B.E.N.J.I.- The Impossible Missions Force's digital assistant

the-ethan-hunt, updated 🕥 2022-12-07 23:50:40

B.E.N.J.I.

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works on Windows works on Linux Works on Max

made with &hearts in Python

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A digital assistant for your device that uses speech-recognition to obey your commands

NOTE #1: B.E.N.J.I. has participated in the following Open-Source Programs: Kharagpur Winter of Code 2017, GirlScript Summer Of Code 2018, NJACK Winter of Code 2018 and Kharagpur Winter of Code 2018 :tada:

NOTE #2: I was invited to talk about B.E.N.J.I at the Open-Source Summit held at IIT Kharagpur on the 21st of January 2018. You can view the slides here. The video session is available to watch here :tada:

Maintainers : Dhruv Apte, Abhimanyu Thakre

List of contents

Declassified debrief

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Impossible Missions Force's debrief issued to the POTUS dated 30th May 2017:
    "On properly documented analysis and Congressional finding, the Impossible Missions Force(IMF) therefore, declassifies it's junior level digital assistant titled B.E.N.J.I.,short for Brilliant and Efficient non-Javascript enabled Intelligence Systems for civilian use. It might be noted that, this is only for peaceful purposes and the IMF does not hold any responsibility on its misuse. The Force however,has full right to control the activities of the system both,legally and illegally. The Force also submits that any covert action taken due to the system is not questionable to any Congressional hearing. Finally the Force asserts that its agents,operatives or analysts neither accept nor deny details of any operation regarding B.E.N.J.I. to any hearing without the Secretary's approval."

Installation

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You can install B.E.N.J.I. on your laptop by cloning this repository as of first: 1. git clone http://github.com/the-ethan-hunt/B.E.N.J.I. 2. Open your IPython notebook to %run benji.py. For Command Prompt try python benji.py.

Note:If a module is not found, then install each module by: pip install modulename
P.S. B.E.N.J.I. now works for Windows, Linux and Mac OS :tada:

Mac Installation Troubleshooting

```` creating build/temp.macosx-10.12-x86_64-3.6/src clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -DMACOSX=1 -I/usr/local/include -I/usr/local/opt/openssl/include -I/usr/local/opt/sqlite/include -I/usr/local/Cellar/python3/3.6.4/Frameworks/Python.framework/Versions/3.6/include/python3.6m -c src/_portaudiomodule.c -o build/temp.macosx-10.12-x86_64-3.6/src/_portaudiomodule.o src/_portaudiomodule.c:29:10: fatal error: 'portaudio.h' file not found #include "portaudio.h" ^~~~~~~~~~~~~ 1 error generated. error: command 'clang' failed with exit status 1

----------------------------------------

Command "/usr/local/opt/python3/bin/python3.6 -u -c "import setuptools, tokenize;file='/private/var/folders/fv/cy3_1czs31q64478bzxd7_m5vdlrd8/T/pip-build-z73z9sim/PyAudio/setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record /var/folders/fv/cy3_1czs31q64478bzxd7_m5vdlrd8/T/pip-wh091sp7-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /private/var/folders/fv/cy3_1czs31q64478bzxd7_m5vdlrd8/T/pip-build-z73z9sim/PyAudio/ You are using pip version 9.0.1, however version 10.0.1 is available. You should consider upgrading via the 'pip install --upgrade pip' command. ` Command to solve the above:brew install portaudio && pip3 install pyaudio```

Traceback (most recent call last): File "MacOS/benji.py", line 3, in <module> from PIL import ImageTk ModuleNotFoundError: No module named 'PIL' Command to solve the above: pip3 install Pillow

Traceback (most recent call last): File "MacOS/benji.py", line 10, in <module> import wikipedia ModuleNotFoundError: No module named 'wikipedia' Command to solve the above: pip3 install wikipedia

Traceback (most recent call last): File "MacOS/benji.py", line 21, in <module> import speech_recognition as sr ModuleNotFoundError: No module named 'speech_recognition' Command to solve the above: pip3 install SpeechRecognition

Traceback (most recent call last): File "MacOS/benji.py", line 23, in <module> import pyttsx3 ModuleNotFoundError: No module named 'pyttsx3' Command to solve the above: pip3 install pyttsx3

Change the pip version above according to what you have installed on your mac.

B.E.N.J.I working in Linux

Working in Linux

B.E.N.J.I working on Windows

Working on Windows

B.E.N.J.I working on Mac

Working on Windows

Contributing

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Contributions are welcomed heartily; any new feature or a bug fix is great! :smile:

FAQs

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  1. How to use B.E.N.J.I. to open a website/webpage?
  2. Say "facebook.com" and B.E.N.J.I. will open the requested page. Here, it's important to specify the top-level domain i.e. ".com".
  3. How to use the news feature?
  4. Say "news the hindu" and B.E.N.J.I. will open list of latest "news" by requested news agency.
  5. How to use the recording feature? (Windows)
  6. "UScreenCapture" and "ffmpeg" needed to run this feature.

License

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The MIT License 2017 - Dhruv Apte.

Issues

Bump certifi from 2017.11.5 to 2022.12.7 in /MacOS

opened on 2022-12-07 23:50:39 by dependabot[bot]

Bumps certifi from 2017.11.5 to 2022.12.7.

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Bump certifi from 2017.11.5 to 2022.12.7 in /linux

opened on 2022-12-07 23:47:34 by dependabot[bot]

Bumps certifi from 2017.11.5 to 2022.12.7.

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Bump pillow from 6.2.0 to 9.3.0 in /MacOS

opened on 2022-11-22 04:28:56 by dependabot[bot]

Bumps pillow from 6.2.0 to 9.3.0.

Release notes

Sourced from pillow's releases.

9.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html

Changes

... (truncated)

Changelog

Sourced from pillow's changelog.

9.3.0 (2022-10-29)

  • Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]

  • Initialize libtiff buffer when saving #6699 [radarhere]

  • Inline fname2char to fix memory leak #6329 [nulano]

  • Fix memory leaks related to text features #6330 [nulano]

  • Use double quotes for version check on old CPython on Windows #6695 [hugovk]

  • Remove backup implementation of Round for Windows platforms #6693 [cgohlke]

  • Fixed set_variation_by_name offset #6445 [radarhere]

  • Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]

  • Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]

  • Added ExifTags enums #6630 [radarhere]

  • Do not modify previous frame when calculating delta in PNG #6683 [radarhere]

  • Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]

  • Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]

  • Added GPS TIFF tag info #6661 [radarhere]

  • Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]

  • Do not attempt normalization if mode is already normal #6644 [radarhere]

... (truncated)

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Bump numpy from 1.13.3 to 1.22.0 in /MacOS

opened on 2022-06-21 21:18:41 by dependabot[bot]

Bumps numpy from 1.13.3 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

  • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
  • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
  • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
  • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
  • A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

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Bump numpy from 1.13.3 to 1.22.0 in /linux

opened on 2022-06-21 21:15:40 by dependabot[bot]

Bumps numpy from 1.13.3 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

  • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
  • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
  • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
  • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
  • A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

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Bump ipython from 5.5.0 to 7.16.3 in /MacOS

opened on 2022-01-21 19:38:08 by dependabot[bot]

Bumps ipython from 5.5.0 to 7.16.3.

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Dhruv Apte

Graduate student at Virginia Tech.

GitHub Repository

python3 speech-recognition speech-to-text digital-assistant