Vaughn Bosu
2 years ago
committed by
GitHub
commit
e14ec48569
@ -1,31 +1,90 @@
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REDDIT_CLIENT_ID=""
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REDDIT_CLIENT_SECRET=""
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REDDIT_USERNAME=""
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REDDIT_CLIENT_ID="" #fFAGRNJru1FTz70BzhT3Zg
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REDDIT_PASSWORD=""
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#EXPLANATION the ID of your Reddit app of SCRIPT type
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#RANGE 12:30
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#MATCH_REGEX [-a-zA-Z0-9._~+/]+=*$
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#OOB_ERROR The ID should be over 12 and under 30 characters, double check your input.
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# If no, it will ask you a thread link to extract the thread, if yes it will randomize it. Default: "no"
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REDDIT_CLIENT_SECRET="" #fFAGRNJru1FTz70BzhT3Zg
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#EXPLANATION the SECRET of your Reddit app of SCRIPT type
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#RANGE 20:40
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#MATCH_REGEX [-a-zA-Z0-9._~+/]+=*$
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#OOB_ERROR The secret should be over 20 and under 40 characters, double check your input.
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REDDIT_USERNAME="" #asdfghjkl
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#EXPLANATION the username of your reddit account
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#RANGE 3:20
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#MATCH_REGEX [_0-9a-zA-Z]+$
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#OOB_ERROR A username HAS to be between 3 and 20 characters
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REDDIT_PASSWORD="" #fFAGRNJru1FTz70BzhT3Zg
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#EXPLANATION the password of your reddit account
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#RANGE 8:None
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#OOB_ERROR Password too short
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#OPTIONAL
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RANDOM_THREAD="no"
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RANDOM_THREAD="no"
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# If set to no, it will ask you a thread link to extract the thread, if yes it will randomize it. Default: "no"
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REDDIT_2FA="" #no
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#MATCH_REGEX ^(yes|no)
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#EXPLANATION Whether you have Reddit 2FA enabled, Valid options are "yes" and "no"
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# Valid options are "yes" and "no" for the variable below
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REDDIT_2FA=""
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SUBREDDIT="AskReddit"
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SUBREDDIT="AskReddit"
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# True or False
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#EXPLANATION what subreddit to pull posts from, the name of the sub, not the URL
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#RANGE 3:20
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#MATCH_REGEX [_0-9a-zA-Z]+$
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#OOB_ERROR A subreddit name HAS to be between 3 and 20 characters
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ALLOW_NSFW="False"
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ALLOW_NSFW="False"
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# Used if you want to use a specific post. example of one is urdtfx
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#EXPLANATION Whether to allow NSFW content, True or False
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#MATCH_REGEX ^(True|False)$
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POST_ID=""
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POST_ID=""
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#set to either LIGHT or DARK
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#MATCH_REGEX ^((?!://|://).)*$
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THEME="LIGHT"
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#EXPLANATION Used if you want to use a specific post. example of one is urdtfx
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# used if you want to run multiple times. set to an int e.g. 4 or 29 and leave blank for 1
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TIMES_TO_RUN=""
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THEME="LIGHT" #dark
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# max number of characters a comment can have.
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#EXPLANATION sets the Reddit theme, either LIGHT or DARK
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MAX_COMMENT_LENGTH="500" # default is 500
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#MATCH_REGEX ^(dark|light|DARK|LIGHT)$
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# Range is 0 -> 1 recommended around 0.8-0.9
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OPACITY="1"
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TIMES_TO_RUN="" #2
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#EXPLANATION used if you want to run multiple times. set to an int e.g. 4 or 29 and leave blank for 1
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MAX_COMMENT_LENGTH="500" #500
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#EXPLANATION max number of characters a comment can have. default is 500
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#RANGE 0:10000
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#MATCH_TYPE int
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#OOB_ERROR the max comment length should be between 0 and 10000
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OPACITY="1" #.8
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#EXPLANATION Sets the opacity of the comments when overlayed over the background
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#RANGE 0:1
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#MATCH_TYPE float
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#OOB_ERROR The opacity HAS to be between 0 and 1
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# If you want to translate the comments to another language, set the language code here.
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# If empty, no translation will be done.
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POSTLANG=""
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#EXPLANATION Activates the translation feature, set the language code for translate or leave blank
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# see different voice options: todo: add docs
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# see different voice options: todo: add docs
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VOICE="Matthew" # e.g. en_us_002
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VOICE="Matthew" # e.g. en_us_002
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TTsChoice="polly"
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#EXPLANATION sets the voice the TTS uses
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# IN-PROGRESS - not yet implemented
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TTSCHOICE="Polly"
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#EXPLANATION the backend used for TTS. Without anything specified, the user will be prompted to choose one.
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# IMPORTANT NOTE: if you use translate, you need to set this to googletranslate or tiktok and use custom voice in your language
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STREAMLABS_VOICE="Joanna"
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#EXPLANATION Sets the voice for the Streamlabs Polly TTS Engine. Check the file for more information on different voices.
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AWS_VOICE="Joanna"
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#EXPLANATION Sets the voice for the AWS Polly TTS Engine. Check the file for more information on different voices.
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TIKTOK_VOICE="en_us_006"
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#EXPLANATION Sets the voice for the TikTok TTS Engine. Check the file for more information on different voices.
