app.py

import gradio as gr
import random

# Links for the websites
website_links = {
    "Jarir": "https://www.jarir.com/sa-en/dp/office-supplies.html?gad_source=1&gclid=Cj0KCQjwiOy1BhDCARIsADGvQnDgDOE5cSZjXQOHsdVQs8Vge-QWL77ocXPBKZ17Op_X7vEF5jwOOekaArlaEALw_wcB&gclsrc=aw.ds#listingContent",
    "Virgin Megastore": "https://www.virginmegastore.sa/en?gad_source=1&gclid=Cj0KCQjwiOy1BhDCARIsADGvQnDpnU5nhgtZ3DiCwPQlPbIfGaTNo7dVBteRI8XQuuSP_HU7B9WieFEaAmuYEALw_wcB",
    "Extra": "https://www.extra.com/en-sa?gad_source=1&gclid=Cj0KCQjwiOy1BhDCARIsADGvQnDKIzuV97LBL15A-sg46w429-B0Ch9joJnxWJZMX12lozQRTKJmoA0aAn0hEALw_wcB&gclsrc=aw.ds"
}

# Function to simulate price generation
def simulate_price(product_name):
    # Mock price generation using random values for three different websites
    prices = {
        "Jarir": round(random.uniform(300, 500), 2),
        "Virgin Megastore": round(random.uniform(300, 500), 2),
        "Extra": round(random.uniform(300, 500), 2)
    }

    # Find the cheapest price
    cheapest_site = min(prices, key=prices.get)
    cheapest_price = prices[cheapest_site]
    cheapest_link = website_links[cheapest_site]

    return f"The cheapest price for '{product_name}' is ${cheapest_price:.2f} on {cheapest_site}. [Check it out here]({cheapest_link})."

# Function to generate and compare prices
def compare_prices(product_name):
    # Simulate prices instead of relying on text generation for this purpose
    return simulate_price(product_name)

# Create Gradio interface
demo = gr.Interface(
    fn=compare_prices,
    inputs="text",
    outputs="markdown",  # Use "markdown" to allow clickable links
    title="Price Comparator",
    description="Enter the product name to find the cheapest price across simulated websites."
)

demo.launch()