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
cd
into the new repo
git clone https://github.com/secheaper/transcriptor.git
cd transcriptor
requirements.txt
file. Use pip to install all of those
pip install -r requirements.txt
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
The project is deployed on Streamlit Cloud
This project is licensed under the terms of the MIT license. Please check License for more details.
Please see our CONTRIBUTING.md for instructions on how to contribute to the project by completing some of the issues.
For enhancement of this project following functionalities can be implemented
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!
Shubham Mankar |
Pratik Devnani |
Moksh Jain |
Rahil Sarvaiya |
Anushi Keswani |
For any queries and help, please reach out to us at: secheaper@gmail.com