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#OPTIONAL
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STORYMODE="False"
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STORYMODE="False"
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# IN-PROGRESS - not yet implemented
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@ -0,0 +1,25 @@
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# Description
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<!-- Please include a summary of the change and which issue is fixed. Please also include relevant context. List any dependencies that are required for this change. -->
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# Issue Fixes
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<!-- Fixes #(issue) if relevant-->
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None
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# Checklist:
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- [ ] I am pushing changes to the **develop** branch
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- [ ] I am using the recommended development environment
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- [ ] I have performed a self-review of my own code
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- [ ] I have commented my code, particularly in hard-to-understand areas
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- [ ] I have formatted and linted my code using python-black and pylint
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- [ ] I have cleaned up unnecessary files
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- [ ] My changes generate no new warnings
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- [ ] My changes follow the existing code-style
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- [ ] My changes are relevant to the project
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# Any other information (e.g how to test the changes)
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None
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@ -0,0 +1,127 @@
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# Contributor Covenant Code of Conduct
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## Our Pledge
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We as members, contributors, and leaders pledge to make participation in our
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|
community a harassment-free experience for everyone, regardless of age, body
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size, visible or invisible disability, ethnicity, sex characteristics, gender
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identity and expression, level of experience, education, socio-economic status,
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nationality, personal appearance, race, religion, or sexual identity
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and orientation.
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We pledge to act and interact in ways that contribute to an open, welcoming,
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diverse, inclusive, and healthy community.
|
||||||
|
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||||||
|
## Our Standards
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||||||
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||||||
|
Examples of behavior that contributes to a positive environment for our
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||||||
|
community include:
|
||||||
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||||||
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- Demonstrating empathy and kindness toward other people
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||||||
|
- Being respectful of differing opinions, viewpoints, and experiences
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||||||
|
- Giving and gracefully accepting constructive feedback
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||||||
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- Accepting responsibility and apologizing to those affected by our mistakes,
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||||||
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and learning from the experience
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- Focusing on what is best not just for us as individuals, but for the
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overall community
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||||||
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Examples of unacceptable behavior include:
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- The use of sexualized language or imagery, and sexual attention or
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advances of any kind
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- Trolling, insulting or derogatory comments, and personal or political attacks
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- Public or private harassment
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- Publishing others' private information, such as a physical or email
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||||||
|
address, without their explicit permission
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||||||
|
- Other conduct which could reasonably be considered inappropriate in a
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professional setting
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||||||
|
|
||||||
|
## Enforcement Responsibilities
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||||||
|
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||||||
|
Community leaders are responsible for clarifying and enforcing our standards of
|
||||||
|
acceptable behavior and will take appropriate and fair corrective action in
|
||||||
|
response to any behavior that they deem inappropriate, threatening, offensive,
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||||||
|
or harmful.
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||||||
|
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||||||
|
Community leaders have the right and responsibility to remove, edit, or reject
|
||||||
|
comments, commits, code, wiki edits, issues, and other contributions that are
|
||||||
|
not aligned to this Code of Conduct, and will communicate reasons for moderation
|
||||||
|
decisions when appropriate.
|
||||||
|
|
||||||
|
## Scope
|
||||||
|
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||||||
|
This Code of Conduct applies within all community spaces, and also applies when
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an individual is officially representing the community in public spaces.
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|
Examples of representing our community include using an official e-mail address,
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posting via an official social media account, or acting as an appointed
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representative at an online or offline event.
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||||||
|
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## Enforcement
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||||||
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Instances of abusive, harassing, or otherwise unacceptable behavior may be
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reported to the community leaders responsible for enforcement at the [discord server](https://discord.gg/yqNvvDMYpq).
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All complaints will be reviewed and investigated promptly and fairly.
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|
All community leaders are obligated to respect the privacy and security of the
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reporter of any incident.
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## Enforcement Guidelines
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Community leaders will follow these Community Impact Guidelines in determining
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the consequences for any action they deem in violation of this Code of Conduct:
|
||||||
|
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||||||
|
### 1. Correction
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**Community Impact**: Use of inappropriate language or other behavior deemed
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unprofessional or unwelcome in the community.
|
||||||
|
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||||||
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**Consequence**: A private, written warning from community leaders, providing
|
||||||
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clarity around the nature of the violation and an explanation of why the
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||||||
|
behavior was inappropriate. A public apology may be requested.
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||||||
|
### 2. Warning
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**Community Impact**: A violation through a single incident or series
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of actions.
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|
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||||||
|
**Consequence**: A warning with consequences for continued behavior. No
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|
interaction with the people involved, including unsolicited interaction with
|
||||||
|
those enforcing the Code of Conduct, for a specified period of time. This
|
||||||
|
includes avoiding interactions in community spaces as well as external channels
|
||||||
|
like social media. Violating these terms may lead to a temporary or
|
||||||
|
permanent ban.
|
||||||
|
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||||||
|
### 3. Temporary Ban
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||||||
|
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||||||
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**Community Impact**: A serious violation of community standards, including
|
||||||
|
sustained inappropriate behavior.
|
||||||
|
|
||||||
|
**Consequence**: A temporary ban from any sort of interaction or public
|
||||||
|
communication with the community for a specified period of time. No public or
|
||||||
|
private interaction with the people involved, including unsolicited interaction
|
||||||
|
with those enforcing the Code of Conduct, is allowed during this period.
|
||||||
|
Violating these terms may lead to a permanent ban.
|
||||||
|
|
||||||
|
### 4. Permanent Ban
|
||||||
|
|
||||||
|
**Community Impact**: Demonstrating a pattern of violation of community
|
||||||
|
standards, including sustained inappropriate behavior, harassment of an
|
||||||
|
individual, or aggression toward or disparagement of classes of individuals.
|
||||||
|
|
||||||
|
**Consequence**: A permanent ban from any sort of public interaction within
|
||||||
|
the community.
|
||||||
|
|
||||||
|
## Attribution
|
||||||
|
|
||||||
|
This Code of Conduct is adapted from the [Contributor Covenant][homepage],
|
||||||
|
version 2.0, available at
|
||||||
|
https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
|
||||||
|
|
||||||
|
Community Impact Guidelines were inspired by [Mozilla's code of conduct
|
||||||
|
enforcement ladder](https://github.com/mozilla/diversity).
|
||||||
|
|
||||||
|
[homepage]: https://www.contributor-covenant.org
|
||||||
|
|
||||||
|
For answers to common questions about this code of conduct, see the FAQ at
|
||||||
|
https://www.contributor-covenant.org/faq. Translations are available at
|
||||||
|
https://www.contributor-covenant.org/translations.
