semvec/pypi-packages huggingface dataset:
gptbots 0.1.14
A simple Python package for creating and interacting with GPT-based chatbots
Requires Python: >=3.8
Keywords: openai,gpt,chatbots

# gptbots
A simple Python package for creating and interacting with GPT-based chatbots

## Preliminaries
Make sure your OpenAI API key is setup (see [OpenAI's Quickstart tutorial](https://platform.openai.com/docs/quickstart?context=python)).

## Usage
To create a chatbot:
- `bot = gptbots.Chatbot()` creates a chatbot instance with default attributes
- `bot = gptbots.Chatbot(model, temperature, custom_instructions, chatbot_name)` creates a chatbot instance with custom attributes

To chat:
- `bot.chat(prompt)` prints chatbot response to string prompt

See more methods below. 

### Attributes
- `model` : default is "gpt-3.5-turbo-1106"; see [OpenAI's documentation on models](https://platform.openai.com/docs/models/) for valid model names
- `temperature` : default is 0.7; ranges from 0.0 to 1.0; higher generally means more creative
- `custom_instructions` : default is "You are a helpful assistant."
- `chatbot_name` : default is "Assistant"
- `context` : contains custom instructions, user messages, and chatbot responses

### Methods
- `chat(prompt)` prints chatbot response to string prompt
- `chat_image(prompt, url)` prints chatbot response to string prompt + image URL when using "gpt-4-vision-preview" (aka GPT-4 Turbo with vision)
- `save(file_path)` saves chat history and settings to preferred file
- `load(file_path)` loads chat history and settings from preferred file
- `print_messages()` prints context without custom instructions in a prettier format
- `print_context()` prints context in a prettier format
Inflector 3.1.1
Inflector for Python
Keywords: inflector text language english

# Inflector for Python

The Inflector is used for getting the plural and singular form of nouns. This piece of code helps on creating code that favors convention over configuration.

Only English and Spanish nouns are supported. The English version is a port of Ruby on Rails Inflector, while the Spanish Version has been developed from scratch with the help of Carles Sadurní.

Apart from converting singulars and plurals, this module also handles necessary string conversion for convention based applications like:

Available methods are:

## pluralize(word)

Pluralizes nouns.

## singularize(word)

Singularizes nouns.

## conditionalPlural(numer_of_records, word)

Returns the plural form of a word if first parameter is greater than 1

## titleize(word, uppercase = '')

Converts an underscored or CamelCase word into a sentence.
The titleize function converts text like "WelcomePage",
"welcome_page" or  "welcome page" to this "Welcome Page".
If the "uppercase" parameter is set to 'first' it will only
capitalize the first character of the title.

## camelize(word):

Returns given word as CamelCased
Converts a word like "send_email" to "SendEmail". It
will remove non alphanumeric character from the word, so
"who's online" will be converted to "WhoSOnline"

## underscore(word)

Converts a word "into_it_s_underscored_version"
Convert any "CamelCased" or "ordinary Word" into an
"underscored_word".
This can be really useful for creating friendly URLs.

## humanize(word, uppercase = '')

Returns a human-readable string from word
Returns a human-readable string from word, by replacing
underscores with a space, and by upper-casing the initial
character by default.
If you need to uppercase all the words you just have to
pass 'all' as a second parameter.


## variablize(word)

Same as camelize but first char is lowercased
Converts a word like "send_email" to "sendEmail". It
will remove non alphanumeric character from the word, so
"who's online" will be converted to "whoSOnline"
return self.Inflector.variablize(word)

## tableize(class_name)

Converts a class name to its table name according to rails
naming conventions. Example. Converts "Person" to "people" 

## classify(table_name)

Converts a table name to its class name according to rails
naming conventions. Example: Converts "people" to "Person" 

## ordinalize(number)
Converts number to its ordinal form.
This method converts 13 to 13th, 2 to 2nd ...

## unaccent(text)

Transforms a string to its unaccented version. 
This might be useful for generating "friendly" URLs

## urlize(text)

Transform a string its unaccented and underscored
version ready to be inserted in friendly URLs

## foreignKey(class_name, separate_class_name_and_id_with_underscore = 1)

Returns class_name in underscored form, with "_id" tacked on at the end. 
This is for use in dealing with the database.