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https://github.com/danbee/my-images
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Refactor Clarifai class
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@ -2,43 +2,48 @@ require "base64"
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require "http"
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class Clarifai
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KEY = ENV.fetch("CLARIFAI_API_KEY").freeze
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API_KEY = ENV.fetch("CLARIFAI_API_KEY").freeze
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API_URL = "https://api.clarifai.com/v2/models/" \
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"aaa03c23b3724a16a56b629203edc62c/outputs".freeze
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attr_reader :tags
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def initialize(image_path)
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@image_path = image_path
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end
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def predict!
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headers = {
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"Authorization": "Key #{KEY}",
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"Content-Type": "application/json",
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}
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params = {
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"inputs": [
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{
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"data": {
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"image": {
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"base64": Base64.encode64(File.read(@image_path)),
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},
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},
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},
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],
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}
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resp = HTTP.
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headers(headers).
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post(API_URL, json: params)
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extract_tags(JSON.parse(resp.body))
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def tags
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@tags ||= extract_tags(JSON.parse(post_image.body))
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end
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private
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def extract_tags(response_hash)
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@tags = response_hash["outputs"][0]["data"]["concepts"].map do |concept|
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response_hash["outputs"][0]["data"]["concepts"].map do |concept|
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concept["name"]
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end
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end
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def post_image
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HTTP.
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headers(headers).
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post(API_URL, json: payload)
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end
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def headers
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{
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"Authorization": "Key #{API_KEY}",
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"Content-Type": "application/json",
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}
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end
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def payload
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{ "inputs": [{ "data": { "image": { "base64": image_base64 } } }] }
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end
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def image_base64
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Base64.encode64(image_file)
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end
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def image_file
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File.read(@image_path)
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end
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end
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@ -3,37 +3,30 @@ ENV["CLARIFAI_API_KEY"] = "1234"
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require "clarifai"
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describe Clarifai do
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describe ".predict" do
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describe ".tags" do
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it "predicts tags for our image" do
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stub_body = {
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WebMock.
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stub_request(:post, Clarifai::API_URL).
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to_return(status: 200, body: stub_body.to_json)
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clarifai_image = Clarifai.new("spec/fixtures/spectrum.jpg")
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expect(clarifai_image.tags).to eq(["computer", "technology"])
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end
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def stub_body
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{
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"outputs": [
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{
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"data": {
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"concepts": [
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{
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"id": "ai_PpTcwbdQ",
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"name": "computer",
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"value": 0.96887743,
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},
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{
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"id": "ai_62K34TR4",
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"name": "technology",
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"value": 0.96544206,
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},
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{ "name": "computer", "value": 0.96887743 },
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{ "name": "technology", "value": 0.96544206 },
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],
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},
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},
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],
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}.to_json
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WebMock.
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stub_request(:post, Clarifai::API_URL).
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to_return(status: 200, body: stub_body)
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clarifai_image = Clarifai.new("spec/fixtures/spectrum.jpg")
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clarifai_image.predict!
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expect(clarifai_image.tags).to eq(["computer", "technology"])
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}
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end
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end
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end
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