Yandrik/fluesterpost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

INITIAL COMMIT

Browse Source
This commit is contained in:
Yandrik 2023-10-23 17:49:26 +02:00
commit 9121ad819d
10 changed files with 2815 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
.fleet/run.json Normal file
View File

@ -0,0 +1,12 @@
{
"configurations": [
{
"type": "command",
"name": "Command configuration",
"program": "poetry",
"args": ["run", "python", "main.py"],
},
]
}

23
README.md Normal file
View File

@ -0,0 +1,23 @@
# Flüsterpost
Flüsterpost takes audio files and turns them into text. It's made to do so easily, quickly, and locally.
## How to Run
This repo uses the poetry package manager for Python. If you don't have it, you'll need to install it before using this.
(i can recommend it. it's great.)
`cd` into the repository. Then, run `poetry install`.
Then, do `poetry run main.py`.
### Deps
This project uses [flet](https://flet.dev/) for the GUI. On Linux systems, you'll need `gstreamer` installed.
You probably have this shipped with your system, but if you get the error message
`error while loading shared libraries: libgstapp-1.0.so.0: cannot open shared object file: No such file or directory`,
install it. More info on the [flet docs page](https://flet.dev/docs/guides/python/getting-started).
## License
This project is licensed under the MIT license.
## Contributions
Any contributions to this project will be licensed under the MIT license, unless explicitly noted otherwise.

BIN
__pycache__/nn_model_manager.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
__pycache__/utils.cpython-311.pyc Normal file
View File

Binary file not shown.