|
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@ -1,13 +1,19 @@
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#!/usr/bin/env python3
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import random
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import os
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from gtts import gTTS
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from gtts import gTTS
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max_chars = 0
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class GTTS:
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class GTTS:
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def tts(
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def __init__(self):
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self,
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self.max_chars = 0
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req_text: str = "Google Text To Speech",
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self.voices = []
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filename: str = "title.mp3",
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random_speaker=False,
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def run(self, text, filepath):
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censor=False,
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tts = gTTS(text=text, lang=os.getenv("POSTLANG") or "en", slow=False)
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):
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tts.save(filepath)
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tts = gTTS(text=req_text, lang="en", slow=False)
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tts.save(f"{filename}")
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def randomvoice(self):
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return random.choice(self.voices)
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@ -1,106 +0,0 @@
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import os
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import random
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import re
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import requests
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import sox
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from moviepy.audio.AudioClip import concatenate_audioclips, CompositeAudioClip
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from moviepy.audio.io.AudioFileClip import AudioFileClip
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from requests.exceptions import JSONDecodeError
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voices = [
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"Brian",
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"Emma",
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"Russell",
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"Joey",
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"Matthew",
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"Joanna",
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"Kimberly",
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"Amy",
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"Geraint",
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"Nicole",
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"Justin",
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"Ivy",
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"Kendra",
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"Salli",
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"Raveena",
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]
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# valid voices https://lazypy.ro/tts/
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class POLLY:
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def __init__(self):
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self.url = "https://streamlabs.com/polly/speak"
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|
|
||||||
def tts(
|
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||||||
self,
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req_text: str = "Amazon Text To Speech",
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filename: str = "title.mp3",
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random_speaker=False,
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censor=False,
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||||||
):
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||||||
if random_speaker:
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||||||
voice = self.randomvoice()
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||||||
else:
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|
||||||
if not os.getenv("VOICE"):
|
|
||||||
return ValueError(
|
|
||||||
"Please set the environment variable VOICE to a valid voice. options are: {}".format(
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|
||||||
voices
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||||||
)
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||||||
)
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||||||
voice = str(os.getenv("VOICE")).capitalize()
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||||||
body = {"voice": voice, "text": req_text, "service": "polly"}
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||||||
response = requests.post(self.url, data=body)
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||||||
try:
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||||||
voice_data = requests.get(response.json()["speak_url"])
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|
||||||
with open(filename, "wb") as f:
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|
||||||
f.write(voice_data.content)
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|
||||||
except (KeyError, JSONDecodeError):
|
|
||||||
if response.json()["error"] == "Text length is too long!":
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|
||||||
chunks = [m.group().strip() for m in re.finditer(r" *((.{0,499})(\.|.$))", req_text)]
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|
||||||
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|
||||||
audio_clips = []
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|
||||||
cbn = sox.Combiner()
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|
||||||
|
|
||||||
chunkId = 0
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|
||||||
for chunk in chunks:
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||||||
body = {"voice": voice, "text": chunk, "service": "polly"}
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|
||||||
resp = requests.post(self.url, data=body)
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|
||||||
voice_data = requests.get(resp.json()["speak_url"])
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with open(filename.replace(".mp3", f"-{chunkId}.mp3"), "wb") as out:
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out.write(voice_data.content)
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||||||
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audio_clips.append(filename.replace(".mp3", f"-{chunkId}.mp3"))
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||||||
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chunkId = chunkId + 1
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try:
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||||||
if len(audio_clips) > 1:
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|
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cbn.convert(samplerate=44100, n_channels=2)
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|
||||||
cbn.build(audio_clips, filename, "concatenate")
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||||||
else:
|
|
||||||
os.rename(audio_clips[0], filename)
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|
||||||
except (
|
|
||||||
sox.core.SoxError,
|
|
||||||
FileNotFoundError,
|
|
||||||
): # https://github.com/JasonLovesDoggo/RedditVideoMakerBot/issues/67#issuecomment-1150466339
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|
||||||
for clip in audio_clips:
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||||||
i = audio_clips.index(clip) # get the index of the clip
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|
||||||
audio_clips = (
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|
||||||
audio_clips[:i] + [AudioFileClip(clip)] + audio_clips[i + 1 :]
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|
||||||
) # replace the clip with an AudioFileClip
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|
||||||
audio_concat = concatenate_audioclips(audio_clips)
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|
||||||
audio_composite = CompositeAudioClip([audio_concat])
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|
||||||
audio_composite.write_audiofile(filename, 44100, 2, 2000, None)
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|
||||||
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|
||||||
def make_readable(self, text):
|
|
||||||
"""
|
|
||||||
Amazon Polly fails to read some symbols properly such as '& (and)'.
