angelofparadox / readerai

Artificial intelligence and Python are employed in conjunction with the LangChain framework. This powerful combination enables you to inquire about any subject matter encompassed within books. 🦄

Reader with AI: Transform Your Documents into Conversations with chatGPT

Did you know that chatGPT can engage in interactive conversations with your documents? In this Python workshop, you will discover how to make it possible. Forget about limitations - now you can chat and explore your documents in a whole new way.

Introduction

With this short project, you will learn how to unleash the full potential of chatGPT and convert your documents into interactive conversations. No more boring readings or tedious searches - now you can directly ask questions to your documents and receive responses from chatGPT. To develop this application in less than 50 lines of code, we will need:

• ChatGPT API
• Streamlit
• PyPDF2
• LangChain

How It Works

1. Divide the document into chunks.
2. Create embeddings for each text chunk.
3. Store the chunks and embeddings in a knowledge base.
4. Search for the most relevant chunks based on the user's question using the embeddings.
5. Pass the most relevant chunks along with the question to chatGPT, which generates the response.

Installation of ReaderAi

Using ReaderAI is easy! Here are the steps:

1. Clone or download the repository to your local machine.
2. Install the required libraries by running the following command in your terminal:

   pip install -r requirements.txt
   

3. Run the application with the following command:

   streamlit run app.py
   

4. Get an API key from OpenAI.
5. Enjoy the magic.🦄

License

This project is licensed under the MIT License. See the LICENSE file for details.