322
main.py Normal file
View File

@ -0,0 +1,322 @@
import os
import pprint
import traceback
import utils
import flet as ft
from typing import DefaultDict
import pygame
import nn_model_manager as mm
def main(page):
pygame.mixer.init()
first_name = ft.Ref[ft.TextField]()
last_name = ft.Ref[ft.TextField]()
greetings = ft.Ref[ft.Column]()
file_tree = ft.Ref[ft.Column]()
file_tree_empty_text = ft.Ref[ft.Text]()
load_model_text = ft.Ref[ft.Text]()
model_size_select = ft.Ref[ft.Dropdown]()
model_device_select = ft.Ref[ft.Dropdown]()
# model_bits_select = ft.Ref[ft.Dropdown]()
model_load_unload_button = ft.Ref[ft.IconButton]()
model_loading_spinner = ft.Ref[ft.ProgressRing]()
transcribe_buttons: list[ft.Ref[ft.IconButton]] = []
output_text_container = ft.Ref[ft.Container]()
output_text_col = ft.Ref[ft.Column]()
def generate_file_tree(path: str, tree_dict: dict | DefaultDict):
if path[-1] == os.sep:
path = path[:-1]
folder_name = utils.get_last_segment(path)
print(f"DEBUG: generating tree for folder {folder_name}")
# find folders, and add dict for each
print(f"adding name {folder_name} to ui")
controls = [
ft.Row(
[
ft.Icon(ft.icons.FOLDER, color=ft.colors.BLUE),
ft.Text(folder_name, size=14, weight=ft.FontWeight.BOLD),
]
)
]
for folder_name, value in tree_dict.items():
if folder_name == utils.FILES_KEY or folder_name == '.':
continue # skip for now
controls.append(generate_file_tree(path + os.sep + folder_name, value))
# now folders are there, let's do files
if utils.FILES_KEY not in tree_dict and '.' in tree_dict:
tree_dict = tree_dict['.'] # if root dir, enter root dir (.) directory
files_controls = []
for file in tree_dict[utils.FILES_KEY]:
control = [ft.Text(file)]
if not file.endswith('.mp3'):
continue
def start_playing(filepath: str, button_ref: ft.Ref[ft.IconButton]):
print(f"trying to play {filepath}...")
if pygame.mixer.music.get_busy() or not os.path.isfile(filepath):
return
print("starting playback")
pygame.mixer.music.load(filepath)
pygame.mixer.music.play()
button_ref.current.icon = ft.icons.PAUSE_CIRCLE_FILLED_OUTLINED
button_ref.current.on_click = lambda _, f=filepath, r=button_ref: stop_playing(f, r)
page.update()
def stop_playing(filepath: str, button_ref: ft.Ref[ft.IconButton]):
print("stopping playback")
pygame.mixer.music.stop()
button_ref.current.icon = ft.icons.PLAY_CIRCLE_OUTLINED
button_ref.current.on_click = lambda _, f=filepath, r=button_ref: start_playing(f, r)
page.update()
full_file_path = path + os.sep + file
_button_ref = ft.Ref[ft.IconButton]()
control.append(ft.IconButton(icon=ft.icons.PLAY_CIRCLE_OUTLINED, ref=_button_ref,
on_click=lambda _, f=full_file_path, r=_button_ref: start_playing(f, r)))
def transcribe(filepath: str):
print(f"DEBUG: trying to transcribe file {filepath}")
if not mm.is_model_loaded() or not filepath.endswith('.mp3'):
return
print(f"DEBUG: starting transcription")
output_text_container.current.alignment = ft.alignment.center
output_text_col.current.controls = [ft.ProgressRing()]
# set all transcribe buttons to disabled
for btn in transcribe_buttons:
btn.current.disabled = True
page.update()
try:
segments, info = mm.transcribe_from_file(filepath)
txt = ''
for seg in segments:
txt += seg.text + '\n'
output_text_container.current.alignment = ft.alignment.top_left
output_text_col.current.controls = [ft.Text(txt, selectable=True)] # TODO
except Exception as e:
output_text_container.current.alignment = ft.alignment.center
output_text_col.current.controls = [ft.Text(f"Transcribing failed: {str(e)}")] # TODO
finally:
# set all transcribe buttons to disabled
for btn in transcribe_buttons:
btn.current.disabled = False
page.update()
transcribe_button_ref = ft.Ref[ft.IconButton]()
control.append(ft.IconButton(icon=ft.icons.FORMAT_ALIGN_LEFT, disabled=not mm.is_model_loaded(), ref=transcribe_button_ref,
on_click=lambda _, f=full_file_path: transcribe(f)))
transcribe_buttons.append(transcribe_button_ref)
files_controls.append(ft.Row(control))
if len(files_controls) == 0:
files_controls.append(ft.Text('No mp3 Files found', color='grey'))
return ft.Row([
ft.VerticalDivider(),
ft.Column(controls + [ft.Row([ft.VerticalDivider(), ft.Column(files_controls)])])
]
)
def btn_click(e):
greetings.current.controls.append(
ft.Text(f"Hello, {first_name.current.value} {last_name.current.value}!")
)
first_name.current.value = ""
last_name.current.value = ""
page.update()
first_name.current.focus()
def on_dialog_result(e: ft.FilePickerResultEvent):
path = e.path
if path:
