import os,shutil from fastapi import APIRouter from fastapi.encoders import jsonable_encoder from fastapi.responses import JSONResponse from fastapi import HTTPException, FastAPI, UploadFile, File, Form from restapi.mods.FileUploader import upload_file, concat_file_chunks from voice_changer.VoiceChangerManager import VoiceChangerManager UPLOAD_DIR = "upload_dir" os.makedirs(UPLOAD_DIR, exist_ok=True) MODEL_DIR = "MMVC_Trainer/logs" os.makedirs(MODEL_DIR, exist_ok=True) class MMVC_Rest_Fileuploader: def __init__(self, voiceChangerManager:VoiceChangerManager): self.voiceChangerManager = voiceChangerManager self.router = APIRouter() self.router.add_api_route("/info", self.get_info, methods=["GET"]) self.router.add_api_route("/upload_file", self.post_upload_file, methods=["POST"]) self.router.add_api_route("/concat_uploaded_file", self.post_concat_uploaded_file, methods=["POST"]) self.router.add_api_route("/set_onnx_provider", self.post_set_onnx_provider, methods=["POST"]) self.router.add_api_route("/load_model", self.post_load_model, methods=["POST"]) self.router.add_api_route("/load_model_for_train", self.post_load_model_for_train, methods=["POST"]) self.router.add_api_route("/extract_voices", self.post_extract_voices, methods=["POST"]) self.onnx_provider="" def post_upload_file(self, file: UploadFile = File(...), filename: str = Form(...)): return upload_file(UPLOAD_DIR, file, filename) def post_concat_uploaded_file(self, filename: str = Form(...), filenameChunkNum: int = Form(...)): modelFilePath = concat_file_chunks( UPLOAD_DIR, filename, filenameChunkNum, UPLOAD_DIR) return {"concat": f"{modelFilePath}"} def post_set_onnx_provider(self, provider: str = Form(...)): res = self.voiceChangerManager.set_onnx_provider(provider) json_compatible_item_data = jsonable_encoder(res) return JSONResponse(content=json_compatible_item_data) def get_info(self): info = self.voiceChangerManager.get_info() json_compatible_item_data = jsonable_encoder(info) return JSONResponse(content=json_compatible_item_data) def post_load_model( self, pyTorchModelFilename: str = Form(...), onnxModelFilename: str = Form(...), configFilename: str = Form(...) ): pyTorchModelFilePath = os.path.join(UPLOAD_DIR, pyTorchModelFilename) if pyTorchModelFilename != "-" else None onnxModelFilePath = os.path.join(UPLOAD_DIR, onnxModelFilename) if onnxModelFilename != "-" else None configFilePath = os.path.join(UPLOAD_DIR, configFilename) self.voiceChangerManager.loadModel(configFilePath, pyTorchModelFilePath, onnxModelFilePath) return {"load": f"{configFilePath}, {pyTorchModelFilePath}, {onnxModelFilePath}"} def post_load_model_for_train( self, modelGFilename: str = Form(...), modelGFilenameChunkNum: int = Form(...), modelDFilename: str = Form(...), modelDFilenameChunkNum: int = Form(...), ): modelGFilePath = concat_file_chunks( UPLOAD_DIR, modelGFilename, modelGFilenameChunkNum, MODEL_DIR) modelDFilePath = concat_file_chunks( UPLOAD_DIR, modelDFilename, modelDFilenameChunkNum, MODEL_DIR) return {"File saved": f"{modelGFilePath}, {modelDFilePath}"} def post_extract_voices( self, zipFilename: str = Form(...), zipFileChunkNum: int = Form(...), ): zipFilePath = concat_file_chunks( UPLOAD_DIR, zipFilename, zipFileChunkNum, UPLOAD_DIR) shutil.unpack_archive(zipFilePath, "MMVC_Trainer/dataset/textful/") return {"Zip file unpacked": f"{zipFilePath}"}