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| title: Groq App | |
| emoji: π | |
| colorFrom: red | |
| colorTo: red | |
| sdk: docker | |
| app_port: 8501 | |
| tags: | |
| - streamlit | |
| pinned: false | |
| short_description: Streamlit template space | |
| license: mit | |
| # π€ Groq AI Chat Assistant | |
| A lightning-fast Streamlit web app powered by Groq's AI API. | |
| ## Features | |
| β¨ Instant AI responses | |
| π Multiple models available | |
| ποΈ Customizable settings | |
| πΎ Chat history | |
| π± Mobile friendly | |
| ## How to Use | |
| 1. Get your free Groq API key: https://console.groq.com | |
| 2. Paste it in the sidebar | |
| 3. Select a model | |
| 4. Start chatting! | |
| ## Available Models | |
| - **Llama 3.3 70B** - Most powerful | |
| - **Llama 3.1 8B** - Fastest | |
| - **Gemma 2 9B** - Balanced | |
| ## Deploy to Hugging Face Spaces | |
| 1. Go to https://huggingface.co/spaces | |
| 2. Create new Space with **Streamlit** SDK | |
| 3. Upload these 3 files | |
| 4. Done! π | |
| ## Local Setup | |
| ```bash | |
| pip install -r requirements.txt | |
| streamlit run app.py | |
| ``` | |
| ## Get API Key | |
| 1. Visit https://console.groq.com | |
| 2. Sign up (free) | |
| 3. Create API key | |
| 4. Copy and paste in app | |
| ## License | |
| MIT | |