transcriber.py
import re
import openai
from youtube_transcript_api import YouTubeTranscriptApi, TranscriptsDisabled
def get_video_transcript(video_id):
pattern = r'\[.*?\]'
response = YouTubeTranscriptApi.get_transcript(video_id)
transcripts = [item['text'] for item in response]
transcript_string = re.sub(pattern, '', ' '.join(transcripts))
return transcript_string
def summarize_transcript(transcript):
prompt = 'please summarize the transcript below into bullet points \n---\n"{0}"'.format(transcript)
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
temperature=0.1,
max_tokens=1000,
messages=[
{"role": "user", "content": prompt}
]
)
return response.choices[0]['message']['content']
app_package.spec
# -*- mode: python ; coding: utf-8 -*-
block_cipher = None
a = Analysis(
['app.py'],
pathex=[''],
binaries=[],
datas=[
('dark_orange_style.qss', '.'),
('transcriber.py', '.'),
('icon.png', '.')
],
hiddenimports=[],
hooksconfig={},
hookspath=[],
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False
)
pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
exe = EXE(pyz,
a.scripts,
a.binaries,
a.zipfiles,
a.datas,
[],
# exclude_binaries=True,
name='YT Video Summarize App',
icon='app_icon.ico',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
upx_exclude=[],
console=False,
runtime_tmpdir=None,
disable_windowed_traceback=False,
argv_emulation=False,
target_arch=None,
codesign_identity=None,
entitlements_file=None,
)