app.py

# Import necessary libraries
import gradio as gr
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Define a function to analyze numerology
def analyze_numerology(birthdate, birthtime, birthname, birthcity, birthstate, birthcountry):
    # TO DO: Implement numerology analysis logic here
    return "Numerology analysis result"

# Define a function to explore universal connectedness
def explore_connectedness(example, custom_number):
    # TO DO: Implement universal connectedness exploration logic here
    return "Universal connectedness exploration result"

# Define a function to handle AI chat assistant
def handle_chat(message):
    # TO DO: Implement AI chat assistant logic here
    return "AI chat assistant response"

# Create a Gradio interface
demo = gr.Blocks()

# Define the header and language selector
with demo:
    gr.Markdown("# Numerology and Universal Connectedness")
    language_selector = gr.Dropdown(["English", "Spanish", "French"])

# Define the numerology section
with demo:
    with gr.Column():
        gr.Markdown("## Numerology")
        # Use DateTime instead of Date and Time
        birthdate = gr.DateTime(label="Birthdate", include_time=True)
        birthname = gr.Textbox(label="Birthname")
        birthcity = gr.Textbox(label="Birthcity")
        birthstate = gr.Textbox(label="Birthstate")
        birthcountry = gr.Textbox(label="Birthcountry")
        analyze_button = gr.Button("Analyze")
        random_button = gr.Button("Show Random Example")
        results = gr.Textbox(label="Results")
        image = gr.Image(label="Image")

# Define the universal connectedness section
with demo:
    with gr.Column():
        gr.Markdown("## Universal Connectedness")
        example_dropdown = gr.Dropdown(["Example 1", "Example 2", "Example 3"])
        custom_number = gr.Number(label="Custom Number")
        explore_button = gr.Button("Explore")
        results = gr.Textbox(label="Results")
        image = gr.Image(label="Image")

# Define the AI chat assistant section
with demo:
    with gr.Column():
        gr.Markdown("## AI Chat Assistant")
        chat_display = gr.Textbox(label="Chat Display")
        input_field = gr.Textbox(label="Input")
        send_button = gr.Button("Send")

# Define the actions section
with demo:
    with gr.Column():
        gr.Markdown("## Actions")
        save_button = gr.Button("Save")
        load_button = gr.Button("Load")
        export_button = gr.Button("Export")
        print_button = gr.Button("Print")

# Define the loading overlay
with demo:
    with gr.Column():
        gr.Markdown("## Loading...")
        spinning_strawberry = gr.Image(label="Spinning Strawberry")
        text = gr.Textbox(label="Interrogating LOLLMS strawberry...")

# Launch the Gradio interface
demo.launch(show_error=True)