Think Different

Streamlit apps rely on WebSockets, which can create challenges when embedding them directly in an iframe, especially in some browsers due to security restrictions. Instead, consider an alternative approach such as creating a simple JavaScript-based frontend that can interact with your Streamlit backend via an API, ensuring easy integration into client websites. Here is the demo Chat Bot application approaches: Backend Development 1. Model Setup:    - Use Ollama and Llama3 for natural language understanding and generation.    - Train your models with data specific to each business for better performance. 2. API Development:    - Create an API using a framework like FastAPI or Flask to handle requests and responses between the frontend and the backend models.    - Ensure the API supports multitenancy by handling different businesses' data separately. 3. Vector Store with FAISS:    - Use FAISS to create a vector store database for each busi...