speech-summarizer | Transcribes and summarizes speech or audio

by kandi1clickkits Jupyter Notebook Version: v1.0.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | speech-summarizer Summary

speech-summarizer is a Jupyter Notebook library. speech-summarizer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The app requires python3 to be installed in the machine since the programming language used is Python.

Support

Quality

Security

License

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Support

speech-summarizer has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

speech-summarizer has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of speech-summarizer is v1.0.0

Quality

speech-summarizer has no bugs reported.

Security

speech-summarizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

speech-summarizer is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

speech-summarizer releases are available to install and integrate.

Installation instructions are available. Examples and code snippets are not available.

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speech-summarizer Key Features

No Key Features are available at this moment for speech-summarizer.

speech-summarizer Examples and Code Snippets

No Code Snippets are available at this moment for speech-summarizer.

Community Discussions

No Community Discussions are available at this moment for speech-summarizer.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install speech-summarizer

Refer kits from the link below to jumpstart the app.
https://kandi.openweaver.com/collections/speech-processing/speech-summarizer
https://kandi.openweaver.com/collections/speech-processing/course-shorts
Once the python is installed, install all the dependencies by running the below command. pip3 install -r requirements.txt.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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