print(f"path is {path}")
try:
if os.path.isdir(path):
tree = utils.build_file_tree(path)
if '.' in tree: # if there is actually a proper file tree
# add to view
file_tree.current.controls.append(
generate_file_tree(path, utils.defaultdict_to_dict(tree))
)
file_tree_empty_text.current.visible = False
page.update()
except e:
print("didn't work aaa") # TODO: fix
def load_model():
load_model_text.current.value = 'Loading... This may take a while.'
model_size_select.current.disabled = True
model_device_select.current.disabled = True
# model_bits_select.current.disabled = True
model_load_unload_button.current.disabled = True
model_loading_spinner.current.visible = True
page.update()
try:
mm.set_model(
size=model_size_select.current.value or 'base',
device=model_device_select.current.value or 'auto',
# compute_type=model_bits_select.current.value or '16bit',
)
except Exception as e:
print(f"loading model failed. Exception: {str(e)}")
print(traceback.format_exc())
load_model_text.current.value = f'Loading failed. Reason:\n{str(e)}'
model_size_select.current.disabled = False
model_device_select.current.disabled = False
# model_bits_select.current.disabled = False
# raise e
model_loading_spinner.current.visible = False
model_load_unload_button.current.disabled = False
if mm.is_model_loaded():
load_model_text.current.value = f'Loaded.'
model_load_unload_button.current.icon = ft.icons.CLOSE
model_load_unload_button.current.on_click = lambda _: unload_model()
# if successful, save to shared preferences
page.client_storage.set('model_size', model_size_select.current.value)
page.client_storage.set('device_select', model_device_select.current.value)
# set all transcribe buttons to enabled
for btn in transcribe_buttons:
btn.current.disabled = False
page.update()
def unload_model():
model_load_unload_button.current.disabled = True
# set all transcribe buttons to disabled
for btn in transcribe_buttons:
btn.current.disabled = True
page.update()
if mm.is_model_loaded():
mm.unload_model()
load_model_text.current.value = 'Select parameters, and then load transcription model.'
model_size_select.current.disabled = False
model_device_select.current.disabled = False
# model_bits_select.current.disabled = False
model_load_unload_button.current.disabled = False
model_load_unload_button.current.icon = ft.icons.START
model_load_unload_button.current.on_click = lambda _: load_model()
model_loading_spinner.current.visible = False
page.update()
# set up file picker
file_picker = ft.FilePicker(on_result=on_dialog_result)
page.overlay.append(file_picker)
page.add(
ft.Text("Flüsterpost", style=ft.TextThemeStyle.TITLE_LARGE),
ft.Divider()
)
page.add(
ft.ResponsiveRow([
ft.Container(
ft.Column([
ft.ElevatedButton("Add Folder", on_click=lambda _: file_picker.get_directory_path()),
ft.Column(ref=file_tree, scroll=ft.ScrollMode.ALWAYS, expand=True),
# ft.ListView(ref=file_tree),
ft.Text("No Folder Open Yet", style=ft.TextTheme.body_small, color="grey",
ref=file_tree_empty_text),
], expand=True), expand=True, col=4),
ft.Container(expand=True, content=ft.Column(expand=True, controls=[
ft.Column([
ft.Text('Select parameters, and then load transcription model.', ref=load_model_text),
ft.Row([
ft.Dropdown(
ref=model_size_select,
width=100,
hint_text='model size',
value=page.client_storage.get('model_size') if page.client_storage.contains_key('model_size') else 'base',
options=[ft.dropdown.Option(x) for x in mm.ModelSize.__args__], # __args__ is not perfect here. But works.
),
ft.Dropdown(
ref=model_device_select,
width=100,
hint_text='device',
value=page.client_storage.get('device_select') if page.client_storage.contains_key('device_select') else 'auto',
options=[ft.dropdown.Option(x) for x in mm.Device.__args__] # __args__ is not perfect here. But works.
),
# ft.Dropdown(
# ref=model_bits_select,
# width=100,
# hint_text='bits',
# value='16bit',
# options=[ft.dropdown.Option(x) for x in mm.ComputeType.__args__] # __args__ is not perfect here. But works.
#),
ft.IconButton(
icon=ft.icons.START,
ref=model_load_unload_button,
on_click=lambda _: load_model(),
),
ft.ProgressRing(ref=model_loading_spinner, visible=False)
])
]),
ft.Container(expand=True, padding=12, border=ft.border.all(2, 'grey'),
alignment=ft.alignment.center,
ref=output_text_container,
content=ft.Column(
[ft.Text('Nothing to see here!', text_align=ft.TextAlign.CENTER)],
ref=output_text_col,
expand=True,
scroll=ft.ScrollMode.ADAPTIVE)),
]), col=8)
], expand=True),
)
ft.app(target=main)