|
|
||||||
So we normalize input text before passing it to the service
|
|
||||||
"""
|
|
||||||
text = text.replace("&", "and")
|
|
||||||
return text
|
|
||||||
|
|
||||||
def randomvoice(self):
|
|
||||||
return random.choice(voices)
|
|
||||||
@ -0,0 +1,66 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
from boto3 import Session
|
||||||
|
from botocore.exceptions import BotoCoreError, ClientError
|
||||||
|
import sys
|
||||||
|
import os
|
||||||
|
import random
|
||||||
|
|
||||||
|
voices = [
|
||||||
|
"Brian",
|
||||||
|
"Emma",
|
||||||
|
"Russell",
|
||||||
|
"Joey",
|
||||||
|
"Matthew",
|
||||||
|
"Joanna",
|
||||||
|
"Kimberly",
|
||||||
|
"Amy",
|
||||||
|
"Geraint",
|
||||||
|
"Nicole",
|
||||||
|
"Justin",
|
||||||
|
"Ivy",
|
||||||
|
"Kendra",
|
||||||
|
"Salli",
|
||||||
|
"Raveena",
|
||||||
|
]
|
||||||
|
|
||||||
|
|
||||||
|
class AWSPolly:
|
||||||
|
def __init__(self):
|
||||||
|
self.max_chars = 0
|
||||||
|
self.voices = voices
|
||||||
|
|
||||||
|
def run(self, text, filepath, random_voice: bool = False):
|
||||||
|
session = Session(profile_name="polly")
|
||||||
|
polly = session.client("polly")
|
||||||
|
if random_voice:
|
||||||
|
voice = self.randomvoice()
|
||||||
|
else:
|
||||||
|
if not os.getenv("VOICE"):
|
||||||
|
return ValueError(
|
||||||
|
f"Please set the environment variable VOICE to a valid voice. options are: {voices}"
|
||||||
|
)
|
||||||
|
voice = str(os.getenv("AWS_VOICE")).capitalize()
|
||||||
|
try:
|
||||||
|
# Request speech synthesis
|
||||||
|
response = polly.synthesize_speech(
|
||||||
|
Text=text, OutputFormat="mp3", VoiceId=voice, Engine="neural"
|
||||||
|
)
|
||||||
|
except (BotoCoreError, ClientError) as error:
|
||||||
|
# The service returned an error, exit gracefully
|
||||||
|
print(error)
|
||||||
|
sys.exit(-1)
|
||||||
|
|
||||||
|
# Access the audio stream from the response
|
||||||
|
if "AudioStream" in response:
|
||||||
|
file = open(filepath, "wb")
|
||||||
|
file.write(response["AudioStream"].read())
|
||||||
|
file.close()
|
||||||
|
# print_substep(f"Saved Text {idx} to MP3 files successfully.", style="bold green")
|
||||||
|
|
||||||
|
else:
|
||||||
|
# The response didn't contain audio data, exit gracefully
|
||||||
|
print("Could not stream audio")
|
||||||
|
sys.exit(-1)
|
||||||
|
|
||||||
|
def randomvoice(self):
|
||||||
|
return random.choice(self.voices)
|
||||||
@ -0,0 +1,110 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
from pathlib import Path
|
||||||
|
from typing import Tuple
|
||||||
|
import re
|
||||||
|
from os import getenv
|
||||||
|
from mutagen.mp3 import MP3
|
||||||
|
import translators as ts
|
||||||
|
from rich.progress import track
|
||||||
|
from moviepy.editor import AudioFileClip, CompositeAudioClip, concatenate_audioclips
|
||||||
|
from utils.console import print_step, print_substep
|
||||||
|
from utils.voice import sanitize_text
|
||||||
|
|
||||||
|
|
||||||
|
class TTSEngine:
|
||||||
|
|
||||||
|
"""Calls the given TTS engine to reduce code duplication and allow multiple TTS engines.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
tts_module : The TTS module. Your module should handle the TTS itself and saving to the given path under the run method.
|
||||||
|
reddit_object : The reddit object that contains the posts to read.
|
||||||
|
path (Optional) : The unix style path to save the mp3 files to. This must not have leading or trailing slashes.
|
||||||
|
max_length (Optional) : The maximum length of the mp3 files in total.
|
||||||
|
|
||||||
|
Notes:
|
||||||
|
tts_module must take the arguments text and filepath.
|
||||||
|
"""
|
||||||
|
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
tts_module,
|
||||||
|
reddit_object: dict,
|
||||||
|
path: str = "assets/temp/mp3",
|
||||||
|
max_length: int = 50,
|
||||||
|
):
|
||||||
|
self.tts_module = tts_module()
|
||||||
|
self.reddit_object = reddit_object
|
||||||
|
self.path = path
|
||||||
|
self.max_length = max_length
|
||||||
|
self.length = 0
|
||||||
|
|
||||||
|
def run(self) -> Tuple[int, int]:
|
||||||
|
|
||||||
|
Path(self.path).mkdir(parents=True, exist_ok=True)
|
||||||
|
|
||||||
|
# This file needs to be removed in case this post does not use post text, so that it wont appear in the final video
|
||||||
|
try:
|
||||||
|
Path(f"{self.path}/posttext.mp3").unlink()
|
||||||
|
except OSError:
|
||||||
|
pass
|
||||||
|
|
||||||
|
print_step("Saving Text to MP3 files...")
|
||||||
|
|
||||||
|
self.call_tts("title", self.reddit_object["thread_title"])
|
||||||
|
if (
|
||||||
|
self.reddit_object["thread_post"] != ""
|
||||||
|
and getenv("STORYMODE", "").casefold() == "true"
|
||||||
|
):
|
||||||
|
self.call_tts("posttext", self.reddit_object["thread_post"])
|
||||||
|
|
||||||
|
idx = None
|
||||||
|
for idx, comment in track(
|
||||||
|
enumerate(self.reddit_object["comments"]), "Saving..."
|
||||||
|
):
