LangChain + OpenAI GPT: Document Summarisation Project

🚀 Learn to build a powerful Text Summarization Tool using LangChain and OpenAI.
In this course, you will learn how to use the LangChain framework and the OpenAI language model, GPT, to build a text summarization tool that can efficiently and accurately summarize large or complex texts. You will also learn how to use three distinct LangChain techniques of text summarization to read content from the various formats and sources and to use the summarization and information extraction capabilities of GPT by using the OpenAI API.
[with full Code and Video Explainers]
By the end of this course, you will be able to:
💠 Build a text summarization tool using LangChain and GPT
💠 Summarize content from PDF, DOCX, and web pages
💠 Use the various LangChain modules to read content from the various formats and sources
💠 Use the summarization and information extraction capabilities of GPT by using the OpenAI API

Enroll today and learn how to build a powerful text summarization tool using LangChain and OpenAI! 💼
Bonus: This course also includes a Streamlit UI demonstration of the LangChain Text Summarization tool. 🏆

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LangChain OpenAI Chat GPT Streamlit Community Cloud Deployment | Build your own GPT-based Document Summarisation App

In this Project, you will craft a sophisticated Text Summarization Application employing the LangChain OpenAI framework alongside the renowned OpenAI language model, GPT LLM that powers ChatGPT. This application is engineered to distill content from an array of sources including Word documents, PDFs, and web pages accessed via URLs. It adeptly utilizes the LangChain suite to interpret diverse formats and condense information, drawing on the text summarization and information extraction prowess of large language models (LLMs).

The core of this tool is the OpenAI GPT LLM, which processes user-input prompts to forge concise summaries. These summaries are then presented to the user for review.

Throughout this project, you’ll navigate the comprehensive process of app creation, from leveraging the LangChain library to the integration with the Streamlit UI library for crafting an intuitive user interface.