Spaces:
Running
Running
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README.md
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# Note: 'openid' and 'profile' are always included by default and should not be listed here.
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# AnyCoder - AI Code Generator
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AnyCoder is an AI-powered code generator that helps you create applications by describing them in plain English. It supports multiple AI models and
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## Features
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- **Multi-Model Support**: Choose from
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- **Live Preview**:
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## Installation
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git clone <repository-url>
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cd anycoder
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```
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2. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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3. Set up environment variables:
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```bash
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export HF_TOKEN="your_huggingface_token"
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```bash
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python app.py
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```
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2. Open your browser and navigate to the provided URL
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4. Optionally:
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- Upload a UI design image (for ERNIE-4.5-VL model)
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- Enable web search to get the latest information
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- Choose a different AI model
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5. Click "Generate" to create your code
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6. View the generated code in the Code Editor tab or see it in action in the Live Preview tab
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7. **Deploy to Space**: Enter a title and click "π Deploy to Space" to publish your application
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## π Deployment Feature
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AnyCoder now includes one-click deployment to Hugging Face Spaces! This feature allows you to:
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### How to Deploy
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1. **Login**: Click the "Sign in with Hugging Face" button in the sidebar
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2. **Authorize Permissions**: When the authorization page appears, make sure to grant ALL the requested permissions:
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**read-repos** - Read access to repositories
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**write-repos** - Write access to create repositories
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**manage-repos** - Manage repository settings
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3. **Complete Authorization**: Click "Authorize" to complete the login
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4. **Generate Code**: Generate some HTML code using the AI
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5. **Enter Title**: In the sidebar, enter a title for your space (e.g., "My Todo App")
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6. **Deploy**: Click the "π Deploy to Space" button
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7. **Share**: Get a shareable URL for your deployed application
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**Important**: You must grant ALL three permissions during the OAuth authorization process. If you only grant partial permissions, deployment will fail.
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**Note**: You need to be logged in with your Hugging Face account to deploy. This ensures that:
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- Deployments are created under your own account namespace
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- You can manage and update your spaces from your Hugging Face dashboard
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- Each deployment gets a unique URL under your username
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**Technical Note**: The deployment uses your personal OAuth token to create spaces under your account, ensuring full security and ownership of your deployed applications.
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### Troubleshooting Deployment Issues
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If you encounter permission errors during deployment:
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1. **Check Permissions**: Make sure you granted all three required permissions during login
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2. **Logout and Login Again**: Click logout and sign in again, ensuring all permissions are granted
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3. **Account Status**: Verify your Hugging Face account allows repository creation
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4. **Network Issues**: Check your internet connection and try again
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5. **Contact Support**: If issues persist, contact Hugging Face support
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### What Gets Deployed
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- **Complete HTML Application**: Your generated code wrapped in a professional template
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- **Responsive Design**: Mobile-friendly layout with modern styling
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- **Project Documentation**: README with project details and prompts used
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- **Live URL**: Publicly accessible URL that anyone can visit
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### Deployment Benefits
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- **Instant Publishing**: No need to set up hosting or domains
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- **Shareable**: Get a public URL to share with others
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- **Professional**: Clean, branded presentation of your work
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- **Version Control**: Each deployment creates a new space with timestamp
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- **Free Hosting**: Hosted on Hugging Face's infrastructure
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Title: "My Weather Dashboard"
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Generated Code: <div>Weather app HTML...</div>
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Result: https://huggingface.co/spaces/my-weather-dashboard-1234567890
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```
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- A README documenting the project
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## Web Search Feature
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1. Get a free Tavily API key from [Tavily Platform](https://tavily.com/)
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2. Set the `TAVILY_API_KEY` environment variable
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3. Toggle the "π Enable Web Search" checkbox in the sidebar
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When enabled, the AI will search the web for the latest information, best practices, and technologies related to your request.
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## Image Text Extraction
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The application supports extracting text from images using OCR (Optical Character Recognition). This feature allows you to:
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1. Upload image files (JPG, PNG, BMP, TIFF, GIF, WebP) through the file input
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2. Automatically extract text from the images using Tesseract OCR
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3. Include the extracted text in your prompts for code generation
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### Setting up OCR
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To use the image text extraction feature, you need to install Tesseract OCR on your system. See `install_tesseract.md` for detailed installation instructions.
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**Example usage:**
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- Upload an image containing text (like a screenshot, document, or handwritten notes)
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- The application will extract the text and include it in your prompt
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- You can then ask the AI to process, summarize, or work with the extracted text
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## Website Redesign Feature
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The website redesign feature allows you to extract content from existing websites and generate modern, responsive redesigns. This feature:
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- Page title and meta description
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- Navigation menu structure
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- Main content sections
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- Images and their descriptions
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- Overall page structure and purpose
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- Mobile-first design principles
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- Current design trends and best practices
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- "Make it more modern and minimalist"
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- "Add a dark mode toggle"
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- "Improve the mobile layout"
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- "Use a different color scheme"
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```
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URL: https://example.com
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Description: Redesign this website with a modern, minimalist approach. Use a clean typography and improve the mobile experience.
