https://github.com/ediwang/editranslator
A simple Web UI that uses the Azure Translator API and Microsoft Foundry to translate text from one language to another.
https://github.com/ediwang/editranslator
ai angular azure-openai azure-translator dotnet
Last synced: about 1 month ago
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A simple Web UI that uses the Azure Translator API and Microsoft Foundry to translate text from one language to another.
- Host: GitHub
- URL: https://github.com/ediwang/editranslator
- Owner: EdiWang
- License: mit
- Created: 2024-06-12T08:32:34.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2026-04-16T02:07:30.000Z (2 months ago)
- Last Synced: 2026-04-16T04:16:47.057Z (2 months ago)
- Topics: ai, angular, azure-openai, azure-translator, dotnet
- Language: C#
- Homepage:
- Size: 1.68 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Edi's Translator
A simple Web UI that uses the Azure Translator API and Microsoft Foundry to translate text from one language to another.
## Features
- Translate text from one language to another
- Save translation history
- API Providers
- Azure Translator (Text)
- Microsoft Foundry (Chat Completion)
## How to Run
### Docker
#### Azure Translator only
```bash
docker run -d -p 8080:8080 -e AzureTranslator__Key=********* -e AzureTranslator__Region==********* ediwang/editranslator
```
#### Microsoft Foundry only
```bash
docker run -d -p 8080:8080 -e -MicrosoftFoundry__Endpoint=****** -e MicrosoftFoundry__Key=********* ediwang/editranslator
```
#### Both
```bash
docker run -d -p 8080:8080 -e AzureTranslator__Key=********* -e AzureTranslator__Region==********* -e MicrosoftFoundry__Endpoint=****** -e MicrosoftFoundry__Key=********* ediwang/editranslator
```
### Code Deployment
See `Development` section for setup the project. Then use `Release` configuration to build and deploy to your server.
> Please note there is no built in authentication, if you need your users to login, you will need to deploy an authentication provider in front of the app. For example, you can enable SSO in Azure App Service.
## Development
0. Create an Azure Translator instance and get the API key and region
1. Create an Microsoft Foundry project
- Deploy chat completion models like `gpt-5.5`
- Get the API key and endpoint
2. Open the solution in Visual Studio
3. Modify `appsettings.json` or create `appsettings.Development.json` and set your API key and region like this
```json
{
"AzureTranslator": {
"Endpoint": "https://api.cognitive.microsofttranslator.com",
"Key": "YOUR_AZURE_TRANSLATOR_KEY",
"Region": "YOUR_AZURE_TRANSLATOR_REGION"
},
"MicrosoftFoundry": {
"Endpoint": "https://.openai.azure.com/",
"Key": "YOUR_AZURE_OPENAI_KEY",
"Deployments": [
{
"Name": "gpt-4.1",
"DisplayName": "GPT-4.1 (Azure)",
"Enabled": true
},
{
"Name": "gpt-5.4",
"DisplayName": "GPT-5.4 (Azure)",
"Enabled": true
},
{
"Name": "gpt-5.5",
"DisplayName": "GPT-5.5 (Azure)",
"Enabled": true
},
{
"Name": "DeepSeek-V3.2",
"DisplayName": "DeepSeek-V3.2 (Azure)",
"Enabled": true
}
]
}
}
```
4. Run the project
## Tech Stack
- AI: Azure Translator API, Microsoft Foundry
- Frontend: ASP.NET Core Razor Page
- Backend: ASP.NET Core Web API