Train AI agent on mutiple PDF

The Multi-PDF's Chat Agent is a Streamlit-based web application designed to facilitate interactive conversations with a chatbot. The app allows users to upload multiple PDF documents, extract text information from them, and train a chatbot using this extracted content. Users can then engage in real-time conversations with the chatbot.

Hashir-Ahmad1
15
11
Python

Multi-PDF’s Chat Agent

This is a Streamlit-based web application that allows users to interact with a chatbot trained on information extracted from multiple PDF documents.

Description

The Multi-PDF’s Chat Agent is built using Streamlit and LangChain libraries. It provides a user-friendly interface for users to upload PDF documents, extract textual information from them, train a chatbot on the extracted content, and then have conversations with the chatbot.

PDF_LangChain_Flow

Features

  • Upload multiple PDF documents for text extraction.
  • Train a chatbot on the extracted textual content.
  • Have interactive conversations with the chatbot.
  • Easily manage the training process and interactions.

Installation

  1. Clone the repository to your local machine.
  2. Install the required packages using pip.
  3. Create a .env file in the project directory and add your OpenAI API key > OPEN_AI_APIKEY=your-openai-api-key

Usage

  1. Run the Streamlit application: streamlit run app.py
  2. Use the sidebar to upload PDF files and train the chatbot.
  3. Once trained, you can have conversations with the chatbot by entering questions in the text input field.