Langchain Chatbot with Streamlit

Summary

This is a comprehensive guide to set up and run a chatbot application built on Langchain and Streamlit. The chatbot leverages GPT-3.5 and DuckDuckGo's search capabilities to provide intelligent responses.

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Table of Contents

1. Installation
2. Running the Application
3. Features

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Installation

Prerequisites

• Python 3.x
• pip (Python package installer)

Steps

1. Clone the Repository

   git clone https://github.com/agniiva/langchain-ddg-openai.git
   

2. Navigate to the Project Directory

   cd langchain-ddg-openai
   

3. Install Required Packages

   pip install -r requirements.txt
   

   This will install all the necessary packages listed in requirements.txt, such as Streamlit, langchain, and more.

4. *Rename .env.example file to .env file

5. Setup your API in .env file

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Running the Application

To run the application, execute the following command:

streamlit run app.py

This will launch the Streamlit app, and you can interact with it through your web browser.

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Features

Chat Interface

A simple chat interface for user interaction, which also maintains a chat history.

GPT-3.5 Integration

Utilizes OpenAI's GPT-3.5 model for generating responses based on the user's queries.

DuckDuckGo Search

Incorporates DuckDuckGo Search Run for conducting research or gathering information based on user queries.

Streamlit Callbacks

The application uses Streamlit's callback features to update the UI in real-time.

Environment Variables

The application makes use of .env files for securely storing API keys.

Decorators

Utilizes Python decorators to enable features like chat history.