|
||||||
|
# ! Stop creating mp3 files if the length is greater than max length.
|
||||||
|
if self.length > self.max_length:
|
||||||
|
break
|
||||||
|
if not self.tts_module.max_chars:
|
||||||
|
self.call_tts(f"{idx}", comment["comment_body"])
|
||||||
|
else:
|
||||||
|
self.split_post(comment["comment_body"], idx)
|
||||||
|
|
||||||
|
print_substep("Saved Text to MP3 files successfully.", style="bold green")
|
||||||
|
return self.length, idx
|
||||||
|
|
||||||
|
def split_post(self, text: str, idx: int) -> str:
|
||||||
|
split_files = []
|
||||||
|
split_text = [
|
||||||
|
x.group().strip()
|
||||||
|
for x in re.finditer(
|
||||||
|
rf" *((.{{0,{self.tts_module.max_chars}}})(\.|.$))", text
|
||||||
|
)
|
||||||
|
]
|
||||||
|
|
||||||
|
idy = None
|
||||||
|
for idy, text_cut in enumerate(split_text):
|
||||||
|
# print(f"{idx}-{idy}: {text_cut}\n")
|
||||||
|
self.call_tts(f"{idx}-{idy}.part", text_cut)
|
||||||
|
split_files.append(AudioFileClip(f"{self.path}/{idx}-{idy}.part.mp3"))
|
||||||
|
CompositeAudioClip([concatenate_audioclips(split_files)]).write_audiofile(
|
||||||
|
f"{self.path}/{idx}.mp3", fps=44100, verbose=False, logger=None
|
||||||
|
)
|
||||||
|
|
||||||
|
for i in range(0, idy + 1):
|
||||||
|
# print(f"Cleaning up {self.path}/{idx}-{i}.part.mp3")
|
||||||
|
Path(f"{self.path}/{idx}-{i}.part.mp3").unlink()
|
||||||
|
|
||||||
|
def call_tts(self, filename: str, text: str):
|
||||||
|
self.tts_module.run(
|
||||||
|
text=process_text(text), filepath=f"{self.path}/{filename}.mp3"
|
||||||
|
)
|
||||||
|
self.length += MP3(f"{self.path}/{filename}.mp3").info.length
|
||||||
|
|
||||||
|
|
||||||
|
def process_text(text: str):
|
||||||
|
lang = getenv("POSTLANG", "")
|
||||||
|
new_text = sanitize_text(text)
|
||||||
|
if lang:
|
||||||
|
print_substep("Translating Text...")
|
||||||
|
new_text = ts.google(text, to_language=lang)
|
||||||
|
return new_text
|
||||||
@ -0,0 +1,53 @@
|
|||||||
|
import random
|
||||||
|
import os
|
||||||
|
import requests
|
||||||
|
from requests.exceptions import JSONDecodeError
|
||||||
|
|
||||||
|
voices = [
|
||||||
|
"Brian",
|
||||||
|
"Emma",
|
||||||
|
"Russell",
|
||||||
|
"Joey",
|
||||||
|
"Matthew",
|
||||||
|
"Joanna",
|
||||||
|
"Kimberly",
|
||||||
|
"Amy",
|
||||||
|
"Geraint",
|
||||||
|
"Nicole",
|
||||||
|
"Justin",
|
||||||
|
"Ivy",
|
||||||
|
"Kendra",
|
||||||
|
"Salli",
|
||||||
|
"Raveena",
|
||||||
|
]
|
||||||
|
|
||||||
|
|
||||||
|
# valid voices https://lazypy.ro/tts/
|
||||||
|
|
||||||
|
|
||||||
|
class StreamlabsPolly:
|
||||||
|
def __init__(self):
|
||||||
|
self.url = "https://streamlabs.com/polly/speak"
|
||||||
|
self.max_chars = 550
|
||||||
|
self.voices = voices
|
||||||
|
|
||||||
|
def run(self, text, filepath, random_voice: bool = False):
|
||||||
|
if random_voice:
|
||||||
|
voice = self.randomvoice()
|
||||||
|
else:
|
||||||
|
if not os.getenv("VOICE"):
|
||||||
|
return ValueError(
|
||||||
|
f"Please set the environment variable VOICE to a valid voice. options are: {voices}"
|
||||||
|
)
|
||||||
|
voice = str(os.getenv("STREAMLABS_VOICE")).capitalize()
|
||||||
|
body = {"voice": voice, "text": text, "service": "polly"}
|
||||||
|
response = requests.post(self.url, data=body)
|
||||||
|
try:
|
||||||
|
voice_data = requests.get(response.json()["speak_url"])
|
||||||
|
with open(filepath, "wb") as f:
|
||||||
|
f.write(voice_data.content)
|
||||||
|
except (KeyError, JSONDecodeError):
|
||||||
|
print("Error occured calling Streamlabs Polly")
|
||||||
|
|
||||||
|
def randomvoice(self):
|
||||||
|
return random.choice(self.voices)
|
||||||
@ -1,24 +0,0 @@
|
|||||||
from os import getenv
|
|
||||||
|
|
||||||
from dotenv import load_dotenv
|
|
||||||
|
|
||||||
from TTS.GTTS import GTTS
|
|
||||||
from TTS.POLLY import POLLY
|
|
||||||
from TTS.TikTok import TikTok
|
|
||||||
from utils.console import print_substep
|
|
||||||
|
|
||||||
CHOICE_DIR = {"tiktok": TikTok, "gtts": GTTS, "polly": POLLY}
|
|
||||||
|
|
||||||
|
|
||||||
class TTS:
|
|
||||||
def __new__(cls):
|
|
||||||
load_dotenv()
|
|
||||||
try:
|
|
||||||
CHOICE = getenv("TTsChoice").casefold()
|
|
||||||
except AttributeError:
|
|
||||||
print_substep("None defined. Defaulting to 'polly.'")
|
|
||||||
CHOICE = "polly"
|
|
||||||
valid_keys = [key.lower() for key in CHOICE_DIR.keys()]
|
|
||||||
if CHOICE not in valid_keys:
|
|
||||||
raise ValueError(f"{CHOICE} is not valid. Please use one of these {valid_keys} options")
|
|
||||||
return CHOICE_DIR.get(CHOICE)()
|
|
||||||
@ -0,0 +1,195 @@
|
|||||||
|
#!/usr/bin/env python
|
||||||
|
import os
|
||||||
|
from rich.console import Console
|
||||||
|
from rich.table import Table
|
||||||
|
from rich import box
|
||||||
|
import re
|
||||||
|
import dotenv
|
||||||
|
from utils.console import handle_input
|
||||||
|
|
||||||
|
console = Console()
|
||||||
|
|
||||||
|
|
||||||
|
def check_env() -> bool:
|
||||||
|
"""Checks to see what's been put in .env
|
||||||
|
|
||||||
|
Returns:
|
||||||
|
bool: Whether or not everything was put in properly
|
||||||
|
"""
|
||||||
|
if not os.path.exists(".env.template"):
|
||||||
|
console.print("[red]Couldn't find .env.template. Unable to check variables.")
