import gradio as gr from model.analyzer import analyze_content import asyncio import time # Custom CSS for dark theme, animations, and purple accent color custom_css = """ * { font-family: 'Roboto', sans-serif; } .gradio-container { background: #121212 !important; color: #fff !important; overflow: hidden; transition: background 0.5s ease; } .treat-title { text-align: center; padding: 40px; margin-bottom: 30px; background: rgba(18, 18, 18, 0.85); border-radius: 15px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.3); animation: slideInFromTop 1s ease-out; } .treat-title h1 { font-size: 5em; color: #4f46e5; margin-bottom: 10px; font-weight: bold; animation: fadeInText 1.5s ease-out; } .treat-title p { font-size: 1.3em; color: #4f46e5; animation: fadeInText 1.5s ease-out 0.5s; } .highlight { color: #4f46e5; font-weight: bold; } .content-area, .results-area { background: rgba(33, 33, 33, 0.9) !important; border-radius: 15px !important; padding: 30px !important; margin: 20px 0 !important; box-shadow: 0 6px 12px rgba(0, 0, 0, 0.5) !important; opacity: 0; animation: fadeInUp 1s forwards; } .gradio-textbox textarea { background-color: #333 !important; color: #fff !important; border: 1px solid #444 !important; border-radius: 8px !important; padding: 12px !important; font-size: 1.1em !important; transition: border-color 0.3s ease; } .gradio-textbox textarea:focus { border-color: #4f46e5 !important; } .gradio-button { background-color: #4f46e5 !important; color: white !important; border: none !important; border-radius: 25px !important; padding: 12px 24px !important; font-size: 1.2em !important; transition: transform 0.3s ease, background-color 0.3s ease; margin: 20px 0 !important; } .gradio-button:hover { transform: scale(1.1) !important; background-color: #5749d3 !important; } .gradio-button:active { transform: scale(0.98) !important; background-color: #4b40bb !important; } label { color: #ccc !important; font-weight: 500 !important; margin-bottom: 10px !important; } .center-row { display: flex; justify-content: center; align-items: center; } .footer { text-align: center; margin-top: 40px; font-size: 1.2em; color: #bdbdbd; opacity: 0; animation: fadeInUp 1s forwards 1.5s; } .footer p { color: #4f46e5; } footer { visibility: hidden; } @keyframes slideInFromTop { 0% { transform: translateY(-50px); opacity: 0; } 100% { transform: translateY(0); opacity: 1; } } @keyframes fadeInText { 0% { opacity: 0; } 100% { opacity: 1; } } @keyframes fadeInUp { 0% { opacity: 0; transform: translateY(30px); } 100% { opacity: 1; transform: translateY(0); } } """ def analyze_with_loading(text, progress=gr.Progress()): """ Synchronous wrapper for the async analyze_content function """ # Initialize progress progress(0, desc="Starting analysis...") # Initial setup phase for i in range(30): time.sleep(0.02) # Reduced sleep time progress((i + 1) / 100) # Perform analysis progress(0.3, desc="Processing text...") try: # Use asyncio.run to handle the async function call result = asyncio.run(analyze_content(text)) except Exception as e: return f"Error during analysis: {str(e)}" # Final processing for i in range(70, 100): time.sleep(0.02) # Reduced sleep time progress((i + 1) / 100) # Format the results triggers = result["detected_triggers"] if triggers == ["None"]: return "✓ No triggers detected in the content." else: trigger_list = "\n".join([f"• {trigger}" for trigger in triggers]) return f"⚠ Triggers Detected:\n{trigger_list}" # Create the Gradio interface with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as iface: # Title section gr.HTML("""

TREAT

Trigger Recognition for Enjoyable and Appropriate Television

""") # Content input section with gr.Row(): with gr.Column(elem_classes="content-area"): input_text = gr.Textbox( label="Content to Analyze", placeholder="Paste your content here...", lines=8, interactive=True ) # Button section with gr.Row(elem_classes="center-row"): analyze_btn = gr.Button( "✨ Analyze Content", variant="primary" ) # Results section with gr.Row(): with gr.Column(elem_classes="results-area"): output_text = gr.Textbox( label="Analysis Results", lines=5, interactive=False ) # Set up the click event analyze_btn.click( fn=analyze_with_loading, inputs=[input_text], outputs=[output_text], api_name="analyze" ) # Footer section gr.HTML(""" """) if __name__ == "__main__": # Launch without the 'ssr' argument iface.launch( share=False, debug=True, show_error=True )