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```
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The AI will analyze the original website content and create a completely redesigned version that maintains the core functionality while providing a better user experience.
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### Supported Websites
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The feature works with most public websites, including:
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- Business websites
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- Portfolio sites
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- Blog platforms
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- E-commerce sites
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- Landing pages
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- Documentation sites
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**Note**: Some websites may block automated access or require JavaScript to load content. In such cases, the extraction may be limited.
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## Available Models
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- **DeepSeek V3**: Advanced code generation model
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- **DeepSeek R1**: Specialized for code generation tasks
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- **ERNIE-4.5-VL**: Multimodal model with image support
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- **MiniMax M1**: General-purpose AI model
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- **Qwen3-235B-A22B**: Large language model for code generation
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## Environment Variables
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- `HF_TOKEN`: Your Hugging Face API token (required)
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- `TAVILY_API_KEY`: Your Tavily API key (optional, for web search)
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## License
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[Add your license information here]
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## Project Structure
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```
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anycoder/
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βββ app.py # Main application (
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βββ
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βββ
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βββ README.md # This file
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```
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##
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1. Set your Hugging Face API token:
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```bash
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export HF_TOKEN="your_huggingface_token"
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```
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2. Install dependencies:
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```bash
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uv sync
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```
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3. Run the application:
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uv run python app.py
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```
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## Usage
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1. **Sign in with your Hugging Face account** using the login button at the top left.
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2. Enter your application requirements in the text area
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3. Click "send" to generate code
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4. View the generated code in the code drawer
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5. See the live preview in the sandbox area
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6. Use example cards for quick prompts
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## Code Example
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```python
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import os
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from huggingface_hub import InferenceClient
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client = InferenceClient(
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provider="novita",
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api_key=os.environ["HF_TOKEN"],
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bill_to="huggingface"
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)
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completion = client.chat.completions.create(
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model="deepseek-ai/DeepSeek-V3-0324",
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messages=[
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{
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"role": "user",
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"content": "Create a simple todo app"
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}
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],
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)
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```
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## Architecture
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The application uses:
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- **Gradio**: For the web interface
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- **Hugging Face Hub**: For model inference
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- **ModelScope Studio**: For UI components
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- **OAuth Login**: Requires users to sign in with Hugging Face for code generation
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- **Streaming**: For real-time code generation
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# Hugging Face Coder
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A Gradio-based application that uses Hugging Face models to generate code based on user requirements. The app supports both text-only and multimodal (text + image) code generation.
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## Features
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- **Multiple Model Support**: DeepSeek V3, DeepSeek R1, and ERNIE-4.5-VL
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- **Multimodal Input**: Upload images to help describe your requirements
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- **Real-time Code Generation**: Stream responses from the models
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- **Live Preview**: See your generated code in action with the built-in sandbox
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- **History Management**: Keep track of your previous generations
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- **Example Templates**: Quick-start with predefined application templates
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## Setup
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1. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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2. Set your Hugging Face API token as an environment variable:
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```bash
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export HF_TOKEN="your_huggingface_token"
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```
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3. Run the application:
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```bash
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python app.py
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```
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## Usage
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1. **Text-only Generation**: Simply type your requirements in the text area
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2. **Multimodal Generation**: Upload an image and describe what you want to create
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3. **Model Selection**: Switch between different models using the model selector
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4. **Examples**: Use the provided example templates to get started quickly
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## Supported Models
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- **DeepSeek V3**: General code generation
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- **DeepSeek R1**: Advanced code generation
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- **ERNIE-4.5-VL**: Multimodal code generation with image understanding
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## Environment Variables
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- `HF_TOKEN`: Your Hugging Face API token (required)
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## Examples
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- Calculator
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- Weather Dashboard
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- Chat Interface
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- E-commerce Product Card
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- Login Form
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- Data Table
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- Image Gallery
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- UI from Image (multimodal)
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# Note: 'openid' and 'profile' are always included by default and should not be listed here.
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---
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# AnyCoder - AI Code Generator
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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 pure Gradio theming for a minimal, modern experience.