65
nn_model_manager.py Normal file
View File

@ -0,0 +1,65 @@
import threading
from faster_whisper import WhisperModel
import faster_whisper
from typing import Literal, Iterable, Tuple
_model: WhisperModel | None = None
ModelSize = Literal["tiny", "base", "small", "medium", "large-v1", "large-v2"]
Device = Literal["cuda", "cpu", "auto"]
ComputeType = Literal["8bit", "16bit", "32bit"]
def set_model(size: ModelSize, device: Device): #, compute_type: ComputeType):
'''
compute = None
if compute_type == '8bit':
if device == 'cuda' or device == 'auto':
compute = 'int8_float16'
else:
compute = 'int8'
elif compute_type == '16bit':
if device == 'cuda' or device == 'auto':
compute = 'int8'
else:
raise Exception("Cannot do 16 bit computing on CPU")
elif compute_type == '32bit':
compute = 'float'
else:
raise Exception(f"Invalid Compute / Device configuration (device {device} with {compute_type})")
'''
global _model
_model = WhisperModel(size, device=device)
def unload_model():
if not is_model_loaded():
return
global _model
_model = None # TODO: check if this works
def is_model_loaded() -> bool:
global _model
return _model is not None
def transcribe_from_file(mp3_path: str) -> Tuple[Iterable[faster_whisper.transcribe.Segment], faster_whisper.transcribe.TranscriptionInfo] | None:
"""
Transcribe audio from an MP3 file.
Note that this can - and will - crash if you don't catch exceptions.
If the model isn't loaded yet, this will return None.
Otherwise, it will return the raw transcription from `faster-whisper`.
"""
if not is_model_loaded():
return None
global _model
segments, info = _model.transcribe(mp3_path, beam_size=5)
# transcribe, and throw all exceptions to application to handle
return segments, info

2043
poetry.lock generated Normal file
View File

File diff suppressed because it is too large Load Diff

19
pyproject.toml Normal file
View File

@ -0,0 +1,19 @@
[tool.poetry]
name = "fluesterpost"
version = "0.1.0"
description = "App for transcribing audio files to text"
authors = ["Yandrik <me@yandrik.dev>"]
license = "MIT"
readme = "README.md"
[tool.poetry.dependencies]
python = "^3.11"
flet = "^0.10.3"
faster-whisper = "^0.9.0"
pygame = "^2.5.2"
torch = "2.0.0"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

