discourse-ai/lib/completions/endpoints/hugging_face.rb

76 lines
2.1 KiB
Ruby

# frozen_string_literal: true
module DiscourseAi
module Completions
module Endpoints
class HuggingFace < Base
def self.can_contact?(model_name)
%w[StableBeluga2 Upstage-Llama-2-*-instruct-v2 Llama2-*-chat-hf].include?(model_name)
end
def default_options
{ parameters: { repetition_penalty: 1.1, temperature: 0.7 } }
end
def provider_id
AiApiAuditLog::Provider::HuggingFaceTextGeneration
end
private
def model_uri
URI(SiteSetting.ai_hugging_face_api_url).tap do |uri|
uri.path = @streaming_mode ? "/generate_stream" : "/generate"
end
end
def prepare_payload(prompt, model_params)
default_options
.merge(inputs: prompt)
.tap do |payload|
payload[:parameters].merge!(model_params)
token_limit = 2_000 || SiteSetting.ai_hugging_face_token_limit
payload[:parameters][:max_new_tokens] = token_limit - prompt_size(prompt)
end
end
def prepare_request(payload)
headers =
{ "Content-Type" => "application/json" }.tap do |h|
if SiteSetting.ai_hugging_face_api_key.present?
h["Authorization"] = "Bearer #{SiteSetting.ai_hugging_face_api_key}"
end
end
Net::HTTP::Post.new(model_uri, headers).tap { |r| r.body = payload }
end
def extract_completion_from(response_raw)
parsed = JSON.parse(response_raw, symbolize_names: true)
if @streaming_mode
# Last chunk contains full response, which we already yielded.
return if parsed.dig(:token, :special)
parsed.dig(:token, :text).to_s
else
parsed[:generated_text].to_s
end
end
def partials_from(decoded_chunk)
decoded_chunk
.split("\n")
.map do |line|
data = line.split("data: ", 2)[1]
data&.squish == "[DONE]" ? nil : data
end
.compact
end
end
end
end
end