merging

README.md

@@ -16,17 +16,14 @@ from nutritiontools import Nutrition
 
 n_obj = Nutrition() 
 
-match = n_obj.semantic_search('I ate an apple') 
+match = n_obj.semantic_search("I ate an apple") 
 
 print(match)
 ```
 
 ## Connecting to mobile assistants, placing the API in an online server, and managing a database
 
-We're currently in the process of developing native applications for iOS (Siri) and Android (Google Assistant) to leverage their local voice command capabilities. 
-
-For testing purposes, we used [Siri Shortcuts](https://support.apple.com/en-us/HT209055) (iOS) and [Google Assistant / IFTTT webhooks](https://ifttt.com/google_assistant) (Android) to send voice transcriptions to [Google Firebase](https://firebase.google.com/docs/storage/web/start). Once received, the incoming data would trigger a [Firebase Cloud Function](https://firebase.google.com/docs/functions). The Firebase Function sent the voice transcription to our [Semantic Nutrition API](semantic.py)
-] (hosted online with [Flask](https://flask.palletsprojects.com/en/1.1.x/quickstart/) and [Google App Engine](https://cloud.google.com/appengine/docs/standard/python3/building-app)), which responded with estimates for nutrition data. The nutrition data was then logged in Google Firebase.
+For testing purposes, we used [Siri Shortcuts](https://support.apple.com/en-us/HT209055) (iOS) and [Google Assistant / IFTTT webhooks](https://ifttt.com/google_assistant) (Android) to send voice transcriptions to [Google Firebase](https://firebase.google.com/docs/storage/web/start). Once received, the incoming data would trigger a [Firebase Cloud Function](https://firebase.google.com/docs/functions). The Firebase Function relayed the voice transcription to our [Semantic Nutrition API](semantic.py)(hosted online with [Flask](https://flask.palletsprojects.com/en/1.1.x/quickstart/) and [Google App Engine](https://cloud.google.com/appengine/docs/standard/python3/building-app)), which responded with estimates for nutrition data. The nutrition data was then logged in Google Firebase.
 
 While useful for testing and demonstrations, this method has been depecrated in favor of a native mobile application and private server / database. Please stay tuned for future developments, and feel free to use our API locally in the meantime!