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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"
) |