import gradio as gr
import random
import time
from typing import List, Dict, Tuple

# Mock data for demonstration
PANELISTS = [
    "Alex (Art Student)", "Bella (Biologoy Major)", "Chloe (Computer Science)", "Dani (Dance)", "Emma (Engineering)",
    "Fiona (Fashion)", "Grace (Gaming)", "Hana (History)", "Isla (Illustration)", "Jade (Journalism)"
]

def validate_content(content_data) -> Tuple[bool, str]:
    """
    Basic content validation - in a real app, this would integrate with
    proper moderation services
    """
    # Placeholder for actual content validation
    return True, "Content validated"

def generate_rating(content_type: str, user_stats: Dict = None) -> Dict:
    """Generate mock ratings for demonstration purposes"""
    
    # Simulate AI analysis
    time.sleep(1)
    
    # Generate random but structured feedback
    score = random.randint(1, 10)
    effort_rating = random.randint(1, 10)
    
    feedback_types = [
        "Technical assessment", "Aesthetic evaluation", 
        "Comparative analysis", "Creative feedback"
    ]
    
    return {
        "overall_score": score,
        "effort_rating": effort_rating,
    }

def process_upload(file_data, user_stats: str = None) -> str:
    """
    Process user upload with proper validation
    """
    # Validate content
    is_valid, message = validate_content(file_data)
    
    if not is_valid:
        return f"Validation failed: {message}"
    
    else:
        rating_data = generate_rating("image", user_stats)
        return f"Rating: {rating_data['overall_score']}/10 - {message}"
    
    return "Content processed successfully"

# Create the main application
with gr.Blocks() as demo:
    gr.Markdown("# Content Evaluation Platform")
    gr.Markdown("A structured platform for creative content assessment")
    
    with gr.Tab("Upload Content"):
        with gr.Row():
            with gr.Column():
                upload_input = gr.File(
                    label="Upload your content",
                    file_types=["image", "video"],
                    type="filepath"
                )
                stats_input = gr.Textbox(
                    label="Additional context (optional)",
                    placeholder="Provide any relevant details..."
                )
                submit_btn = gr.Button("Submit for Rating", variant="primary")
            
            with gr.Column():
                rating_output = gr.Textbox(
                    label="Assessment Result",
                    lines=4
                )
        
        submit_btn.click(
            fn=process_upload,
            inputs=[upload_input, stats_input],
            outputs=rating_output,
            api_visibility="private"
            )
    
    with gr.Tab("Rating Guidelines"):
        gr.Markdown("""
        ## Evaluation Framework
        
        **Focus Areas:**
        - Technical execution
        - Creative expression  
        - Overall impact
            
        **Rating Scale:**
        1-3: Needs development
        4-6: Solid foundation
        7-9: Exceptional work
        10: Masterpiece
        """)
    
    gr.Markdown(
        "[Built with anycoder](https://huggingface.co/spaces/akhaliq/anycoder)"
        )

# Launch with modern Gradio 6 theme
demo.launch(
    theme=gr.themes.Soft(
        primary_hue="blue",
        secondary_hue="indigo", 
        font=gr.themes.GoogleFont("Inter"),
        text_size="lg",
        spacing_size="lg"
)