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| title: PickLLM | |
| emoji: 🤖 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| pinned: false | |
| # 🤖 PickLLM | |
| Find the Right Large Language Model, Fast. | |
| Stop juggling between different leaderboards. Get personalized LLM recommendations based on your specific needs for model capability, cost and latency. | |
| ## ✨ Features | |
| - 🎯 **Smart Questionnaire** - Answer a few questions about your needs | |
| - 🤖 **AI-Powered Matching** - Get recommendations from LMSYS Chatbot Arena leaderboard | |
| - 🏆 **Top 3 Recommendations** - See the best models for your use case with detailed explanations | |
| ## 👤 About | |
| Built by Rachel Li | |
| - [LinkedIn](https://www.linkedin.com/in/runtian-li/) | |
| - [X (Twitter)](https://x.com/RachelLi56161) | |
| ## 📊 Data Source | |
| This application uses data from the [LMSYS Chatbot Arena Leaderboard](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard). | |
| ## 🛠️ Tech Stack | |
| - **Backend:** Flask (Python) | |
| - **Frontend:** Jinja2 Templates + Bootstrap 5 | |
| - **AI Explanations:** OpenRouter API (GLM-4.5-Air) | |
| - **Deployment:** Docker on Hugging Face Spaces | |
| ## 🚀 How It Works | |
| 1. **Landing Page** - Start with our friendly interface | |
| 2. **Questionnaire** - Answer questions about your use case | |
| 3. **Analysis** - Our backend queries the LLM database with your requirements | |
| 4. **Recommendations** - Get top 3 LLM suggestions with AI-generated explanations | |
| 5. **Compare & Choose** - Review options and select your perfect match | |