Building a Web Application: Embedding Texts from Web Links and Creating an Interactive Chat Interface

In this blog post, I’ll guide you through the process of building a web application that embeds texts from web links and provides an interactive chat interface. YOu can build this web application for your university or college so that people can ask questions about known topics and get instant answers. There can be other use cases of the application, like for small businesses that provide various services like tax audition or accounting, for healthcare centers, sports centers, or gyms. Additionally, the application can have numerous use cases related to your lives. We will use Python with the Streamlit framework, LangChain for handling embeddings, FAISS for efficient similarity search, and HuggingFace models for generating responses. This application consists of two main parts: embedding the texts from web links and building the main application interface. You can get the complete code implementation in the GitHub Repository. …

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