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pyannote-speaker-diarization

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bugfix

d89d79e 12 months ago

1.5 kB

	#import gradio as gr
	#gr.Interface.load("models/pyannote/speaker-diarization").launch()

	from fastapi import FastAPI, UploadFile
	from fastapi.staticfiles import StaticFiles
	from fastapi.responses import FileResponse
	from audio.audioanalyser_anglais import AudioAnalyserAnglais
	from audio.audioanalyser_diarization import AudioAnalyserDiarization
	#from datasets import load_dataset, Audio # ça c'est pour entrainer mon modele


	app = FastAPI()


	@app.get("/healthcheck")
	def healthcheck():

	#output = deepneurones(input)

	#pipeline("file.wav")
	return {"output":"OK"}
	@app.post("/stt")
	async def stt(file: str = UploadFile(...)):
	#file_content = base64.b64decode(file)
	file_content = await file.read()
	results = AudioAnalyserAnglais.stt(file_content)
	#dataset = load_dataset("PolyAI/minds14", name="en-US", split="train")

	return {"output":results}
	#app.mount("/", StaticFiles(directory="static", html=True), name="static")

	@app.post("/diarization")
	async def diarization(file: str = UploadFile(...)):
	#file_content = base64.b64decode(file)
	file_content = await file.read()
	results = AudioAnalyserDiarization.diarization(file_content)
	#dataset = load_dataset("PolyAI/minds14", name="en-US", split="train")

	return {"output":results}
	#app.mount("/", StaticFiles(directory="static", html=True), name="static")


	@app.get("/")
	def index() -> FileResponse:
	return FileResponse(path="/home/user/app/index.html", media_type="text/html")