|
||||||
|
return True
|
||||||
|
if not os.path.exists(".env"):
|
||||||
|
console.print("[red]Couldn't find the .env file, creating one now.")
|
||||||
|
with open(".env", "x") as file:
|
||||||
|
file.write("")
|
||||||
|
success = True
|
||||||
|
with open(".env.template", "r") as template:
|
||||||
|
# req_envs = [env.split("=")[0] for env in template.readlines() if "=" in env]
|
||||||
|
matching = {}
|
||||||
|
explanations = {}
|
||||||
|
bounds = {}
|
||||||
|
types = {}
|
||||||
|
oob_errors = {}
|
||||||
|
examples = {}
|
||||||
|
req_envs = []
|
||||||
|
var_optional = False
|
||||||
|
for line in template.readlines():
|
||||||
|
if line.startswith("#") is not True and "=" in line and var_optional is not True:
|
||||||
|
req_envs.append(line.split("=")[0])
|
||||||
|
if "#" in line:
|
||||||
|
examples[line.split("=")[0]] = "#".join(line.split("#")[1:]).strip()
|
||||||
|
elif "#OPTIONAL" in line:
|
||||||
|
var_optional = True
|
||||||
|
elif line.startswith("#MATCH_REGEX "):
|
||||||
|
matching[req_envs[-1]] = line.removeprefix("#MATCH_REGEX ")[:-1]
|
||||||
|
var_optional = False
|
||||||
|
elif line.startswith("#OOB_ERROR "):
|
||||||
|
oob_errors[req_envs[-1]] = line.removeprefix("#OOB_ERROR ")[:-1]
|
||||||
|
var_optional = False
|
||||||
|
elif line.startswith("#RANGE "):
|
||||||
|
bounds[req_envs[-1]] = tuple(
|
||||||
|
map(
|
||||||
|
lambda x: float(x) if x != "None" else None,
|
||||||
|
line.removeprefix("#RANGE ")[:-1].split(":"),
|
||||||
|
)
|
||||||
|
)
|
||||||
|
var_optional = False
|
||||||
|
elif line.startswith("#MATCH_TYPE "):
|
||||||
|
types[req_envs[-1]] = eval(line.removeprefix("#MATCH_TYPE ")[:-1].split()[0])
|
||||||
|
var_optional = False
|
||||||
|
elif line.startswith("#EXPLANATION "):
|
||||||
|
explanations[req_envs[-1]] = line.removeprefix("#EXPLANATION ")[:-1]
|
||||||
|
var_optional = False
|
||||||
|
else:
|
||||||
|
var_optional = False
|
||||||
|
missing = set()
|
||||||
|
incorrect = set()
|
||||||
|
dotenv.load_dotenv()
|
||||||
|
for env in req_envs:
|
||||||
|
value = os.getenv(env)
|
||||||
|
if value is None:
|
||||||
|
missing.add(env)
|
||||||
|
continue
|
||||||
|
if env in matching.keys():
|
||||||
|
re.match(matching[env], value) is None and incorrect.add(env)
|
||||||
|
if env in bounds.keys() and env not in types.keys():
|
||||||
|
len(value) >= bounds[env][0] or (
|
||||||
|
len(bounds[env]) > 1 and bounds[env][1] >= len(value)
|
||||||
|
) or incorrect.add(env)
|
||||||
|
continue
|
||||||
|
if env in types.keys():
|
||||||
|
try:
|
||||||
|
temp = types[env](value)
|
||||||
|
if env in bounds.keys():
|
||||||
|
(bounds[env][0] <= temp or incorrect.add(env)) and len(bounds[env]) > 1 and (
|
||||||
|
bounds[env][1] >= temp or incorrect.add(env)
|
||||||
|
)
|
||||||
|
except ValueError:
|
||||||
|
incorrect.add(env)
|
||||||
|
|
||||||
|
if len(missing):
|
||||||
|
table = Table(
|
||||||
|
title="Missing variables",
|
||||||
|
highlight=True,
|
||||||
|
show_lines=True,
|
||||||
|
box=box.ROUNDED,
|
||||||
|
border_style="#414868",
|
||||||
|
header_style="#C0CAF5 bold",
|
||||||
|
title_justify="left",
|
||||||
|
title_style="#C0CAF5 bold",
|
||||||
|
)
|
||||||
|
table.add_column("Variable", justify="left", style="#7AA2F7 bold", no_wrap=True)
|
||||||
|
table.add_column("Explanation", justify="left", style="#BB9AF7", no_wrap=False)
|
||||||
|
table.add_column("Example", justify="center", style="#F7768E", no_wrap=True)
|
||||||
|
table.add_column("Min", justify="right", style="#F7768E", no_wrap=True)
|
||||||
|
table.add_column("Max", justify="left", style="#F7768E", no_wrap=True)
|
||||||
|
for env in missing:
|
||||||
|
table.add_row(
|
||||||
|
env,
|
||||||
|
explanations[env] if env in explanations.keys() else "No explanation given",
|
||||||
|
examples[env] if env in examples.keys() else "",
|
||||||
|
str(bounds[env][0]) if env in bounds.keys() and bounds[env][1] is not None else "",
|
||||||
|
str(bounds[env][1])
|
||||||
|
if env in bounds.keys() and len(bounds[env]) > 1 and bounds[env][1] is not None
|
||||||
|
else "",
|
||||||
|
)
|
||||||
|
console.print(table)
|
||||||
|
success = False
|
||||||
|
if len(incorrect):
|
||||||
|
table = Table(
|
||||||
|
title="Incorrect variables",
|
||||||
|
highlight=True,
|
||||||
|
show_lines=True,
|
||||||
|
box=box.ROUNDED,
|
||||||
|
border_style="#414868",
|
||||||
|
header_style="#C0CAF5 bold",
|
||||||
|
title_justify="left",
|
||||||
|
title_style="#C0CAF5 bold",
|
||||||
|
)
|
||||||
|
table.add_column("Variable", justify="left", style="#7AA2F7 bold", no_wrap=True)
|
||||||
|
table.add_column("Current value", justify="left", style="#F7768E", no_wrap=False)
|
||||||
|
table.add_column("Explanation", justify="left", style="#BB9AF7", no_wrap=False)
|
||||||
|
table.add_column("Example", justify="center", style="#F7768E", no_wrap=True)
|
||||||
|
table.add_column("Min", justify="right", style="#F7768E", no_wrap=True)
|
||||||
|
