ChatGPT Android demonstrates OpenAI's ChatGPT on Android with Stream Chat SDK for Compose.
The primary objective of this repository is to showcase the following:
ChatGPT Android is built with Stream Chat SDK for Compose to implement messaging systems. If you’re interested in adding powerful In-App Messaging or real-time Video Chat to your app, check out the Android Chat Messaging Tutorial or __Android Video Call Tutorial__ !
If you're interested in building a real-time meeting room with video/audio calling, audio room, or livestreaming, check out the references below:
For proper project setup, it's essential to follow the instructions below. In most cases, you can complete all configuration steps within 10 to 20 minutes:
Go to the __Stream login page__.
If you have your GitHub or Google account, click the Continue with GitHub or Continue with Google button and you can sign up within a couple of seconds.
secrets.properties
file like the below:STREAM_API_KEY=..
Go to your __Dashboard__ again and click your App.
In the Overview menu, you can find the Authentication category by scrolling to the middle of the page.
Switch on the Disable Auth Checks option and click the Submit button like the figure below.
Click the Explorer tab on the left side menu.
Click users -> Create New User button sequentially and add fill in the user like the below:
Chat GPT
70ef052a-da88-4451-af92-99f7ed335a71
secrets.properties
file as named GPT_API_KEY
under the STREAM_API_KEY
field:GPT_API_KEY=..
As per the guidelines outlined in their Rate limits documentation, access to the free tier of the API is granted after a minimum expenditure of $5 since the creation of your account. That means, you should register your payment method to the OpenAI and purchase initial credits.
So you should go to the OpenAI Billings and click the Add payment details button like the image below:
Next, click the Add to credit balance button to purchase the initial credit. As you've discovered in the previous step, the minimum credit starts from $5. Therefore, if you only intend to utilize the API limits for testing or building a side project, you can opt for the minimum pricing. Also, not that it's advisable to disable the automatic recharge option to avoid unexpected charges.
You can typically find the reasons behind your error code by referring to the OpenAI Error code documentation.
If you encounter 401 errors while chatting with ChatGPT app, as shown in the image below, it's crucial to verify the correctness of your OpenAI API key. Ensure that there are no typos in your API key and that it has been correctly copied and pasted into the secrets.properties
file, as outlined in the guidelines above.
If you encounter this error from the outset, it's likely that your rate limits do not meet the requirements. Please revisit step 16 in the guidelines above for further instructions.
ChatGPT Android follows the Google's official architecture guidance.
ChatGPT Android was built with Guide to app architecture, so it would be a great sample to show how the architecture works in real-world projects.
The overall architecture is composed of two layers; UI Layer and the data layer. Each layer has dedicated components and they each have different responsibilities. The arrow means the component has a dependency on the target component following its direction.
Each layer has different responsibilities below. Basically, they follow unidirectional event/data flow.
The UI Layer consists of UI elements like buttons, menus, tabs that could interact with users and ViewModel that holds app states and restores data when configuration changes.
The data Layer consists of repositories, which include business logic, such as querying data from the local database and requesting remote data from the network. It is implemented as an offline-first source of business logic and follows the single source of truth principle.
For more information about the overall architecture, check out Build a Real-Time WhatsApp Clone With Jetpack Compose.
ChatGPT Android adopted modularization strategies below:
Reusability: Modulizing reusable codes properly enable opportunities for code sharing and limits code accessibility in other modules at the same time.
Parallel Building: Each module can be run in parallel and it reduces the build time.
Decentralized focusing: Each developer team can assign their dedicated module and they can focus on their own modules.
Most of the features are not completed except the chat feature, so anyone can contribute and improve this project following the Contributing Guideline.
Support it by joining stargazers for this repository. :star:
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Designed and developed by 2022 skydoves (Jaewoong Eum)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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