice
import torchaudio
cosyvoice = CosyVoice('pretrained_models/CosyVoice-300M-SFT')
# sft usage
print(cosyvoice.list_avaliable_spks())
app = FastAPI()
@app.get("/api/voice/tts")
async def tts(query: str, role: str):
start = time.process_time()
output = cosyvoice.inference_sft(query, role)
end = time.process_time()
print("infer time:", end-start, "seconds")
buffer = io.BytesIO()
torchaudio.save(buffer, output['tts_speech'], 22050, format="wav")
buffer.seek(0)
return Response(content=buffer.read(-1), media_type="audio/wav")
@app.get("/api/voice/roles")
async def roles():
return {"roles": cosyvoice.list_avaliable_spks()}
@app.get("/", response_class=HTMLResponse)
async def root():
return """
Api information
Get the supported tones from the Roles API first, then enter the tones and textual content in the TTS API for synthesis. Documents of API
"""