discourse-ai/lib/inference/hugging_face_text_embedding...

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# frozen_string_literal: true
module ::DiscourseAi
module Inference
class HuggingFaceTextEmbeddings
def self.perform!(content)
headers = { "Referer" => Discourse.base_url, "Content-Type" => "application/json" }
body = { inputs: content, truncate: true }.to_json
if SiteSetting.ai_hugging_face_tei_endpoint_srv.present?
service = DiscourseAi::Utils::DnsSrv.lookup(SiteSetting.ai_hugging_face_tei_endpoint_srv)
api_endpoint = "https://#{service.target}:#{service.port}"
else
api_endpoint = SiteSetting.ai_hugging_face_tei_endpoint
end
response = Faraday.post(api_endpoint, body, headers)
raise Net::HTTPBadResponse if ![200].include?(response.status)
JSON.parse(response.body, symbolize_names: true)
end
def self.configured?
SiteSetting.ai_hugging_face_tei_endpoint.present? ||
SiteSetting.ai_hugging_face_tei_endpoint_srv.present?
end
end
end
end