285
temp Normal file
View File

@ -0,0 +1,285 @@
{ '.': { '_i_files': [ 'getting-started.md',
'inbox.md',
'readme.md',
'skill_stack.md',
'player_famillarity.md',
'todo.md']},
'.foam': { '_i_files': [],
'templates': { '_i_files': [ 'anki-cards.md',
'your-first-template.md',
'zettel-refs.md',
'zettel.md']}},
'.git': { '_i_files': [ 'description',
'packed-refs',
'HEAD',
'config',
'COMMIT_EDITMSG',
'FETCH_HEAD',
'ORIG_HEAD',
'index'],
'branches': {'_i_files': []},
'hooks': { '_i_files': [ 'applypatch-msg.sample',
'commit-msg.sample',
'post-update.sample',
'pre-applypatch.sample',
'pre-commit.sample',
'pre-merge-commit.sample',
'pre-push.sample',
'pre-receive.sample',
'push-to-checkout.sample',
'update.sample',
'fsmonitor-watchman.sample',
'pre-rebase.sample',
'prepare-commit-msg.sample']},
'info': {'_i_files': ['exclude']},
'logs': { '_i_files': ['HEAD'],
'refs': { '_i_files': [],
'heads': {'_i_files': ['master']},
'remotes': { '_i_files': [],
'origin': { '_i_files': [ 'HEAD',
'master']}}}},
'objects': { '01': { '_i_files': [ '92178cee01a3ad18cb621cac1ba64ad8e4e8a3']},
'02': { '_i_files': [ '8c8217c849a00a010fec6cfa99a9e92e8c9375',
'557a1b00b8c95a84b967c50c1e1aa7974a69ce']},
'05': { '_i_files': [ 'f4816f07fc4f96c0c2010cf0d7449f00fcce19',
'0a51af521fb44d8aacd7604d14b8766238d66f']},
'0b': { '_i_files': [ 'f3fdf9465baf34897ad3252be2341bc1bf7db8']},
'0f': { '_i_files': [ 'd094c8d57913f667e462632d49b2f052bab5de']},
'11': { '_i_files': [ 'ae42db7bb29c0a5f1987e75db0c49fbdf8f957']},
'13': { '_i_files': [ 'b1d98f14fd2acff4afa59cf80bf7150a44d8d5']},
'18': { '_i_files': [ 'b5e3934b5d99910733c118c634fcd17c58b369']},
'1d': { '_i_files': [ '8661f5e25c86324e1bba1933948c3900126c06']},
'20': { '_i_files': [ '0e31f1ae6fcde97e64e5dc1ea7d5f10008dea4']},
'24': { '_i_files': [ '5d1d3c006b36d48b007298349f2f33bf3b14d8']},
'28': { '_i_files': [ 'b6a59bbb64bd2705e586f53a880ce2d4c00515']},
'2b': { '_i_files': [ '25ddb4990745c5df76289a21a4d7d6e333d054']},
'30': { '_i_files': [ 'e393907000c0219d86dbffd28bb1e548c7a078']},
'32': { '_i_files': [ '711ab584d672d6e5aa62da57b5a45c8d231689']},
'34': { '_i_files': [ '7998770c00191c4a76a470c5a4a1311c2265fc']},
'35': { '_i_files': [ 'bb5e4cb76375d51162c6143c3ebd998f469714']},
'38': { '_i_files': [ 'b873fbb24e1d38a5896f9161b0d4e98aec472f']},
'39': { '_i_files': [ 'cdb1347792036be3a4ceb5fe49faace3c5f579']},
'3a': { '_i_files': [ 'ba671d641c06e76036016b91e577f91a4b02ad',
'44ad749af1d6dc5866356beb964f766eee5128']},
'42': { '_i_files': [ 'a79846fbcee6a7b10a0ce6a6fca8994fc80876']},
'45': { '_i_files': [ 'dc2d782c3fe9faf18d6517f11f183cf78f177a']},
'53': { '_i_files': [ '196f6105b690fd51e81484deb1321976b1daa9']},
'56': { '_i_files': [ '729062c3620d0cc078c7b7033f93e64982bfc4',
'b44a575108bdb87f385b47c30f68d418a3eaaa']},
'5c': { '_i_files': [ '13490222138a9d52e50f4782969284fd43e8ce']},
'5f': { '_i_files': [ '3ff320973f57bb17f5abd596af5f73b15bd601']},
'67': { '_i_files': [ 'e12b1d2f0a5307acc8f06fa0edb883ef86acfe']},
'6e': { '_i_files': [ 'd2d0031d1ffb6c25f58046a1971661e0cf1cc4']},
'70': { '_i_files': [ '92cf531a29dd7fdc0a4d09acb194c4a57d8803',
'b9d0a5d2154b5be599f50ca39883642ef681ec']},
'71': { '_i_files': [ '45b359be3dd773a9ccbc6aaeba7b9be9ba074c']},
'74': { '_i_files': [ '83a25779adf27f8c37221076cb0e61a2025a5c']},
'75': { '_i_files': [ '490a494632a140b2119a894e6521161d302769']},
