Use OCR API

@@ -37,6 +37,11 @@ const config = {
   channelSecret: process.env.channelSecret,
 };
 
+// Microsoft Azure - Computer Vision REST API
+let subscriptionKey = process.env.COMPUTER_VISION_SUBSCRIPTION_KEY
+let endpoint = process.env.COMPUTER_VISION_ENDPOINT
+if (!subscriptionKey) { throw new Error('Set your environment variables for your subscription key and endpoint.') }
+var uriBase = endpoint + 'vision/v2.1/ocr'
 
 // create LINE SDK client
 const client = new line.Client(config);
@@ -63,6 +68,54 @@ app.post('/webhook', line.middleware(config), (req, res) => {
 // event handler
 function handleEvent(event) {
   if (event.type !== 'message' || event.message.type !== 'text') {
+    if (event.message.type === 'image')
+      return new Promise(function(resolve, reject) {
+        console.log(event.message)
+        const imageStream = fs.createWriteStream('public/image.jpeg')
+        client.getMessageContent(event.message.id)
+          .then((stream) => {
+            stream.on('data', (chunk) => {
+              imageStream.write(chunk)
+            })
+            stream.on('error', (err) => {
+              console.log(err)
+            })
+            stream.on('end', () => {
+              imageStream.end()
+              const imageUrl = 'https://panguin.ml/image.jpeg'
+              const params = {
+                'language': 'unk',
+                'detectOrientation': 'true',
+              }
+              const options = {
+                uri: uriBase,
+                qs: params,
+                body: '{"url": ' + '"' + imageUrl + '"}',
+                headers: {
+                    'Content-Type': 'application/json',
+                    'Ocp-Apim-Subscription-Key' : subscriptionKey
+                }
+              }
+              request.post(options, (error, response, body) => {
+                if (error) {
+                  console.log('Error: ', error)
+                  return
+                }
+                var lines = JSON.parse(body).regions[0].lines
+                var detected_text = ''
+                for (var i = 0; i < lines.length; i++) {
+                  for (var j = 0; j < lines[i].words.length; j++)
+                    detected_text += lines[i].words[j].text + ' '
+                  detected_text += '\n'
+                }
+                console.log(detected_text)
+                var text_before_translation = detected_text.split('\n').join('').toLowerCase()
+                console.log(text_before_translation)
+              })
+            })
+          })
+      })
+    else
       // ignore non-text-message event
       return Promise.resolve(null);
   }
@@ -148,21 +201,19 @@ function handleEvent(event) {
                               result.text = objBody.message.result.translatedText;
                               //번역된 문자 audio로 저장
                               if (options.form.target == 'ko') {
-                                  var audio_options = {
+                                  let audio_options = {
                                       'Text': result.text,
                                       'OutputFormat': 'mp3',
-                                      'VoiceId': 'Seoyeon',
+                                      'VoiceId': 'Amy',
                                       "LanguageCode": 'ko-KR'
                                   };
-                                  console.log("korean language");
                               } else if (options.form.target == 'en') {
-                                  var audio_options = {
+                                  let audio_options = {
                                       'Text': result.text,
                                       'OutputFormat': 'mp3',
-                                      'VoiceId': 'Kendra',
+                                      'VoiceId': 'Amy',
                                       "LanguageCode": 'en-US'
                                   };
-                                  console.log("english language");
                               }
                               Polly.synthesizeSpeech(audio_options, (err, data) => {
                                   console.log("check");