app.py

import gradio as gr
import time

def biggles_tts_demo(text):
    """Simple demo function"""
    if not text or len(text.strip()) < 5:
        return "Please enter at least 5 characters of text."
    
    # Simulate processing
    time.sleep(2)
    
    return f"""✅ Biggles TTS Processing Complete!

📝 Input Text: {text[:100]}{'...' if len(text) > 100 else ''}

🎭 This is a demo version. The full TTS engine includes:
- Character voice assignment (Biggles, Algy, Ginger, etc.)
- SSML markup processing
- Emotion detection
- High-quality audio generation

🚀 Ready for deployment with full functionality!

⏱️ Processing time: ~2 seconds (demo)
💾 Audio format: WAV (16kHz)
🔊 Voice style: Biggles (authoritative male)"""

# Create Gradio interface
with gr.Blocks(title="Biggles TTS Demo", theme=gr.themes.Soft()) as demo:
    gr.Markdown("""
    # ✈️ Biggles Audiobook TTS Engine - Demo
    
    This is a demonstration of the Biggles TTS deployment capability.
    The full version includes character-specific voices and SSML processing.
    
    🎯 **Features in Full Version:**
    - Automatic character dialogue detection
    - Multiple voice styles (Biggles, Algy, Ginger, Bertie, etc.)
    - Emotion-based voice modulation
    - High-quality audio output
    """)
    
    with gr.Row():
        text_input = gr.Textbox(
            label="Enter Biggles Text:",
            placeholder='"Ready for takeoff!" said Biggles confidently...',
            lines=4
        )
    
    with gr.Row():
        process_btn = gr.Button("🎙️ Process Text", variant="primary")
        output = gr.Textbox(
            label="Processing Result",
            lines=8,
            interactive=False
        )
    
    # Examples
    gr.Examples(
        examples=[
            ['"Ready for takeoff!" said Biggles confidently. "The weather is perfect for flying."'],
            ['"Hello team," called Biggles. "All clear?" "Ready when you are, Biggles!" replied Algy.'],
            ['The morning mist clung to the airfield as Biggles surveyed the scene. His keen eyes scanned the horizon.'],
        ],
        inputs=[text_input]
    )
    
    # Footer
    gr.Markdown("""
    ---
    📚 **Biggles TTS Engine Demo** | Hugging Face Spaces Deployment Test
    
    *This demonstrates successful deployment. Full audio generation requires additional setup.*
    """)
    
    # Event handler
    process_btn.click(
        fn=biggles_tts_demo,
        inputs=[text_input],
        outputs=[output],
        show_progress=True
    )

# Launch the app
if __name__ == "__main__":
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=False
    )