Skip to main content

Contributors Forks Stargazers Issues MIT License


Logo

AVMSpeechMath

Perform voice operations in Spanish with Python!
Explore the docs »

Report Bug · Request Feature

Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact

About The Project

miniatura

If you want to watch the explanation in video, see the link

Getting Started

Prerequisites

You need to make sure you have installed the following modules.

  • speech_recognition

    pip install SpeechRecognition
    
  • pyttsx3

    pip install pyttsx3
    

Installation

pip install AVMSpeechMath

Usage

  • Example 1

    import AVMSpeechMath as sm
    
    res = sm.getResult("cuanto es dos mas dos") # without accents
    print(res) # prints 'El resultado es 4'
    
  • Example 2

    import AVMSpeechMath as sm
    
    res = sm.getResult("cuanto es cinco por 4000") # without accents
    print(res) # prints 'El resultado es 20,000'
    
  • Example 3

    import AVMSpeechMath as sm
    
    res = sm.getResult("raiz de cien") # without accents
    print(res) # prints 'El resultado es 10'
    

For more examples, please refer to the Examples packages

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Youtube: /avmmodules

Email: avmmodules@gmail.com

Metadata

Release files for AVMSpeechMath 0.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for AVMSpeechMath 0.0.5
File Size Uploaded
AVMSpeechMath-0.0.5.tar.gz 5.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for AVMSpeechMath 0.0.5
File Interpreter ABI Platform
AVMSpeechMath-0.0.5-py3-none-any.whl Python 3 none any Details

Total release size: 10.0 kB

Release files / AVMSpeechMath-0.0.5.tar.gz

Download URL AVMSpeechMath-0.0.5.tar.gz
Size 5.1 kB
Tags Source
SHA-256 checksum
How to use checksums
0562337568bc7a7e318843fcd2d43ee0e65d3a3453908d1892767f6899fae164
BLAKE2b-256 checksum
How to use checksums
f8752329c79b23a0f46b6d4258f59e182552b8d12049fc4ec47735226ec96949
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.1

Release files / AVMSpeechMath-0.0.5-py3-none-any.whl

Download URL AVMSpeechMath-0.0.5-py3-none-any.whl
Size 4.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3b013cbc5f10b52f3f9d32e5a8ee9d9a9343fff4f81819b91112930a6809e306
BLAKE2b-256 checksum
How to use checksums
a6f81ac83aa870b84926cc22289923257bce81c3723085a9ce67783e97104a83
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.1

Release history Release notifications | RSS feed

This release

0.0.5 This release

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page