Skip to main content

To scrape or collect text based content from media

Project description

TextContentGeneration

Generates Text Content from various sources such as YouTube Videos, Local Audio/Video Files, Webpages and PDF's.

Use the text_content_generation.generate() function to generate content from four sources:

  1. PDFS
  2. Web Pages
  3. YouTube Video Transcripts
  4. Local Audio/Video Files

You can also individual modules if you need only specific functionality.

  1. audio
    1. audio_conv - converts files to wav format
    2. transcribe - whisper model to transcribe audio files
  2. youtube
    1. yt_donwload - Download the yt video
    2. search_yt - Returns search titles based on search query
    3. search_and_download
    4. youtube_script - Gets transcript/captions content (EN)
  3. summarize
    1. summarize_chunks - Summarizes content using BART
  4. webpage
    1. read_pages - Scrapes a page
  5. pdf
    1. pdf_read - Reads pdfs

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

text_content_generator-0.0.2.tar.gz (5.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

text_content_generator-0.0.2-py3-none-any.whl (7.0 kB view details)

Uploaded Python 3

File details

Details for the file text_content_generator-0.0.2.tar.gz.

File metadata

  • Download URL: text_content_generator-0.0.2.tar.gz
  • Upload date:
  • Size: 5.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for text_content_generator-0.0.2.tar.gz
Algorithm Hash digest
SHA256 d554153e36115027da97f1fa92a6f1980431383a8896b33e53080847df807951
MD5 f154e9206eb6112ea15aa4723ccbb1de
BLAKE2b-256 09d762f5449c2cab5c200e21a58579c0706aaa1b3e8b060b9243acd6d3cb38cc

See more details on using hashes here.

File details

Details for the file text_content_generator-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for text_content_generator-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 98ec0f51b4bdbf6c0584133645bdbb73ecbe0e9a47d74d7d7e15675f9834c11f
MD5 a44c43d56ab3b1d9a0b4a0ebbcd8e151
BLAKE2b-256 700ce0c4e5c6199416eff2dfa563699791b91795e38f06dcdb4e4f4346743446

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page