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## Features
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- **Multi-Model Support**: Choose from Moonshot Kimi-K2, DeepSeek V3, DeepSeek R1, ERNIE-4.5-VL, MiniMax M1, Qwen3-235B-A22B, SmolLM3-3B, and GLM-4.1V-9B-Thinking
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- **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
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- **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
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- **Code Generation**: Generate code in HTML, Python, JS, and more. Special support for transformers.js apps (outputs index.html, index.js, style.css)
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- **Live Preview**: Instantly preview generated HTML in a sandboxed iframe
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- **Modify Existing Code**: Use search/replace block format to update generated HTML
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- **One-Click Deployment**: Deploy your app to Hugging Face Spaces (Gradio, Streamlit, Static HTML, or Transformers.js) with OAuth login
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- **History & Examples**: Chat-like history of all interactions and quick example prompts for fast prototyping
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- **Minimal, Modern UI**: Built with Gradio 5.x, using only built-in theming and styling (no custom CSS)
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## Installation
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git clone <repository-url>
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cd anycoder
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```
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2. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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3. Set up environment variables:
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```bash
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export HF_TOKEN="your_huggingface_token"
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```bash
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python app.py
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```
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2. Open your browser and navigate to the provided URL
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3. Describe your application in the text input field, or:
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- Upload a UI design image (for ERNIE-4.5-VL or GLM-4.1V-9B-Thinking)
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- Upload a reference file (PDF, TXT, MD, CSV, DOCX, or image)
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- Enter a website URL for redesign (the app will extract and analyze the HTML and content)
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- Enable web search for up-to-date information
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- Choose a different AI model or code language
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4. Click "Generate" to create your code
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5. View the generated code in the Code tab or see it in action in the Preview tab
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6. Use the History tab to review previous generations
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7. **Deploy to Space**: Enter a title, select SDK, and click "π Deploy App" to publish your application (OAuth login required)
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## Supported Models
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| 69 |
|
| 70 |
+
- Moonshot Kimi-K2
|
| 71 |
+
- DeepSeek V3
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| 72 |
+
- DeepSeek R1
|
| 73 |
+
- ERNIE-4.5-VL (multimodal)
|
| 74 |
+
- MiniMax M1
|
| 75 |
+
- Qwen3-235B-A22B
|
| 76 |
+
- SmolLM3-3B
|
| 77 |
+
- GLM-4.1V-9B-Thinking (multimodal)
|
| 78 |
|
| 79 |
+
## Input Options
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|
| 80 |
|
| 81 |
+
- **Text Prompt**: Describe your app or code requirements
|
| 82 |
+
- **Image Upload**: For multimodal models, upload a UI design image to generate code from visuals
|
| 83 |
+
- **File Upload**: Provide a reference file (PDF, TXT, MD, CSV, DOCX, or image) for code generation or text extraction (OCR for images)
|
| 84 |
+
- **Website URL**: Enter a URL to extract and redesign the website (HTML and content are analyzed and modernized)
|
|
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|
| 85 |
|
| 86 |
## Web Search Feature
|
| 87 |
|
| 88 |
+
- Enable the "Web search" toggle to use Tavily for real-time information (requires TAVILY_API_KEY)
|
| 89 |
+
- Uses advanced search depth for best results
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| 90 |
|
| 91 |
+
## Code Generation & Modification
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| 92 |
|
| 93 |
+
- Generates code in HTML, Python, JS, and more (selectable via dropdown)
|
| 94 |
+
- Special support for transformers.js apps (outputs index.html, index.js, style.css)
|
| 95 |
+
- For HTML, provides a live preview in a sandboxed iframe
|
| 96 |
+
- For modification requests, uses a search/replace block format to update existing HTML
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| 97 |
|
| 98 |
+
## Deployment
|
| 99 |
|
| 100 |
+
- Deploy generated apps to Hugging Face Spaces directly from the UI
|
| 101 |
+
- Supported SDKs: Gradio (Python), Streamlit (Python), Static (HTML), Transformers.js
|
| 102 |
+
- OAuth login with Hugging Face is required for deployment to user-owned Spaces
|
| 103 |
|
| 104 |
+
## History & Examples
|
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|
| 105 |
|
| 106 |
+
- Maintains a chat-like history of user/assistant interactions
|
| 107 |
+
- Quick example prompts are available in the sidebar for fast prototyping
|
| 108 |
|
| 109 |
+
## UI/UX
|
| 110 |
|
| 111 |
+
- Built with Gradio 5.x, using only Gradio's built-in theming and styling (no custom CSS)
|
| 112 |
+
- Minimal, uncluttered sidebar and interface
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|
| 113 |
|
| 114 |
## Environment Variables
|
| 115 |
|
| 116 |
- `HF_TOKEN`: Your Hugging Face API token (required)
|
| 117 |
- `TAVILY_API_KEY`: Your Tavily API key (optional, for web search)
|
| 118 |
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| 119 |
## Project Structure
|
| 120 |
|
| 121 |
```
|
| 122 |
anycoder/
|
| 123 |
+
βββ app.py # Main application (all logic and UI)
|
| 124 |
+
βββ requirements.txt
|
| 125 |
+
βββ README.md # This file
|
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|
| 126 |
```
|
| 127 |
|
| 128 |
+
## License
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| 129 |
|
| 130 |
+
[Add your license information here]
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