AI/ML, Cloud Computing

3 Mins Read

Building a Conversational Q&A Chatbot with Streamlit and GPT-3.5-Turbo


In the ever-evolving landscape of artificial intelligence, creating interactive and intelligent chatbots has become increasingly accessible. In this blog post, we’ll guide you through building a Conversational Q&A Chatbot using Streamlit for the front end and the powerful GPT-3.5-turbo model from OpenAI. Let’s dive into the details of this exciting project!


Streamlit is a powerful open-source framework designed to simplify the process of building and sharing data-driven web applications. With Streamlit, developers can rapidly create interactive and visually appealing applications using simple Python scripts. It provides a seamless way to turn data scripts into shareable web apps, eliminating the need for extensive front-end development expertise.

By leveraging Streamlit’s intuitive API and built-in components, developers can focus on the core functionality of their applications without getting bogged down by the complexities of web development. Whether it’s data visualization, machine learning models, or data analysis tools, Streamlit enables users to deploy their projects easily. It is an invaluable tool for seasoned developers and newcomers to data science and web application development.

Pioneers in Cloud Consulting & Migration Services

  • Reduced infrastructural costs
  • Accelerated application deployment
Get Started

Advantages of Streamlit and GPT-3.5-turbo

1. Natural Language Understanding:

The GPT-3.5-turbo model excels in understanding and generating human-like text, providing users with a natural and engaging conversational experience.

2. Ease of Deployment with Streamlit:

Streamlit simplifies the deployment process, allowing users to access the chatbot through a web browser without complex configurations.

3. Customizable Behavior:

Parameters like temperature in the GPT-3.5-turbo model can be adjusted to customize the chatbot’s behavior, enabling developers to fine-tune the user experience.

4. Flexibility for Extensions:

The modular structure of the code allows for easy extensions. Developers can add features like sentiment analysis or integrate external APIs to enhance functionality.


The Conversational Q&A Chatbot we are building combines the user-friendly interface of Streamlit with the advanced natural language processing capabilities of the GPT-3.5-turbo model. Users can interact with the chatbot by posing questions, and the model will generate contextually relevant responses conversationally. This project showcases the potential of integrating cutting-edge language models into practical applications, making it ideal for various use cases, from customer support to educational platforms.


Before we begin, make sure you have the following:

  • Python installed on your machine (version 3.6 or higher).
  • An OpenAI account and the API key (OPENAI_API_KEY) accessible.

Step-by-Step Guide

Step 1: Installation

Setting Up the Environment

Step 2: Implementation

Writing the Streamlit App
Now, let’s create the Streamlit application. Create a file named and follow the following step:

Required libraries

create .env file


Replace “YOUR_OPENAI_API_KEY” with your actual OpenAI API key.

Load the environment variable

Defining Function to Get OpenAI Response

Set up UI and session state

Handling User Input and Displaying Response

Step 3: Running the Application

Save the file and run the following command in your terminal:

Step 4: Visit the provided URL in your web browser to interact with your chatbot



Building a Conversational Q&A Chatbot with Streamlit and GPT-3.5-turbo opens up a world of possibilities for creating intelligent and interactive applications. The combination of a user-friendly interface and advanced language models provides a powerful tool for developers and businesses alike.

Experiment, customize, and explore the potential of this chatbot to elevate your projects to new heights.

Drop a query if you have any questions regarding Q&A Chatbot and we will get back to you quickly.

Empowering organizations to become ‘data driven’ enterprises with our Cloud experts.

  • Reduced infrastructure costs
  • Timely data-driven decisions
Get Started

About CloudThat

CloudThat is a leading provider of Cloud Training and Consulting services with a global presence in India, the USA, Asia, Europe, and Africa. Specializing in AWS, Microsoft Azure, GCP, VMware, Databricks, and more, the company serves mid-market and enterprise clients, offering comprehensive expertise in Cloud Migration, Data Platforms, DevOps, IoT, AI/ML, and more.

CloudThat is recognized as a top-tier partner with AWS and Microsoft, including the prestigious ‘Think Big’ partner award from AWS and the Microsoft Superstars FY 2023 award in Asia & India. Having trained 650k+ professionals in 500+ cloud certifications and completed 300+ consulting projects globally, CloudThat is an official AWS Advanced Consulting Partner, Microsoft Gold Partner, AWS Training PartnerAWS Migration PartnerAWS Data and Analytics PartnerAWS DevOps Competency PartnerAmazon QuickSight Service Delivery PartnerAmazon EKS Service Delivery PartnerAWS Microsoft Workload PartnersAmazon EC2 Service Delivery Partner, and many more.

To get started, go through our Consultancy page and Managed Services PackageCloudThat’s offerings.


1. What is the purpose of this chatbot?

ANS: – This chatbot serves as a conversational question and answer system. Users can input questions, and the chatbot, powered by the GPT-3.5-turbo model, provides relevant responses.

2. How does the chatbot work?

ANS: – The chatbot utilizes the Streamlit library for the front end and the GPT-3.5-turbo model from OpenAI. User input is processed, and the model generates responses based on the given context.

3. Can I customize the behavior of the chatbot?

ANS: – Yes, the behavior of the chatbot can be customized by adjusting parameters such as temperature, which controls the randomness of the model’s responses. Feel free to experiment with different settings for a more tailored experience.

WRITTEN BY Shantanu Singh

Shantanu Singh works as a Research Associate at CloudThat. His expertise lies in Data Analytics. Shantanu's passion for technology has driven him to pursue data science as his career path. Shantanu enjoys reading about new technologies to develop his interpersonal skills and knowledge. He is very keen to learn new technology. His dedication to work and love for technology make him a valuable asset.



    Click to Comment

Get The Most Out Of Us

Our support doesn't end here. We have monthly newsletters, study guides, practice questions, and more to assist you in upgrading your cloud career. Subscribe to get them all!