'76': { '_i_files': [ 'd9e26bda3f744c90704e94004f2350a3b145ba']},
'78': { '_i_files': [ '4442d08c18a84bd0570ecc56518073f4a02430']},
'79': { '_i_files': [ 'bcbd1fa1badcf3677e52ddd76721bf7ddfc115']},
'7a': { '_i_files': [ '5177de86b242d198edb87bd20a5613f106e596']},
'82': { '_i_files': [ '65b4da954fcdc135ffaf0019b31cdb228e59ec',
'a06086a94bc1fa94b8f054e7c48c3a8d45a580']},
'85': { '_i_files': [ '29e2398baf641413f194a652305c3632c757c7']},
'88': { '_i_files': [ '83fca5338d4419f32e57377106986fea85f81e']},
'8c': { '_i_files': [ '972d8832336104982d5f66037246ed75050c94']},
'8d': { '_i_files': [ '200ac5a1dd8d235bb786bcdf94527297c6019c']},
'90': { '_i_files': [ 'f26b565b09edc34d98bfe9b01dfc88d01b3e05']},
'92': { '_i_files': [ '048c50fec01e3a6b9cc7d301b48f62f0d47ad6',
'b464c0c03c745287234e4ccbbd0dc5285fc545']},
'93': { '_i_files': [ 'a00093b5319ab79d4b7a9c490cb4e2a661907e']},
'94': { '_i_files': [ '05bfdc224d3e5dfe9fe6116a4fd2955ab10a72']},
'95': { '_i_files': [ '0027f29e86396e4d7416487d16100fc559fb2d',
'7a01dc4f30e7f3424d004a17d7b5571d0e3879']},
'96': { '_i_files': [ '2e3e24df9db27f23050dc22c057793b40455cc']},
'97': { '_i_files': [ 'f9215e573ba5b7d2273bc7b368d025b37f0f7a']},
'9c': { '_i_files': [ '6b61bb1fdfba8f5b242f7f98284a528a9e17c8']},
'9d': { '_i_files': [ '9fe831567fe46ae777733412cad5157982c44a']},
'9e': { '_i_files': [ '26dfeeb6e641a33dae4961196235bdb965b21b',
'a7cd9ba86b57ada4037f24526eee3579efd26d']},
'_i_files': [],
'a6': { '_i_files': [ 'ffab47a1ec45c43ed1927ddc6097a088fcad4f']},
'a8': { '_i_files': [ 'a84552bead93885c351952ca9781d4ddbe5780',
'edeadbf5b40ab9eb7598d729263e270ddd9e63']},
'b3': { '_i_files': [ '2e1b1d3d1bbd905aca74818820b184001fea13']},
'b5': { '_i_files': [ 'cd6cf2d939352ff74ac7ca30018decc0647b65']},
'b9': { '_i_files': [ '0227ebf336c51d2364f2c6ed9cb9896a236f49']},
'ba': { '_i_files': [ '4fad78807ee9ec608eca8c6355b54146b52a68']},
'bb': { '_i_files': [ '90408b3c6db106c5fe19e6bd142d2bf6b7b528']},
'bc': { '_i_files': [ '4057206a45a261e46f8b6f4896d7c5b843876f']},
'c0': { '_i_files': [ 'd770dce01d3d0ca290ddd7e494714960c77326',
'190d5c75633f5ea107de72845dc5387a518400',
'8336e9a181a2788e9bbcba484415698701638a',
'0153d83030dad37d32e38628fe10e304f3377c']},
'c3': { '_i_files': [ '31566dd29ec2f17a6ba736a2fe0a45fa65e89d']},
'c4': { '_i_files': [ '1c5acd753957dda0d5bdeb25fb47e793080453']},
'c8': { '_i_files': [ 'c365d89b8b1bad158cba37051fc32cbc784c65']},
'ce': { '_i_files': [ '8bbb33980fd7c40f017d1063950fd8fdab2d6b']},
'cf': { '_i_files': [ 'dc0b4420769cfc9219fa741447ae43b8129b75']},
'd8': { '_i_files': [ 'ee8b9b4c05ce67098abbdfe9e351d63b21f18e',
'eeb04612a7818d4c0872b312f4e2241f996190']},
'd9': { '_i_files': [ '54566657c342600667bb4836f83a8407e32807']},
'dd': { '_i_files': [ '2a192a1c242d0691fb8db2fdd08733c63a0dfb']},
'e1': { '_i_files': [ '2b226b929c2c1996829b1dd45539f71fba1d4b']},
'e5': { '_i_files': [ 'c523af28c3a765a63e7e5fbf44a40a44cd0d05']},
'e6': { '_i_files': [ '80ac775c8245442f5dec43644a2aa7aac6dbc2',
'a347474ea106d1b0979e5aead00e695710eb34']},
'ea': { '_i_files': [ '514bc29f92feccb4fc8fb53dcbee24cb9863b2']},
'ee': { '_i_files': [ '41eb2f83cb8a36fb5773cc3501a73d6b5a484f']},
'ef': { '_i_files': [ '998d5afc023c58a624a7b01261f15b416ef286']},
'f1': { '_i_files': [ '3dba7d7450e0ea935bc15b087c2e62e3f9f62b',
'053bfb26234ebea971e874a0150b221f5f598d',