table.add_column("Max", justify="left", style="#F7768E", no_wrap=True)
|
||||||
|
for env in incorrect:
|
||||||
|
table.add_row(
|
||||||
|
env,
|
||||||
|
os.getenv(env),
|
||||||
|
explanations[env] if env in explanations.keys() else "No explanation given",
|
||||||
|
str(types[env].__name__) if env in types.keys() else "str",
|
||||||
|
str(bounds[env][0]) if env in bounds.keys() else "None",
|
||||||
|
str(bounds[env][1]) if env in bounds.keys() and len(bounds[env]) > 1 else "None",
|
||||||
|
)
|
||||||
|
missing.add(env)
|
||||||
|
console.print(table)
|
||||||
|
success = False
|
||||||
|
if success is True:
|
||||||
|
return True
|
||||||
|
console.print(
|
||||||
|
"[green]Do you want to automatically overwrite incorrect variables and add the missing variables? (y/n)"
|
||||||
|
)
|
||||||
|
if not input().casefold().startswith("y"):
|
||||||
|
console.print("[red]Aborting: Unresolved missing variables")
|
||||||
|
return False
|
||||||
|
if len(incorrect):
|
||||||
|
with open(".env", "r+") as env_file:
|
||||||
|
lines = []
|
||||||
|
for line in env_file.readlines():
|
||||||
|
line.split("=")[0].strip() not in incorrect and lines.append(line)
|
||||||
|
env_file.seek(0)
|
||||||
|
env_file.write("\n".join(lines))
|
||||||
|
env_file.truncate()
|
||||||
|
console.print("[green]Successfully removed incorrectly set variables from .env")
|
||||||
|
with open(".env", "a") as env_file:
|
||||||
|
for env in missing:
|
||||||
|
env_file.write(
|
||||||
|
env
|
||||||
|
+ "="
|
||||||
|
+ ('"' if env not in types.keys() else "")
|
||||||
|
+ str(
|
||||||
|
handle_input(
|
||||||
|
"[#F7768E bold]" + env + "[#C0CAF5 bold]=",
|
||||||
|
types[env] if env in types.keys() else False,
|
||||||
|
matching[env] if env in matching.keys() else ".*",
|
||||||
|
explanations[env]
|
||||||
|
if env in explanations.keys()
|
||||||
|
else "Incorrect input. Try again.",
|
||||||
|
bounds[env][0] if env in bounds.keys() else None,
|
||||||
|
bounds[env][1] if env in bounds.keys() and len(bounds[env]) > 1 else None,
|
||||||
|
oob_errors[env] if env in oob_errors.keys() else "Input too long/short.",
|
||||||
|
extra_info="[#C0CAF5 bold]⮶ "
|
||||||
|
+ (
|
||||||
|
explanations[env] if env in explanations.keys() else "No info available"
|
||||||
|
),
|
||||||
|
)
|
||||||
|
)
|
||||||
|
+ ('"' if env not in types.keys() else "")
|
||||||
|
+ "\n"
|
||||||
|
)
|
||||||
|
return True
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
check_env()
|
||||||
@ -1,9 +0,0 @@
|
|||||||
$envFile = Get-Content ".\.env.template"
|
|
||||||
|
|
||||||
$envFile -split "=" | Where-Object {$_ -notmatch '\"'} | Set-Content ".\envVarsbefSpl.txt"
|
|
||||||
Get-Content ".\envVarsbefSpl.txt" | Where-Object {$_ -notmatch '\#'} | Set-Content ".\envVarsN.txt"
|
|
||||||
Get-Content ".\envVarsN.txt" | Where-Object {$_ -ne ''} | Set-Content ".\video_creation\data\envvars.txt"
|
|
||||||
Remove-Item ".\envVarsbefSpl.txt"
|
|
||||||
Remove-Item ".\envVarsN.txt"
|
|
||||||
|
|
||||||
Write-Host $nowSplit
|
|
||||||
@ -1,9 +0,0 @@
|
|||||||
$envFile = Get-Content ".\.env"
|
|
||||||
|
|
||||||
$envFile -split "=" | Where-Object {$_ -notmatch '\"'} | Set-Content ".\envVarsbefSpl.txt"
|
|
||||||
Get-Content ".\envVarsbefSpl.txt" | Where-Object {$_ -notmatch '\#'} | Set-Content ".\envVarsN.txt"
|
|
||||||
Get-Content ".\envVarsN.txt" | Where-Object {$_ -ne ''} | Set-Content ".\video_creation\data\envvars.txt"
|
|
||||||
Remove-Item ".\envVarsbefSpl.txt"
|
|
||||||
Remove-Item ".\envVarsN.txt"
|
|
||||||
|
|
||||||
Write-Host $nowSplit
|
|
||||||
@ -1,79 +1,67 @@
|
|||||||
#!/usr/bin/env python3
|
#!/usr/bin/env python
|
||||||
from os import getenv
|
|
||||||
from pathlib import Path
|
import os
|
||||||
|
|
||||||
import sox
|
|
||||||
from mutagen import MutagenError
|
|
||||||
from mutagen.mp3 import MP3, HeaderNotFoundError
|
|
||||||
from rich.console import Console
|
from rich.console import Console
|
||||||
from rich.progress import track
|
|
||||||
|
|
||||||
from TTS.swapper import TTS
|
from TTS.engine_wrapper import TTSEngine
|
||||||
|
from TTS.GTTS import GTTS
|
||||||
|
from TTS.streamlabs_polly import StreamlabsPolly
|
||||||
|
from TTS.aws_polly import AWSPolly
|
||||||
|
from TTS.TikTok import TikTok
|
||||||
|
|
||||||
|
from utils.console import print_table, print_step
|
||||||
|
|
||||||
from utils.console import print_step, print_substep
|
|
||||||
from utils.voice import sanitize_text
|
|
||||||
|
|
||||||
console = Console()
|
console = Console()
|
||||||
|
|
||||||
|
TTSProviders = {
|
||||||
|
"GoogleTranslate": GTTS,
|
||||||
|
"AWSPolly": AWSPolly,
|
||||||
|
"StreamlabsPolly": StreamlabsPolly,
|
||||||
|
"TikTok": TikTok,
|
||||||
|
}
|
||||||
|
|
||||||
VIDEO_LENGTH: int = 40 # secs
|
VIDEO_LENGTH: int = 40 # secs
|
||||||
|
|
||||||
|
|
||||||
def save_text_to_mp3(reddit_obj):
|
def save_text_to_mp3(reddit_obj:dict[str])->tuple[int,int]:
|
||||||
"""Saves Text to MP3 files.
