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Eps 2 - ChatGPT and Streamlit

Eps 3 - Advanced ChatGPT Application

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Eps 2 - ChatGPT and Streamlit

Sec 2 - Introduction to Streamlit

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Introduction to Streamlit with ChatGPT Integration Tutorial

Streamlit is a powerful tool that enables developers to create and share beautiful, interactive web applications quickly and with minimal effort. This tutorial will guide you through the process of installing Streamlit, creating a basic web application, and then integrating ChatGPT into it.

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Part 1: Installing Streamlit

Step 1: Set Up Python Environment

Before installing Streamlit, ensure you have Python installed. Streamlit runs on Python versions 3.7 and newer. You can download Python from the official

Python website⁠

Step 2: Install Streamlit

Open your terminal or command prompt and run the following command to install Streamlit:

pip install streamlit

Step 3: Verify Installation

To check if Streamlit was installed correctly, run:

streamlit hello

This command launches the Streamlit welcome page in your default web browser.

Part 2: Creating a Basic Streamlit Application

Step 1: Create a New Python Script

Create a new Python file named app.py. This file will contain the code for your Streamlit application.

Step 2: Import Streamlit

At the top of your app.py, import Streamlit using:

import streamlit as st

Step 3: Add Elements to Your Web App

You can add different elements to your app by using Streamlit’s built-in functions. Below is a simple example:

import streamlit as st

# Title of the application

st.title('My First Streamlit App')

# Some text

st.write("Hello, this is a simple example of a Streamlit app. You can add text, data, plots, and more to this sidebar.")

# Input from the user

user_input = st.text_input("Enter some text")

# Display the input

st.write(f'You entered: {user_input}')

Step 4: Run Your Application

Save your app.py file and run it by typing the following in your terminal:

bash

Copy code

streamlit run app.py

Your default browser should open automatically and display your new Streamlit app.

Part 3: Integrating ChatGPT with Streamlit

Step 1: Obtain API Access

To integrate ChatGPT, you will need access to the OpenAI API. You can apply for access at the

OpenAI API platform⁠

Step 2: Install OpenAI Python Library

Once you have your API key, install the OpenAI Python library using pip:

pip install openai

Step 3: Update Your Streamlit App

Modify your app.py to integrate ChatGPT. Here is an example of how to do it:

import streamlit as st

import openai

# Set your API key here

openai.api_key = 'your-api-key-here'

st.title('ChatGPT Integration Example')

user_input = st.text_input("Ask something from ChatGPT:")

if user_input:

response = openai.ChatCompletion.create(

model="gpt-3.5-turbo",

messages=[{"role": "system", "content": "You are a helpful assistant."},

{"role": "user", "content": f"{user_input}"}]

)

st.write(response['choices'][0]['message']['content'])

Step 4: Run Your Updated App

Run your updated Streamlit app to see ChatGPT in action:

streamlit run app.py

This will enable users to type in questions and get responses generated by ChatGPT. Adjust the parameters and customize the application according to your needs.

That concludes your introduction to creating interactive web applications with Streamlit and integrating them with ChatGPT for dynamic user interactions. Experiment with different configurations and explore Streamlit's extensive

documentation⁠

to enhance your applications further.

Introduction to Streamlit with ChatGPT Integration Tutorial

Part 1: Installing Streamlit

Step 1: Set Up Python Environment

Step 2: Install Streamlit

Step 3: Verify Installation

Part 2: Creating a Basic Streamlit Application

Step 1: Create a New Python Script

Step 2: Import Streamlit

Step 3: Add Elements to Your Web App

Step 4: Run Your Application