'ae4aac4535bfe3d569f4376e1992acdd5e5fde']},
'f2': { '_i_files': [ '6065a6e08f05d5d0dad0e8f9de825648938a04',
'432313c1f432e922ed0dc4baea17c8d5043cfb']},
'f3': { '_i_files': [ 'ebbe30d46a1d7d56b95ab0d64f64b7cfede59a']},
'f6': { '_i_files': [ 'd65179b69864c0b1d88f4fa32b35a9089bfa83']},
'f8': { '_i_files': [ '5851a1afaca442587934e62f1b182f3e09e3d1',
'af88bf54d71d06fba7335ff4662722019a1f9b',
'61ad4ac94746c2347df1aa6ae2dafafe7f9538']},
'fb': { '_i_files': [ '8be1fd027914d656729cc5217b6f9a7c1cb4f3']},
'fd': { '_i_files': [ '0d011ded41de68be2f0039c97890ed4117f7ff',
'204664448169af25c5126c3c8c11917ec5cb6f']},
'info': {'_i_files': []},
'pack': { '_i_files': [ 'pack-8b0ef94d8431e1b37110e10fedb27318a852f391.pack',
'pack-8b0ef94d8431e1b37110e10fedb27318a852f391.idx']}},
'refs': { '_i_files': [],
'heads': {'_i_files': ['master']},
'remotes': { '_i_files': [],
'origin': { '_i_files': [ 'HEAD',
'master']}},
'tags': {'_i_files': []}}},
'.obsidian': { '_i_files': [ 'hotkeys.json',
'core-plugins.json',
'core-plugins-migration.json',
'app.json',
'appearance.json',
'workspace.json',
'graph.json',
'community-plugins.json'],
'plugins': { '_i_files': [],
'dataview': { '_i_files': [ 'manifest.json',
'main.js',
'styles.css']},
'obsidian-git': { '_i_files': [ 'manifest.json',
'main.js',
'styles.css',
'data.json']}}},
'.vscode': { '_i_files': [ 'extensions.json',
'foam.json',
'settings.json',
'spellright.dict']},
'_layouts': {'_i_files': ['home.html', 'page.html']},
'abawo': { '_i_files': ['corporate-design.md'],
'keant': { '_i_files': [],
'emc': {'_i_files': ['keant-emc-testing.md']}}},
'ai': { '_i_files': [ 'clustering.md',
'gradient_descent.md',
'nn_neurons.md'],
'basics': { '_i_files': [ 'embedding.md',
'latent-space.md',
'few-shot.md',
'zero-shot.md']},
'combination': {'_i_files': ['query-net.md']},
'ffn': {'_i_files': ['multi_layer_perceptron.md']},
'gan': {'_i_files': ['gan.md']},
'learn': { '_i_files': [ 'active_learning.md',
'backpropagation_learn.md',
'fitting.md',
'learning_kinds.md',
'semi-supervised_text_classification.md']},
'llm': { '_i_files': [ 'autoregressive.md',
'language_models.md',
'llm.md'],
'google': {'_i_files': ['bard.md']},
'langchain': {'_i_files': ['langchain.md']},
'openai': {'_i_files': ['openai.md', 'gpt4.md']},
'oss': {'_i_files': ['vicuna.md']},
'prompting': {'_i_files': ['cot.md']},
'research': { '_i_files': [ 'using-llms-for-reading-thoughts.md']}},
'multi-receptors': {'_i_files': ['nn-neurotransmitters.md']},
'news': {'_i_files': ['google-codered.md', 'we-have-no-moat.md']},
'rnn': { '_i_files': [ 'bci-rnn.md',
'bionets.md',
'echo-state-networks.md',
'rnn.md',
'rnn_overlearning.md',
'rnn_timer_example.md',
'rnn_usefulness.md',
'rockets_rnn.md']},
'tools': { '_i_files': [ 'chatgpt.md',
'github-copilot.md',
'vector-database.md',
'bing-chat.md']}},
'assets': {'_i_files': [], 'css': {'_i_files': ['style.scss']}},
'attachments': { '_i_files': [ '2022-04-26-19-39-39.png',
'Josefin_Sans.zip',
'Montserrat.zip',
'abawo-color-palette-v1.pdf',
'abawo-color-palette-v1.png',
'abawo-logo-square.png',
'abawo-logo-square.svg',
'abawo-logo.png',
'abawo-logo.svg',
'bid_ask_spread.png',
'clustering_ni-seminar_fabian-karl_2022-02-03-12-37-28.png',
'foam-icon.png',
'gamedev_tutorial_properties.png',
'gen-discr-training.svg',
'jaeger_feedforward.png',
