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It provides an interactive chat experience through Streamlit, allowing users to select AI models, manage conversation memory, and maintain chat history.\n\n---\n\n## 🔑 How to Get a Groq API Key  \nTo use the Groq AI models, follow these steps:\n\n1. **Visit** [Groq Console](https://console.groq.com)  \n2. **Sign In** or **Create an Account**  \n3. **Navigate to API Keys** in the console  \n4. **Generate a New API Key**  \n5. **Copy the Key** and store it safely  \n6. **Add the Key** to a `.env` file in your project:\n   ```env\n   GROQ_API_KEY=your_api_key_here\n   STABILITY_API_KEY=your_api_key_here\n   ```\n\n---\n\n## 🛠️ Installation  \n\n### Prerequisites  \n- Python 3.8 or later installed  \n- Pip installed  \n\n### Steps to Install  \nClone the repository and install the required dependencies:\n```sh\ngit clone https://github.com/your-repo/chat-assistant.git\ncd chat-assistant\npip install -r requirements.txt\n```\n\n---\n\n## ▶️ Running the Application  \nEnsure your `.env` file is correctly set up, then run the following command:\n```sh\nstreamlit run app.py\n```\nThis will start the chatbot on your local machine.\n\n---\n\n## 📂 Project Structure\n```\n├── app.py                # Main application script  \n├── requirements.txt      # Dependencies  \n├── .env                  # API Key Storage  \n├── README.md             # Documentation  \n```\n\n---\n\n## 🤖 Supported AI Models  \n\n| Icon | Model Name                       | Description                                               | Category       | Token Limit | Best For                                   |\n|------|----------------------------------|-----------------------------------------------------------|----------------|-------------|---------------------------------------------|\n| ⚡   | `llama-3.1-8b-instant`           | Fast, efficient model for quick responses                | General        | 16,384      | Quick conversations, basic tasks           |\n| 🧠   | `deepseek-r1-distill-llama-70b`  | Advanced distilled model with excellent performance       | Advanced       | 32,768      | Complex reasoning, detailed explanations   |\n| 🎯   | `qwen-2.5-32b`                   | High-quality model for detailed responses                 | Advanced       | 32,768      | Longer conversations, nuanced responses    |\n| 🚀   | `llama-3.3-70b-specdec`         | Speculative decoding-enhanced Llama 3 for faster responses| Specialized    | 16,384      | Fast English generation, coding assistance |\n| 💻   | `qwen-2.5-coder-32b`            | Model optimized for coding tasks                          | Specialized    | 32,768      | Programming assistance, technical docs     |\n| 🎨   | `stable-diffusion-xl`           | Stability AI's advanced image generation model            | Image Generation| N/A        | Generating images from text prompts        |\n\n---\n\n## 📝 Usage Guide  \n\n1. **Start the app** using `streamlit run app.py`  \n2. **Select AI Model** from the sidebar  \n3. **Set memory length** to decide how many messages the AI remembers  \n4. **Chat with the AI** by entering your queries  \n5. **Monitor API Status** in the sidebar  \n\n---\n\n## 🛡️ API Key Status  \nThe sidebar will indicate whether the API key is connected.  \nIf not, check your `.env` file to ensure the key is correctly set.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsnoozescript%2Fchatassistant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsnoozescript%2Fchatassistant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsnoozescript%2Fchatassistant/lists"}