Go to your App Dashboard at Back4App Website.įind you keys on: App Settings > Security & Keys. You’‘ll need now go to Back4App, copy your App keys, and update your strings.xml with those values: The server URL is already on the project. It is where Parse Android SDK reads Application key values to make a connection with your Back4App App. In an Android project, strings.xml is a perfect place to set this information. In order to connect your App project to Back4App’s server, you’ll need three primary information the server URL, the Application ID, and the Client Key. In this guide we will use following files in project :ĪndroidManifest.xml - We will set our Back4App credentials as and app permissions App.java ( App.kt for kotlin) - We will modify our initialization code in here MainActivity.java ( MainActivity.kt for kotlin) - Will contain our very first code for creating a Parse Object strings.xml - We will store and read Back4App setup credentails from here adle - We will set our Parse Android SDK version in here Please wait until gradle run is finished.You can see gradle console bottom tabs in Android Studio Step 2 - Get your App Keys Now you can see Gradle console bottom tabs in Android StudioĪndroid Studio will copy and open project for you Please wait until the finish of the Gradle Run process. Then Android Studio will copy and open the project for you. You can find repository links in the start of this sectionĪfter filling the URL and Directory fields, click on the Clone button. You can find repository links at the start of this section. On Android Studio welcoming screen, choose ‘Get from Version Control’Īndroid Studio will ask you for the Git repository link and the desired project path. You can import the repository link directly to Android Studio. Step 1.3 - Import from GitHub(Optional Path) Now you can see Gradle console bottom tabs in Android Studio. In the welcoming screen of Android Studio, choose ‘Open an Existing Project’ and select the project’s folder.Ĭhoose your downloaded and unzipped folder’s location and open it. □ ContributingĬontributions are welcome! Feel free to open issues or submit pull requests to improve Ecoute.Step 1.2 - Open the project on Android StudioĪfter downloading the files, unzip them. This project is licensed under the MIT License - see the LICENSE file for details. We are actively working to add multi-language support to future versions of the program. As a result, it may not accurately transcribe non-English languages or dialects. Language: If you are not using the -api flag the Whisper model used in Ecoute is set to English. However, this model may not be as accurate as the larger models in transcribing certain types of speech, including accents or uncommon words. Whisper Model: If the -api flag is not used, we utilize the 'tiny' version of the Whisper ASR model, due to its low resource consumption and fast response times. If you wish to use a different mic or speaker, you will need to set it as your default device in your system settings. It will not detect sound from other devices or systems. While Ecoute provides real-time transcription and response suggestions, there are several known limitations to its functionality that you should be aware of:ĭefault Mic and Speaker: Ecoute is currently configured to listen only to the default microphone and speaker set in your system. Despite the additional expense, the substantial improvements in speed and transcription accuracy may make it a worthwhile investment for your use case. This increased cost is attributed to the advanced features and capabilities that the Whisper API provides. However, keep in mind that using the Whisper API will consume more OpenAI credits than using the local model. It's expected to become the default option in future releases. This significantly enhances transcription speed and accuracy, and it works in most languages (rather than just English without the flag). The -api flag will use the whisper api for transcriptions. Please note that it might take a few seconds for the system to warm up before the transcription becomes real-time. Upon initiation, Ecoute will begin transcribing your microphone input and speaker output in real-time, generating a suggested response based on the conversation.
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