app.py

#this is a prototype, feel free to adjust and optimize based on your needs and the serivice you are promoting.

from dotenv import load_dotenv
import os
# Load environment variables from .env file
load_dotenv()
# Now you can access your API keys (and other environment variables)
OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')

import openai
import pandas as pd


def ask_question(prompt):
    completion = openai.chat.completions.create(
        model="gpt-3.5-turbo",  # you can replace this with your preferred model
        messages=[{"role": "user", "content": prompt}],
        max_tokens=500
    )
    return completion.choices[0].message.content

def interact_with_ai(message, model="gpt-3.5-turbo"):
    prompt = f"You are a hosting advisor and you role is to reply in few words to the {message} just to keep the user engaged and make him feel that he is interacting with someone."
    completion = openai.chat.completions.create(
        model="gpt-3.5-turbo",  # you can replace this with your preferred model
        messages=[{"role": "user", "content": prompt}],
        max_tokens=150
    )
    return completion.choices[0].message.content


def recommend_hosting_with_ai(dialog, data_csv):
    # Read the CSV data into a string format suitable for the prompt
    hosting_data = pd.read_csv(data_csv)
    hosting_data_string = hosting_data.to_string(index=False)

    # Construct the prompt
    prompt = (f"Based on the following user answers:\n{dialog}\n\n"
              f"And the following hosting service data:\n{hosting_data_string}\n\n"
              "Suggest the best hosting service and return the name, link, and explanation in JSON format.")

    # Call the OpenAI API
    completion = openai.chat.completions.create(
        model="gpt-3.5-turbo",  
        messages=[{"role": "user", "content": prompt}]
    )

    return completion.choices[0].message.content



def main():
    # Load hosting data from CSV
    file_path = 'data.csv'  # Update this with the path to your CSV file

    # Questions to ask the user
    questions = [
        "What is your monthly budget for web hosting?",
        "How much traffic do you expect your website to have? (e.g., low, medium, high)",
        "What is the primary purpose of your website? (e.g., blog, e-commerce, portfolio)",
        "How would you rate your technical expertise with web hosting and website management? (e.g., beginner, intermediate, advanced)",
        "How important is 24/7 customer support to you?",
        "Are you looking for a hosting service that provides high performance and speed?",
        "Do you anticipate needing to upgrade your hosting plan as your website grows?",
        "Do you have a preference for where your server is located geographically?",
        "Are there any additional features you’re looking for, such as free domain registration, email hosting, or SSL certificates?",
        "Have you used any web hosting services before? If so, what did you like or dislike about them?"
    ]

    dialog = ""  # Initialize an empty string to hold the dialog


    print("Welcome to the Hosting Service Advisor!")
    for question in questions:
        print(question)
        user_answer = input("Your answer: ")
        dialog += f"Q: {question}\nA: {user_answer}\n"

        # Get a brief reply from the AI regarding the user's answer
        brief_reply = interact_with_ai(dialog)
        print(f"Advisor: {brief_reply}") 

    # Get hosting recommendation
    recommended_hosting = recommend_hosting_with_ai(dialog, file_path)
    
    print(recommended_hosting)

if __name__ == "__main__":
    main()