import gradio as gr
import random

def greet(name, is_morning, temperature):
    """
    A simple greeting function that demonstrates multiple input types
    """
    salutation = "Good morning" if is_morning else "Hello"
    if name == "":
        name = "stranger"
    
    # Add some weather context
    if temperature > 25:
        weather_comment = "It's quite warm today!"
    elif temperature < 10:
        weather_comment = "It's quite cold today!"
    else:
        weather_comment = "The weather is nice today!"
    
    # Add some randomness for fun
    emoji = random.choice(["😊", "🌟", "👋", "🎉", "🌞"])
    
    return f"{salutation} {name}! {weather_comment} {emoji}"

def analyze_text(text):
    """
    Simple text analysis function
    """
    if not text:
        return "Please enter some text to analyze."
    
    word_count = len(text.split())
    char_count = len(text)
    char_count_no_spaces = len(text.replace(" ", ""))
    
    return f"""
    📊 Text Analysis Results:
    
    • Word count: {word_count}
    • Character count: {char_count}
    • Character count (no spaces): {char_count_no_spaces}
    • Average word length: {char_count_no_spaces/word_count:.1f} characters
    """

# Create a tabbed interface with multiple demos
with gr.Blocks(title="TEST Gradio Space Demo", theme=gr.themes.Soft()) as demo:
    gr.Markdown("# 🚀 TEST Gradio Space Demo")
    gr.Markdown("Welcome to this demo space! This showcases different Gradio features.")
    
    with gr.Tab("Greeting Generator"):
        gr.Markdown("### Generate a personalized greeting")
        
        with gr.Row():
            with gr.Column():
                name_input = gr.Textbox(
                    label="Your Name", 
                    placeholder="Enter your name...",
                    value="World"
                )
                morning_checkbox = gr.Checkbox(
                    label="Is it morning?", 
                    value=True
                )
                temp_slider = gr.Slider(
                    minimum=-10, 
                    maximum=40, 
                    value=20, 
                    label="Temperature (°C)"
                )
                greet_btn = gr.Button("Generate Greeting", variant="primary")
            
            with gr.Column():
                greeting_output = gr.Textbox(
                    label="Your Greeting", 
                    lines=3,
                    interactive=False
                )
        
        greet_btn.click(
            fn=greet, 
            inputs=[name_input, morning_checkbox, temp_slider], 
            outputs=greeting_output
        )
        
        # Also trigger on enter in the name field
        name_input.submit(
            fn=greet, 
            inputs=[name_input, morning_checkbox, temp_slider], 
            outputs=greeting_output
        )
    
    with gr.Tab("Text Analyzer"):
        gr.Markdown("### Analyze your text")
        
        with gr.Row():
            with gr.Column():
                text_input = gr.Textbox(
                    label="Enter text to analyze", 
                    lines=5,
                    placeholder="Type or paste your text here..."
                )
                analyze_btn = gr.Button("Analyze Text", variant="primary")
            
            with gr.Column():
                analysis_output = gr.Textbox(
                    label="Analysis Results", 
                    lines=8,
                    interactive=False
                )
        
        analyze_btn.click(
            fn=analyze_text, 
            inputs=text_input, 
            outputs=analysis_output
        )
        
        text_input.submit(
            fn=analyze_text, 
            inputs=text_input, 
            outputs=analysis_output
        )
    
    with gr.Tab("About"):
        gr.Markdown("""
        ### About this Space
        
        This is a demonstration Gradio Space that shows:
        
        - ✅ Multiple tabs with different interfaces
        - ✅ Various input types (text, checkbox, slider)
        - ✅ Interactive buttons and submit actions
        - ✅ Simple text processing functions
        - ✅ Modern UI with themes
        
        ### How to deploy your own:
        
        1. Create files: `app.py`, `requirements.txt`, `README.md`
        2. Push to a Hugging Face Space repository
        3. Your app will be live automatically!
        
        ### API Access
        
        This app also provides REST API endpoints. Check the "Use via API" section below for details.
        """)

if __name__ == "__main__":
    demo.launch()