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bhindu-muppana

Config files for my GitHub profile.

https://github.com/bhindu-muppana/bhindu-muppana

Science Score: 41.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.0%) to scientific vocabulary

Keywords

config github-config
Last synced: 4 months ago · JSON representation ·

Repository

Config files for my GitHub profile.

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
config github-config
Created over 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

SCRIVENER

Python GitHub issues GitHub forks DOI GitHub license Lines of code Coverage Contributors YouTube

Table of Contents

Introduction

Scrivener is a video transcript summarizer for Youtube videos. Youtube is one of the most used website. A lot of people use the captions to understand the language of the video. In our project we aim to create a transcript summarizer which accepts a youtube URL link, collects the caption at every sentence and then provides the summary of the complete video. Our goal is to make the summarizer as accurate as possible and to add various other features. Our second goal of the project is to create a summarizer which can summarize the youtube videos which have captions disabled. Our project can be further expanded for numerous applications. This document provides a major perspective for the users to understand and take up the project as an Open source software and add on multiple features. Also, the document aids the developers in understanding the code and acts as a reference point for starting the project.

The complete development was achieved using the Python3 technology and it is recommended that the next set of developers who take up this project have these technologies installed and keep them running before proceeding further.

Demo

The project is deployed on both Streamlit cloud and Heroku. - Streamlit - Heroku

Steps for Execution

  1. Clone the Git repository.
  2. Run pip install -r requirements.txt
  3. Open Command Prompt and change the directory to the location of cloned repository.
  4. Run the command streamlit run user_interface.py
  5. Next, open your browser and type in localhost:8501 in the search bar to open the webUI of the application.
  6. The UI typically looks as shown below and here you have a choice between URL, file or normal text input.

License

This project is licensed under the terms of the MIT license. Please check License for more details.

Contributions

Please see our CONTRIBUTING.md for instructions on how to contribute to the project by completing some of the issues.

Future Scope

For enhancement of this project following functionalities can be implemented - Currently our application supports youtube videos and videos with .mp4 extension. Provide support for other video formats - Perform summarization for videos in languages other than English - Generate summary of Podcasts or other audiofiles - Provide summary in form of video - Generate summary of videos for specific time frames - Compare various Summarization models and provide optimal summary - UI Enhancement - Provide summary in form of audio - Generate summary of audio for specific time frames - Adding Chrome extension for SCRIVENER - Provide Sentiment Analysis of the generated summary - Develop a Discord BOT for SCRIVENER

Team Members

  • Anshul Navinbhai Patel
  • Bhavya Omprakash Agrawal
  • Darshan Manharbhai Patel
  • Pragna Bollam
  • Rohan Jigarbhai Shah

Acknowledgements

We would like to thank Professor Dr Timothy Menzies for helping us understand the process of building a good Software Engineering project. We would also like to thank the teaching assistants Xiao Ling, Andre Lustosa, Kewen Peng, Weichen Shi for their support throughout the project. - https://streamlit.io/ - https://huggingface.co/ - https://shields.io/ - https://www.powtoon.com/ - https://www.heroku.com/

Owner

  • Login: bhindu-muppana
  • Kind: user

Citation (CITATION.md) 

For the most up to date citation, click the following badge:
[![DOI](https://zenodo.org/badge/409326011.svg)](https://zenodo.org/badge/latestdoi/409326011)

# BibTeX
```text
@software{anshul_patel_2021_5532972,
  author       = {Anshul Patel and
                  pragna98 and
                  AgrawalBhavya},
  title        = {anshulp2912/scrivener: Pre-release v0.0},
  month        = sep,
  year         = 2021,
  publisher    = {Zenodo},
  version      = {prerelease},
  doi          = {10.5281/zenodo.5532972},
  url          = {https://doi.org/10.5281/zenodo.5532972}
}
```
# CSL
```text
{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5532972", 
  "title": "anshulp2912/scrivener: Pre-release v0.0", 
  "issued": {
    "date-parts": [
      [
        2021, 
        9, 
        27
      ]
    ]
  }, 
  "abstract": "No description provided.", 
  "author": [
    {
      "family": "Anshul Patel"
    }, 
    {
      "family": "pragna98"
    }, 
    {
      "family": "AgrawalBhavya"
    }
  ], 
  "version": "prerelease", 
  "type": "article", 
  "id": "5532972"
}
```
# DataCite
```text
<?xml version='1.0' encoding='utf-8'?>
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  <descriptions>
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</resource>
```
# Dublin Core
``` text
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  <dc:type>info:eu-repo/semantics/other</dc:type>
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</oai_dc:dc>
```
# DCAT
``` text
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        <adms:schemeAgency>url</adms:schemeAgency>
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    <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.5532971"/>
    <owl:versionInfo>prerelease</owl:versionInfo>
    <dct:description>No description provided.</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5532972"/>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5532972">https://doi.org/10.5281/zenodo.5532972</dcat:accessURL>
        <dcat:byteSize>8384591</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/5532972/files/anshulp2912/scrivener-prerelease.zip">https://zenodo.org/record/5532972/files/anshulp2912/scrivener-prerelease.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
</rdf:RDF>
```

# JSON
``` text
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}
  
```
# MARKCXML
``` text
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```

GitHub Events

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Dependencies

requirements.txt pypi
  • SpeechRecognition ==3.8.1
  • moviepy ==1.0.3
  • pydub ==0.25.1
  • pytube ==11.0.1
  • streamlit ==0.89.0
  • transformers ==4.11.0
  • youtube_transcript_api ==0.4.1