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| title: DeepSeek Coder Agent | |
| emoji: π | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.0.0 | |
| python_version: 3.11 | |
| pinned: false | |
| license: mit | |
| # π DeepSeek Coder Agent | |
| **Cloud-based AI coding assistant powered by DeepSeek Coder V3** | |
| Replace your local models with this hosted solution - no GPU required! | |
| ## Features | |
| - π¬ **AI Chat** - Ask coding questions, get explanations | |
| - β¨ **Code Completion** - Auto-complete and improve your code | |
| - π **Code Explanation** - Understand any code instantly | |
| - π **Debugging** - Find and fix bugs with AI help | |
| - π¨ **Code Generation** - Generate code from descriptions | |
| - π **Refactoring** - Improve code quality | |
| - π **Code Review** - Get feedback on your code | |
| ## Setup | |
| ### 1. Get Your API Key | |
| 1. Visit [DeepSeek Platform](https://platform.deepseek.com/) | |
| 2. Sign up or log in | |
| 3. Go to API Keys section | |
| 4. Create a new API key | |
| ### 2. Configure the Space | |
| 1. Click on the "βοΈ Settings" tab in this Space | |
| 2. Add a new secret: | |
| - Name: `DEEPSEEK_API_KEY` | |
| - Value: Your API key from step 1 | |
| 3. Click "Save" | |
| ### 3. Start Coding! | |
| Enter your API key in the settings panel and start chatting with the AI. | |
| ## Usage Examples | |
| ### Chat Mode | |
| ``` | |
| User: How do I implement a binary search in Python? | |
| Agent: Here's a clean implementation with explanations... | |
| ``` | |
| ### Code Completion | |
| ``` | |
| Paste your code β Add instruction β Get improved version | |
| ``` | |
| ### Debug Mode | |
| ``` | |
| Paste code + error message β Get fix with explanation | |
| ``` | |
| ### Code Generation | |
| ``` | |
| Describe what you want β Get complete working code | |
| ``` | |
| ## Pricing | |
| DeepSeek API pricing (as of 2026): | |
| - DeepSeek Coder: ~$0.14 / 1M tokens (input) | |
| - DeepSeek Chat: ~$0.27 / 1M tokens (input) | |
| Check [DeepSeek Pricing](https://platform.deepseek.com/pricing) for current rates. | |
| ## Benefits vs Local Models | |
| | Feature | Local Models | This Space | | |
| |---------|-------------|------------| | |
| | GPU Required | β Yes (8GB+ VRAM) | β No | | |
| | Setup Time | Hours | Minutes | | |
| | Memory Usage | 4-16 GB RAM | Minimal | | |
| | Disk Space | 10-50 GB | 0 GB | | |
| | Performance | Depends on hardware | Cloud-scale | | |
| | Updates | Manual | Automatic | | |
| ## API Documentation | |
| For advanced usage, check the [DeepSeek API Docs](https://api-docs.deepseek.com/) | |
| ## Support | |
| - Issues: Create an issue in the repository | |
| - Discord: Join the DeepSeek community | |
| - Email: support@deepseek.com | |
| ## License | |
| MIT License - See LICENSE file | |
| --- | |
| **Built with β€οΈ using Gradio and DeepSeek Coder** | |