Build a GPT-3 Trip Scheduler with Streamlit: A Step-by-Step Guide

Building a GPT-3 Powered Trip Scheduling Service using Streamlit

In this tutorial, we will guide you through the process of creating a simple trip scheduling application powered by GPT-3 and utilizing Streamlit for an easy-to-use interface. This app will allow users to generate personalized trip schedules based on their input.

Prerequisites

Before we dive into the code, ensure that you have the following prerequisites:

• Basic knowledge of Python programming.
• Access to OpenAI's GPT-3 API.
• An installation of Streamlit.

Step 1: Installing Required Libraries

First, you need to install Streamlit and the OpenAI library. You can do this using pip. Open your terminal or command prompt and run:

pip install streamlit openai python-dotenv

Step 2: Setting Up Environment Variables

Next, we need to create a .env file to store our OpenAI API key securely. This prevents hardcoding sensitive credentials into our application.

# .env file
OPENAI_API_KEY=your_openai_api_key_here

Step 3: Create the main.py File

Now, let's create a main.py file where we will import all the necessary libraries and load our API key from the .env file.

import os
import openai
from dotenv import load_dotenv
import streamlit as st

# Load environment variables
load_dotenv()
OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')

Creating the Streamlit App

In this section, we will create our Streamlit application. First, we will define a function to generate the trip schedule based on user input.

def generate_trip_schedule(user_input):
    # Sample prompt for GPT-3
    prompt = f"Create a trip schedule based on the following input: {user_input}"
    response = openai.ChatCompletion.create(
        model='gpt-3.5-turbo',
        messages=[
            {'role': 'user', 'content': prompt}
        ],
    )
    return response['choices'][0]['message']['content']

Creating User Input Form

Next, let’s define the user interface for our app using Streamlit. We will create an input form to collect user trip details.

st.title('GPT-3 Trip Scheduler')
user_input = st.text_area("Enter your trip details here:")

if st.button('Generate Schedule'):
    if user_input:
        schedule = generate_trip_schedule(user_input)
        st.subheader('Generated Trip Schedule')
        st.write(schedule)
    else:
        st.error("Please enter some details to generate the trip schedule.")

Running the Streamlit App

To run your Streamlit app, go back to your terminal and execute the following command:

streamlit run main.py

Your default web browser should open, displaying your app.

Results

Now, let’s test the application! Input your trip requirements and click the Generate Schedule button to see the personalized schedule crafted by GPT-3.

That's it! You now have a simple, yet powerful trip scheduling app utilizing the capabilities of GPT-3 and the interactive features of Streamlit.

Sample JSON Output Structure

Your app can also return the generated trip schedules in JSON format for easier consumption and handling by other applications.

{
    "trip_schedule": {
        "location": "Paris",
        "duration": "5 days",
        "activities": [
            "Visit the Eiffel Tower",
            "Explore the Louvre",
            "Stroll along the Seine"
        ]
    }
}