GPT LiveDoc Interpreter

Overview

The GPT LiveDoc Interpreter is a project designed to leverage the power of language models, specifically GPT (Generative Pre-trained Transformer), for interpreting and interacting with documents in real-time. The project uses LangChain, OpenAI, and Flask to create a seamless integration between document retrieval, question-answering, and conversational interactions.

Features

• Document Loading: Fetch documents from various sources, including PDFs and YouTube audio transcripts.

• Question Answering: Utilize GPT models for answering user questions related to the loaded documents.

• Conversational Retrieval Chain: Incorporate chat history for follow-up questions, creating a dynamic conversational experience.

• Memory Incorporation: Implement a conversation buffer memory to store and retrieve chat history.

Setup

Prerequisites

• Python 3+
• Pip
• Node.js
• npm

Installation

1. Clone the repository:

   git clone <repository-url>
   cd gpt-livedoc-interpreter
   

2. Install Python dependencies:

   pip install -r requirements.txt
   

3. Install Node.js dependencies for the React frontend:

   git clone <repository-url>
   cd gpt-livedoc-interpreter
   

Usage

1. Start the Flask server:

   python app.py

**The server will run on http://localhost:5000.

2. Start the React server

   cd react-app
   npm start

**The React app will run on http://localhost:3000.

3. Open your browser and visit http://localhost:3000 to interact with the GPT LiveDoc Interpreter.

Configuration

OpenAI API Key

To use the OpenAI API, replace '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' in the code with your actual OpenAI API key.

```code
embedding = OpenAIEmbeddings(openai_api_key='your-openai-api-key')
llm = ChatOpenAI(model_name=llm_name, temperature=0, openai_api_key='your-openai-api-key')

.env File

Ensure that you have the .env.local file with the respective API Key and environment variables aswell. Refer to the provided .env.example for reference.

Acknowledgments

• LangChain
• OpenAI
• Flask
• React
• NodeJS
• Clojure

Contact

For any inquiries or support, please contact me at [email protected]