title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned
Rushis QA Chatbot	📊	gray	green	streamlit	1.36.0	app.py	false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Langchain Q&A Demo

Overview

Langchain Q&A Demo is a web application that leverages Langchain and OpenAI's GPT-3.5-turbo model to provide interactive question-and-answer capabilities. Built using Streamlit, this app allows users to input questions and receive responses generated by the powerful OpenAI language model.

Features

• Interactive Q&A: Users can input questions and get responses generated by OpenAI's GPT-3.5-turbo model.
• Streamlit Integration: Simple and user-friendly web interface for seamless interaction.
• Environment Variable Management: Securely manage API keys using the python-dotenv package.

Installation

Prerequisites

• Python 3.6 or higher
• pip (Python package installer)
• OpenAI API key

Steps

1. Clone the Repository:

   git clone https://github.com/yourusername/langchain-qa-demo.git
   cd langchain-qa-demo

2. Create a Virtual Environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install Dependencies: The application automatically installs required packages if they are not already installed:

   python main.py

4. Set Up Environment Variables: Create a .env file in the project root directory and add your OpenAI API key:

   OPEN_API_KEY=your_openai_api_key

Usage

1. Run the Application:

   streamlit run main.py

2. Interact with the Application:

   • Open your web browser and navigate to http://localhost:8501.
   • Input your question in the provided text box and click "Ask the question".
   • The response generated by the OpenAI model will be displayed on the page.

Code Explanation

install Function

This function installs the required packages if they are not already installed:

def install(package):
    subprocess.check_call([sys.executable, "-m", "pip", "install", package])