secheaper / transcriptor

Transcriptor is a web application that generates a quick summary and analyzes sentiment for videos using advanced Natural Language Processing techniques.
https://share.streamlit.io/secheaper/transcriptor/main/source/transcriptor.py
MIT License
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machine-learning nlp python sentiment-analysis software-engineering streamlit

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Transcriptor is a web application that generates a quick summary and analyzes sentiment for videos/audios using advanced Natural Language Processing techniques.

Installation :: Demo Website :: License :: Contributions :: Future Scope :: Contributors :: Support


:rocket: Installation

  1. Clone the Git repository and cd into the new repo
    git clone https://github.com/secheaper/transcriptor.git
    cd transcriptor
  2. This project uses Python 3, so make sure that Python and Pip are preinstalled. All requirements of the project are listed in the requirements.txt file. Use pip to install all of those
    pip install -r requirements.txt
  3. Once all the requirements are installed, you will have to cd into the source folder. Once in the source folder, use the streamlit command to run the transcriptor.py file
    cd source
    streamlit run transcriptor.py
  4. If all went well, you should see the Network URL where this application is running on your local computer

:sunflower: Demo Website

The project is deployed on Streamlit Cloud

:page_facing_up: License

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

:pencil2: Contributions

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

:crystal_ball: Future Scope

For enhancement of this project following functionalities can be implemented

:heart: Acknowledgements

We would like to thank 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. Also thanks to the amazing teams at Streamlit, Huggingface and Shields.io for their amazing projects!

:sparkles: Contributors


Shubham Mankar

Pratik Devnani


Moksh Jain


Rahil Sarvaiya


Anushi Keswani

:email: Support

For any queries and help, please reach out to us at: secheaper@gmail.com