OmniAI::Google
A Google implementation of the OmniAI APIs.
Installation
gem install omniai-google
Usage
Client
A client is setup as follows if ENV['GOOGLE_API_KEY']
exists:
client = OmniAI::Google::Client.new
A client may also be passed the following options:
-
api_key
(required - default isENV['GOOGLE_API_KEY']
) -
host
(optional) -
version
(optional - options arev1
orv1beta
)
Configuration
Global configuration is supported for the following options:
OmniAI::Google.configure do |config|
config.api_key = 'sk-...' # default: ENV['GOOGLE_API_KEY']
config.host = '...' # default: 'https://generativelanguage.googleapis.com'
config.version = OmniAI::Google::Config::Version::BETA # either 'v1' or 'v1beta'
end
Chat
A chat completion is generated by passing in a simple text prompt:
completion = client.chat('Tell me a joke!')
completion.text # 'Why did the chicken cross the road? To get to the other side.'
A chat completion may also be generated by using the prompt builder:
completion = client.chat do |prompt|
prompt.system('Your are an expert in geography.')
prompt.user('What is the capital of Canada?')
end
completion.text # 'The capital of Canada is Ottawa.'
Model
model
takes an optional string (default is gemini-1.5-pro
):
completion = client.chat('How fast is a cheetah?', model: OmniAI::Google::Chat::Model::GEMINI_FLASH)
completion.text # 'A cheetah can reach speeds over 100 km/h.'
Temperature
temperature
takes an optional float between 0.0
and 2.0
:
completion = client.chat('Pick a number between 1 and 5', temperature: 2.0)
completion.text # '3'
Google API Reference temperature
Stream
stream
takes an optional a proc to stream responses in real-time chunks instead of waiting for a complete response:
stream = proc do |chunk|
print(chunk.text) # 'Better', 'three', 'hours', ...
end
client.chat('Be poetic.', stream:)
Upload
An upload is especially useful when processing audio / image / video / text files. To use:
CAT_URL = 'https://images.unsplash.com/photo-1472491235688-bdc81a63246e?fm=jpg'
DOG_URL = 'https://images.unsplash.com/photo-1517849845537-4d257902454a?fm=jpg'
begin
cat_upload = client.upload(CAT_URL)
dog_upload = client.upload(DOG_URL)
completion = client.chat(stream: $stdout) do |prompt|
prompt.user do |message|
message.text 'What are these photos of?'
message.url(cat_upload.uri, cat_upload.mime_type)
message.url(dog_upload.uri, dog_upload.mime_type)
end
end
ensure
cat_upload.delete!
dog_upload.delete!
end
Embed
Text can be converted into a vector embedding for similarity comparison usage via:
response = client.embed('The quick brown fox jumps over a lazy dog.')
response.embedding # [0.0, ...]