https://github.com/gyfx35/care
Global well-being,education and opinions forums app
https://github.com/gyfx35/care
android appstore-api cloudflare-api cloudflare-dns educational-software gemini-api google-cloud html5-video ibm-cloud ios-development open-source open-source-project openai-api playstore-api vertex-ai well-being
Last synced: 4 days ago
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Global well-being,education and opinions forums app
- Host: GitHub
- URL: https://github.com/gyfx35/care
- Owner: GYFX35
- License: mit
- Created: 2025-01-07T20:23:08.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-04-18T10:42:43.000Z (2 months ago)
- Last Synced: 2026-04-18T12:23:04.502Z (2 months ago)
- Topics: android, appstore-api, cloudflare-api, cloudflare-dns, educational-software, gemini-api, google-cloud, html5-video, ibm-cloud, ios-development, open-source, open-source-project, openai-api, playstore-api, vertex-ai, well-being
- Language: HTML
- Homepage: https://gyfx35.github.io/care/
- Size: 261 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# CARE is a app dedicated to global well-being,education,training promotion mainly for children education and well-being.
This app is so global opinions,advice forums app
Global development ideas sharing and talking app.
## AI Assistant
The CARE platform now features an integrated AI Assistant to help users with project activities, health information, and educational resources. The assistant is built using **LangChain** and **OpenAI**, with optional support for **Google Search** to provide up-to-date information.
### Setting Up the AI Assistant
To enable the AI Assistant, you need to set up the following environment variables in your `.env` file or environment:
1. **OpenAI API Key (Required):**
```
OPENAI_API_KEY=your_openai_api_key
```
You can obtain this from the [OpenAI Platform](https://platform.openai.com/).
2. **Google Search Integration (Optional):**
To allow the assistant to search the web for the latest information:
```
GOOGLE_API_KEY=your_google_api_key
GOOGLE_CSE_ID=your_custom_search_engine_id
```
* **GOOGLE_API_KEY:** Obtain from the [Google Cloud Console](https://console.cloud.google.com/). Enable the "Custom Search API".
* **GOOGLE_CSE_ID:** Create a Custom Search Engine at [Google Programmable Search Engine](https://programmablesearchengine.google.com/) and get the Search Engine ID.
### How to Use
Once configured, logged-in users can access the AI Assistant by navigating to the `/chatbot` route or clicking on the "AI Assistant" link in the navigation menu.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Deployment on Tencent Cloud
This application is ready to be deployed as a containerized application on Tencent Cloud. Here are the steps to deploy it.
### Prerequisites
* A Tencent Cloud account.
* Docker installed on your local machine.
* `tcli`, the Tencent Cloud CLI, installed and configured on your local machine.
### 1. Build the Docker Image
First, build the Docker image for the application:
```bash
docker build -t care-app .
```
### 2. Set up Tencent Container Registry (TCR)
1. **Create a TCR instance:** In the Tencent Cloud console, navigate to the Tencent Container Registry (TCR) service and create a new registry instance if you don't have one already.
2. **Create a namespace:** Within your TCR instance, create a new namespace (e.g., `care-app-repo`).
3. **Create a repository:** In the namespace, create a new repository for the application image (e.g., `care-app`).
4. **Log in to TCR:** Use the `tcli` or the Docker client to log in to your TCR instance. You will find the login command in the TCR console.
```bash
docker login .tencentcloudcr.com -u -p
```
5. **Tag and push the image:** Tag your local Docker image with the TCR repository URL and push it:
```bash
docker tag care-app:latest .tencentcloudcr.com//care-app:latest
docker push .tencentcloudcr.com//care-app:latest
```
### 3. Set up a Production Database
This application uses a SQLite database by default, which is not suitable for production. You should set up a production-ready database, such as **TencentDB for PostgreSQL**.
1. **Create a database instance:** In the Tencent Cloud console, create a new TencentDB for PostgreSQL instance.
2. **Configure the database:** Create a new database and a user for the application.
3. **Get the database URL:** The database URL will be in the following format:
```
postgresql://:@:/
```
### 4. Deploy the Application
You can deploy the application on either **Tencent Kubernetes Engine (TKE)** or **Cloud Run**.
#### Option A: Deploy on Tencent Kubernetes Engine (TKE)
1. **Create a TKE cluster:** If you don't have one, create a new TKE cluster in the Tencent Cloud console.
2. **Create a deployment:** Create a new deployment in your TKE cluster.
* **Image:** Use the TCR image URL from the previous step.
* **Port:** Expose port 5000.
* **Environment Variables:** Set the following environment variables:
* `SECRET_KEY`: A long, random string for signing session cookies.
* `DATABASE_URL`: The URL of your production database.
3. **Create a service:** Create a service of type `LoadBalancer` to expose the deployment to the internet.
#### Option B: Deploy on Cloud Run
1. **Create a Cloud Run service:** In the Tencent Cloud console, navigate to the Cloud Run service and create a new service.
2. **Configure the service:**
* **Image:** Select the TCR image you pushed earlier.
* **Port:** Set the container port to 5000.
* **Environment Variables:** Set the `SECRET_KEY` and `DATABASE_URL` environment variables as described above.
3. **Deploy:** Deploy the service. Cloud Run will provide you with a public URL for your application.
### 5. Using EdgeOne (Optional)
After your application is deployed and running, you can use **Tencent Cloud EdgeOne** to put a CDN in front of your application. This can help to improve performance, security, and reliability.
1. **Create an EdgeOne zone:** In the EdgeOne console, create a new zone for your application's domain.
2. **Configure the origin:** Set the origin to the public URL of your TKE service or Cloud Run service.
3. **Configure DNS:** Update your domain's DNS records to point to the EdgeOne nameservers.