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| title: Anycoder | |
| emoji: π’ | |
| colorFrom: indigo | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 5.38.2 | |
| app_file: app.py | |
| pinned: false | |
| disable_embedding: true | |
| hf_oauth: true | |
| hf_oauth_scopes: | |
| - manage-repos | |
| # AnyCoder - AI Code Generator | |
| AnyCoder is an AI-powered code generator that helps you create applications by describing them in plain English. It supports multiple AI models, multimodal input, website redesign, and one-click deployment to Hugging Face Spaces. The UI is built with Gradio theming for a minimal, modern experience. | |
| ## Features | |
| - **Multi-Model Support**: Choose from Moonshot Kimi-K2, DeepSeek V3, DeepSeek R1, ERNIE-4.5-VL, MiniMax M1, Qwen3-235B-A22B, Qwen3-30B-A3B-Instruct-2507, Qwen3-30B-A3B-Thinking-2507, SmolLM3-3B, and GLM-4.1V-9B-Thinking | |
| - **Flexible Input**: Describe your app in text, upload a UI design image (for multimodal models), provide a reference file (PDF, TXT, MD, CSV, DOCX, or image), or enter a website URL for redesign | |
| - **Web Search Integration**: Enable real-time web search (Tavily, with advanced search depth) to enhance code generation with up-to-date information and best practices | |
| - **Code Generation**: Generate code in HTML, Python, JS, and more. Special support for transformers.js apps (outputs index.html, index.js, style.css) | |
| - **Live Preview**: Instantly preview generated HTML in a sandboxed iframe | |
| - **Modify Existing Code**: Use search/replace block format to update generated HTML | |
| - **One-Click Deployment**: Deploy your app to Hugging Face Spaces (Gradio, Streamlit, Static HTML, or Transformers.js) with OAuth login | |
| - **History & Examples**: Chat-like history of all interactions and quick example prompts for fast prototyping | |
| - **Minimal, Modern UI**: Built with Gradio 5.x, using only built-in theming and styling (no custom CSS) | |
| ## Installation | |
| 1. Clone the repository: | |
| ```bash | |
| git clone <repository-url> | |
| cd anycoder | |
| ``` | |
| 2. Install dependencies: | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| 3. Set up environment variables: | |
| ```bash | |
| export HF_TOKEN="your_huggingface_token" | |
| export TAVILY_API_KEY="your_tavily_api_key" # Optional, for web search feature | |
| export DASHSCOPE_API_KEY="your_dashscope_api_key" # Required for Qwen3-30B models via DashScope | |
| ``` | |
| ## Usage | |
| 1. Run the application: | |
| ```bash | |
| python app.py | |
| ``` | |
| 2. Open your browser and navigate to the provided URL | |
| 3. Describe your application in the text input field, or: | |
| - Upload a UI design image (for ERNIE-4.5-VL or GLM-4.1V-9B-Thinking) | |
| - Upload a reference file (PDF, TXT, MD, CSV, DOCX, or image) | |
| - Enter a website URL for redesign (the app will extract and analyze the HTML and content) | |
| - Enable web search for up-to-date information | |
| - Choose a different AI model or code language | |
| 4. Click "Generate" to create your code | |
| 5. View the generated code in the Code tab or see it in action in the Preview tab | |
| 6. Use the History tab to review previous generations | |
| 7. **Deploy to Space**: Enter a title, select SDK, and click "π Deploy App" to publish your application (OAuth login required) | |
| ## Supported Models | |
| - Moonshot Kimi-K2 | |
| - DeepSeek V3 | |
| - DeepSeek R1 | |
| - ERNIE-4.5-VL (multimodal) | |
| - MiniMax M1 | |
| - Qwen3-235B-A22B | |
| - Qwen3-30B-A3B-Instruct-2507 (via DashScope) | |
| - Qwen3-30B-A3B-Thinking-2507 (via DashScope) | |
| - SmolLM3-3B | |
| - GLM-4.1V-9B-Thinking (multimodal) | |
| ## Input Options | |
| - **Text Prompt**: Describe your app or code requirements | |
| - **Image Upload**: For multimodal models, upload a UI design image to generate code from visuals | |
| - **File Upload**: Provide a reference file (PDF, TXT, MD, CSV, DOCX, or image) for code generation or text extraction (OCR for images) | |
| - **Website URL**: Enter a URL to extract and redesign the website (HTML and content are analyzed and modernized) | |
| ## Web Search Feature | |
| - Enable the "Web search" toggle to use Tavily for real-time information (requires TAVILY_API_KEY) | |
| - Uses advanced search depth for best results | |
| ## Code Generation & Modification | |
| - Generates code in HTML, Python, JS, and more (selectable via dropdown) | |
| - Special support for transformers.js apps (outputs index.html, index.js, style.css) | |
| - Svelte apps | |
| - For HTML, provides a live preview in a sandboxed iframe | |
| - For modification requests, uses a search/replace block format to update existing HTML | |
| ## Deployment | |
| - Deploy generated apps to Hugging Face Spaces directly from the UI | |
| - Supported SDKs: Gradio (Python), Streamlit (Python), Static (HTML), Transformers.js | |
| - OAuth login with Hugging Face is required for deployment to user-owned Spaces | |
| ## History & Examples | |
| - Maintains a chat-like history of user/assistant interactions | |
| - Quick example prompts are available in the sidebar for fast prototyping | |
| ## UI/UX | |
| - Built with Gradio 5.x, using only Gradio's built-in theming and styling (no custom CSS) | |
| - Minimal, uncluttered sidebar and interface | |
| ## Environment Variables | |
| - `HF_TOKEN`: Your Hugging Face API token (required) | |
| - `TAVILY_API_KEY`: Your Tavily API key (optional, for web search) | |
| ## Project Structure | |
| ``` | |
| anycoder/ | |
| βββ app.py # Main application (all logic and UI) | |
| βββ requirements.txt | |
| βββ README.md # This file | |
| ``` | |
| ## License | |
| [Add your license information here] |