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Running
| title: SoniCoder | |
| emoji: 🚀 | |
| colorFrom: purple | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 6.14.0 | |
| python_version: '3.11' | |
| app_file: app.py | |
| pinned: false | |
| hf_oauth: true | |
| hf_oauth_scopes: | |
| - read-repos | |
| - write-repos | |
| - manage-repos | |
| ## SoniCoder | |
| An AI-powered fullstack application generator running **entirely locally** with no external API dependencies. Powered by [MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B) (2.17 GB). | |
| ### Features | |
| - **Local Inference**: Uses MiniCPM5-1B running locally via `transformers` — no API keys needed | |
| - **Multi-Language Support**: Generate apps in Python, JavaScript, TypeScript, Java, Go, Rust, PHP, Ruby, C#, Swift, Kotlin, and more | |
| - **Framework Support**: Choose from popular frameworks like React, Vue, Flask, Django, Express, Spring Boot, and others | |
| - **Live Preview**: See generated web apps in a sandboxed iframe preview | |
| - **Code Execution**: Run generated Python code and see output | |
| - **Project Download**: Download generated projects as ZIP files | |
| - **HuggingFace Deploy**: Push generated projects directly to HuggingFace Spaces | |
| ### Supported Languages & Frameworks | |
| | Language | Frameworks | | |
| |----------|-----------| | |
| | Python | Flask, Django, FastAPI, Streamlit, Plain Python | | |
| | JavaScript | React, Vue.js, Next.js, Express.js, Node.js, Vanilla JS | | |
| | TypeScript | React, Next.js, Express.js, NestJS | | |
| | HTML/CSS/JS | Tailwind CSS, Bootstrap, Vanilla | | |
| | Java | Spring Boot, Maven, Gradle | | |
| | Go | Gin, Fiber, Echo, Plain Go | | |
| | Rust | Actix, Axum, Rocket | | |
| | PHP | Laravel, Symfony, Plain PHP | | |
| | Ruby | Rails, Sinatra | | |
| | C# | ASP.NET, Blazor | | |
| | Swift | Vapor, SwiftUI | | |
| | Kotlin | Ktor, Spring Boot | | |
| ### Local Run | |
| ```bash | |
| pip install -r requirements.txt | |
| python app.py | |
| ``` | |
| The model (MiniCPM5-1B, ~2.17 GB) will be automatically downloaded on first run. | |
| ### HuggingFace Deploy | |
| 1. Generate your application | |
| 2. Go to the "Deploy" tab in the output panel | |
| 3. Enter your HuggingFace repository name and token | |
| 4. Select the Space SDK (Static, Gradio, Streamlit, or Docker) | |
| 5. Click "Push to HuggingFace" | |
| ### No External APIs | |
| This application does not use any external API calls. All model inference runs locally using the `transformers` library with MiniCPM5-1B. | |