app.py

import gradio as gr
import pandas as pd

def generate_solutions(query):
    # Dummy function to simulate solution generation
    # Replace with your actual logic for generating solutions
    solutions = [
        {"Solution": "Check the power supply", "Link": "https://example.com/power-supply"},
        {"Solution": "Inspect the wiring", "Link": "https://example.com/wiring-inspection"},
        {"Solution": "Update the firmware", "Link": "https://example.com/firmware-update"}
    ]
    
    # Convert solutions to a DataFrame
    df = pd.DataFrame(solutions)
    
    # Convert DataFrame to HTML table with clickable links
    table_html = df.to_html(escape=False, index=False, render_links=True)
    
    return table_html

# Create a Gradio interface
iface = gr.Interface(
    fn=generate_solutions, 
    inputs=gr.Textbox(lines=2, placeholder="Describe the problem with the machine..."), 
    outputs=gr.HTML(),
    title="Oroz: Your Industry Maintenance Assistant",
    description="Describe the problem with your machine precisely, and get an organized table of suggested solutions with web links."
)

iface.launch(share=True)