|
"""Saves text to MP3 files. Goes through the reddit_obj and generates the title MP3 file and a certain number of comments until the total amount of time exceeds VIDEO_LENGTH seconds.
|
||||||
|
|
||||||
Args:
|
Args:
|
||||||
reddit_obj : The reddit object you received from the reddit API in the askreddit.py file.
|
reddit_obj (dict[str]): Reddit object received from reddit API in reddit/subreddit.py
|
||||||
|
|
||||||
|
Returns:
|
||||||
|
tuple[int,int]: (total length of the audio, the number of comments audio was generated for)
|
||||||
"""
|
"""
|
||||||
print_step("Saving Text to MP3 files...")
|
|
||||||
length = 0
|
|
||||||
|
|
||||||
# Create a folder for the mp3 files.
|
|
||||||
Path("assets/temp/mp3").mkdir(parents=True, exist_ok=True)
|
|
||||||
TextToSpeech = TTS()
|
|
||||||
TextToSpeech.tts(
|
|
||||||
sanitize_text(reddit_obj["thread_title"]),
|
|
||||||
filename="assets/temp/mp3/title.mp3",
|
|
||||||
random_speaker=False,
|
|
||||||
)
|
|
||||||
try:
|
|
||||||
length += MP3("assets/temp/mp3/title.mp3").info.length
|
|
||||||
except HeaderNotFoundError: # note to self AudioFileClip
|
|
||||||
length += sox.file_info.duration("assets/temp/mp3/title.mp3")
|
|
||||||
if getenv("STORYMODE").casefold() == "true":
|
|
||||||
TextToSpeech.tts(
|
|
||||||
sanitize_text(reddit_obj["thread_content"]),
|
|
||||||
filename="assets/temp/mp3/story_content.mp3",
|
|
||||||
random_speaker=False,
|
|
||||||
)
|
|
||||||
# 'story_content'
|
|
||||||
com = 0
|
|
||||||
for comment in track((reddit_obj["comments"]), "Saving..."):
|
|
||||||
# ! Stop creating mp3 files if the length is greater than VIDEO_LENGTH seconds. This can be longer
|
|
||||||
# but this is just a good_voices starting point
|
|
||||||
if length > VIDEO_LENGTH:
|
|
||||||
break
|
|
||||||
|
|
||||||
TextToSpeech.tts(
|
env = os.getenv("TTSCHOICE", "")
|
||||||
sanitize_text(comment["comment_body"]),
|
if env.casefold() in map(lambda _: _.casefold(), TTSProviders):
|
||||||
filename=f"assets/temp/mp3/{com}.mp3",
|
text_to_mp3 = TTSEngine(
|
||||||
random_speaker=False,
|
get_case_insensitive_key_value(TTSProviders, env), reddit_obj
|
||||||
)
|
)
|
||||||
try:
|
else:
|
||||||
length += MP3(f"assets/temp/mp3/{com}.mp3").info.length
|
choice = ""
|
||||||
com += 1
|
while True:
|
||||||
except (HeaderNotFoundError, MutagenError, Exception):
|
print_step("Please choose one of the following TTS providers: ")
|
||||||
try:
|
print_table(TTSProviders)
|
||||||
length += sox.file_info.duration(f"assets/temp/mp3/{com}.mp3")
|
choice = input("\n")
|
||||||
com += 1
|
if choice.casefold() in map(lambda _: _.casefold(), TTSProviders):
|
||||||
except (OSError, IOError):
|
break
|
||||||
print(
|
print("Unknown Choice")
|
||||||
"would have removed"
|
text_to_mp3 = TTSEngine(
|
||||||
f"assets/temp/mp3/{com}.mp3"
|
get_case_insensitive_key_value(TTSProviders, choice), reddit_obj
|
||||||
f"assets/temp/png/comment_{com}.png"
|
|
||||||
)
|
)
|
||||||
# remove(f"assets/temp/mp3/{com}.mp3")
|
|
||||||
# remove(f"assets/temp/png/comment_{com}.png")# todo might cause odd un-syncing
|
|
||||||
|
|
||||||
print_substep("Saved Text to MP3 files Successfully.", style="bold green")
|
return text_to_mp3.run()
|
||||||
# ! Return the index, so we know how many screenshots of comments we need to make.
|
|
||||||
return length, com
|
|
||||||
|
def get_case_insensitive_key_value(input_dict, key):
|
||||||
|
return next(
|
||||||
|
(
|
||||||
|
value
|
||||||
|
for dict_key, value in input_dict.items()
|
||||||
|
if dict_key.lower() == key.lower()
|
||||||
|
),
|
||||||
|
None,
|
||||||
|
)
|
||||||
|
|||||||
Loading…
Reference in new issue