first commit

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+
+# Node
+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/react_app/node_modules
+/.pnp
+.pnp.js
+
+# testing
+/coverage
+
+# production
+/build
+
+# misc
+.DS_Store
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# Custom
+*.wav
+/backend_temp
+/webui
+/hppnet/models

backend.py

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+import os
+from typing import Union
+import uvicorn
+from fastapi import FastAPI,UploadFile
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import HTMLResponse
+
+from pydantic import BaseModel
+
+from hppnet.hppnet_onnx import HPPNetNumpyDecoder,HPPNetOnnx
+
+class HppnetInferTask(BaseModel):
+    file_path:Union[str, None] = None
+    model_name:str
+    device:str
+    onset_t:float
+    frame_t:float
+    gpu_id:Union[str, None] = None
+
+app = FastAPI()
+app.mount("/static", StaticFiles(directory="./webui/static"), name="static")
+app.mount("/assets", StaticFiles(directory="./webui/assets"), name="assets")
+origins = [
+    "http://localhost:3000",
+]
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=origins,
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+hppnet_onnx = None # type: HPPNetOnnx
+hppnet_onnx_state = {}
+hppnet_decoder = HPPNetNumpyDecoder()
+
+@app.get("/")
+def root():
+    with open('./webui/index.html','r',encoding='utf-8') as f:
+        html_content = f.read()
+        return HTMLResponse(content=html_content, status_code=200)
+
+def check_hppnet_onnx_state_change(model_name,device,gpu_id):
+    new_state = {"model":model_name,"device":device,"gpu_id":gpu_id}
+    return not bool(new_state == hppnet_onnx_state)
+
+def init_hppnet_onnx(onset_onnx,frame_onnx,device,gpu_id):
+    global hppnet_onnx
+    if device=='gpu':
+            provider_options = [{'device_id': gpu_id}] if gpu_id else None
+            hppnet_onnx = HPPNetOnnx(onset_onnx,frame_onnx,provider_options=provider_options)
+    else:
+        hppnet_onnx = HPPNetOnnx(onset_onnx,frame_onnx,providers=['CPUExecutionProvider'])
+
+@app.get('/hppnet_models')        
+def get_available_hppnet_models():
+    return {"models":os.listdir('./hppnet/models')}
+
+@app.post('/infer_hppnet')
+def run_hppnet_infer(hppnet_infer_task:HppnetInferTask):
+    file_path=hppnet_infer_task.file_path if hppnet_infer_task.file_path else './backend_temp/temp.bin'
+    model_name=hppnet_infer_task.model_name
+    device=hppnet_infer_task.device
+    onset_t=hppnet_infer_task.onset_t
+    frame_t=hppnet_infer_task.frame_t
+    gpu_id=hppnet_infer_task.gpu_id
+    print(file_path)
+    global hppnet_onnx
+    onset_onnx = f'./hppnet/models/{model_name}/onset_subnet.onnx'
+    frame_onnx = f'./hppnet/models/{model_name}/frame_subnet.onnx'
+    output_mid = './backend_temp/temp.mid'
+    # Check if hppnet_onnx is initialised
+    if hppnet_onnx:
+        if check_hppnet_onnx_state_change(model_name,device,gpu_id):
+            del hppnet_onnx
+            init_hppnet_onnx(onset_onnx,frame_onnx,device,gpu_id)
+    else:
+        init_hppnet_onnx(onset_onnx,frame_onnx,device,gpu_id)
+    hppnet_onnx_state['model'] = model_name
+    hppnet_onnx_state['device'] = device
+    hppnet_onnx_state['gpu_id'] = gpu_id
+    # inference
+    hppnet_onnx.load_model()
+    onset,frame,velocity = hppnet_onnx.inference_audio_file(file_path)
+    hppnet_decoder.export_infer_result_to_midi(onset,frame,velocity,output_mid,onset_t,frame_t)
+    return FileResponse(output_mid,media_type='blob')
+
+@app.post("/uploadfile/")
+async def create_upload_file(file: UploadFile):
+    contents = await file.read()
+    f = open('./backend_temp/temp.bin','wb')
+    f.write(contents)
+    f.close()
+    return {"filename": file.filename}
+
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=8000)