'rnn-esn-talk_daniel-ruepp_ni-seminar_3.2.2022.png',
'rnn_feedforward_net.png',
'rnn_structure_jaeger_tutorial_timer.png',
'viofs-folder-on-iso.png',
'virt-manager-folder-share.png',
'2023-05-12-12-09-30-langchain-memory.png',
'2023-05-19-12-22-28.png',
'cot-prompting-yaoTreeThoughtsDeliberate2023.png',
'evalResults-yaoTreeThoughtsDeliberate2023.png',
'evalTable-yaoTreeThoughtsDeliberate2023.png',
'titleImg-panDragYourGAN.png',
'tot-prompting-yaoTreeThoughtsDeliberate2023.png']},
'cad': {'_i_files': ['CalculiX.md']},
'cs': {'_i_files': ['reservoir-computing.md']},
'furntiture': {'_i_files': ['element-shelving-system.md']},
'gamedev': { '_i_files': ['prototyping.md'],
'mechanics': {'_i_files': ['difficulty.md', 'tutorial.md']},
'target_audience': {'_i_files': ['game_literacy.md']}},
'helium': { '_i_files': ['helium.md'],
'manufacturing': { '_i_files': [],
'hs1': { '_i_files': [ 'hs1-ethernet-driver.md',
'hs1-processor.md',
'hs1.md']}}},
'investing': { '_i_files': [ 'diversification.md',
'international_investing.md',
'value_vs_growth_stocks.md'],
'brokers': { '_i_files': [ 'broker.md',
'zero_commission_brokers.md']},
'value': { '_i_files': [ 'bottom_up_market_research.md',
'in-depth_company_research.md',
'value_investing.md']}},
'job_search': {'_i_files': ['ats.md', 'resume_writing.md']},
'linux': { '_i_files': [],
'kvm': { '_i_files': [ 'kvm-virtualization.md',
'libvirt.md',
'libvirtd-folder-share-windows-guest.md',
'qemu.md',
'virt-manager.md']}},
'manufacturing': { '_i_files': [],
'oem': { '_i_files': [ 'oem-in-china.md',
'oem.md',
'value-added-reseller.md']}},
'maths': { '_i_files': [],
'game_theory': { '_i_files': [ 'positive_sum_game.md',
'zero_sum_game.md']}},
'meditation': {'_i_files': ['shunya.md']},
'people': {'_i_files': [], 'developers': {'_i_files': ['hwchase17.md']}},
'psychology': {'_i_files': ['the-faschist-mindset.md']},
'robotics': {'_i_files': ['arco.md']},
'skills': { '_i_files': [ 'jack_of_all_trades_master_of_one.md',
'skill_stacking.md']},
'uni': { '_i_files': [],
's5': { '_i_files': ['thomas-thuem-cb-pruefung-stuff.md'],
'compilers': {'_i_files': ['lexing_anki.md']},
'grn': {'_i_files': ['questions.md']}}}}

46
utils.py Normal file
View File

@ -0,0 +1,46 @@
from collections import defaultdict
import os
from typing import DefaultDict, Dict, List
def tree() -> DefaultDict:
return defaultdict(tree)
def get_last_segment(path: str) -> str:
if path[-1] == '/':
path = path[:-1]
return path.split(os.sep)[-1]
FILES_KEY = '_i_files'
def build_file_tree(root_dir: str) -> DefaultDict:
file_tree = tree()
root_dir = os.path.normpath(root_dir) # Normalize the path
for dirpath, dirnames, files in os.walk(root_dir):
# Get the subdirectory path relative to the root directory
subdir = os.path.relpath(dirpath, root_dir)
# Split the path into components to navigate the nested dictionary
path_components = subdir.split(os.sep)
# Navigate to the current subdirectory in the file tree
current_subdir = file_tree
for component in path_components:
current_subdir = current_subdir[component]
# Add files to the current subdirectory in the file tree
current_subdir[FILES_KEY] = files
return file_tree
# Function to convert defaultdict to dict (for readability)
def defaultdict_to_dict(d: defaultdict) -> dict:
if isinstance(d, defaultdict):
d = {k: defaultdict_to_dict(v) for k, v in d.items()}
return d