app.py

import time
import gradio as gr

# --- Custom CSS to mimic your original look ---
custom_css = """
:root {
  --primary: #6366f1;
  --primary-dark: #4f46e5;
  --secondary: #10b981;
  --dark: #1e293b;
  --light: #f8fafc;
  --gray: #94a3b8;
  --danger: #ef4444;
}

body {
  background: linear-gradient(135deg, #0f172a, #1e293b) !important;
  color: var(--light) !important;
}

.gradio-container {
  max-width: 1200px !important;
  margin: 0 auto !important;
  padding: 20px !important;
  font-family: "Segoe UI", Tahoma, Geneva, Verdana, sans-serif;
}

h1, h2, h3 {
  font-family: "Segoe UI", Tahoma, Geneva, Verdana, sans-serif;
}

.rvc-card {
  background: rgba(30, 41, 59, 0.7);
  backdrop-filter: blur(10px);
  border-radius: 16px;
  padding: 30px;
  margin-bottom: 30px;
  box-shadow: 0 10px 25px rgba(0, 0, 0, 0.3);
  border: 1px solid rgba(255, 255, 255, 0.1);
}

.rvc-title {
  font-size: 2.5rem;
  margin-bottom: 10px;
  background: linear-gradient(to right, #8b5cf6, #06b6d4);
  -webkit-background-clip: text;
  -webkit-text-fill-color: transparent;
  text-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
  text-align: center;
}

.rvc-subtitle {
  font-size: 1.2rem;
  color: var(--gray);
  max-width: 600px;
  margin: 0 auto;
  text-align: center;
}

.rvc-card-title {
  font-size: 1.5rem;
  margin-bottom: 20px;
  color: #8b5cf6;
  display: flex;
  align-items: center;
  gap: 10px;
}

.rvc-status {
  padding: 15px;
  border-radius: 8px;
  margin-top: 20px;
  text-align: center;
  font-weight: 500;
}

.rvc-status-processing {
  background: rgba(59, 130, 246, 0.2);
  color: #3b82f6;
}

.rvc-status-success {
  background: rgba(16, 185, 129, 0.2);
  color: var(--secondary);
}

.rvc-status-error {
  background: rgba(239, 68, 68, 0.2);
  color: var(--danger);
}

/* Fake progress bar */
.rvc-progress-container {
  height: 8px;
  background: rgba(15, 23, 42, 0.5);
  border-radius: 4px;
  overflow: hidden;
  margin: 20px 0;
}

.rvc-progress-bar {
  height: 100%;
  background: linear-gradient(to right, var(--primary), var(--secondary));
  width: 0%;
  transition: width 0.2s ease;
}

/* Make Gradio buttons vaguely match your buttons */
button, .gr-button {
  font-weight: 600 !important;
  border-radius: 8px !important;
}

/* Smaller screens tweaks */
@media (max-width: 768px) {
  .rvc-card {
    padding: 20px;
  }
  .rvc-title {
    font-size: 2rem;
  }
}
"""


# --- Backend logic (simulated) ---

def train_model(files, model_name, voice_type, quality, epochs, trained, progress=gr.Progress(track_tqdm=True)):
    """Simulate model training."""
    if not files:
        # No files → error
        status_html = (
            '<div class="rvc-status rvc-status-error">'
            "Please upload at least one audio file."
            "</div>"
        )
        # progress_html with 0%
        progress_html = (
            '<div class="rvc-progress-container">'
            '<div class="rvc-progress-bar" style="width:0%"></div>'
            "</div>"
        )
        return status_html, False, progress_html

    model_name = model_name or "MySingingVoice"
    steps = 20
    # Simulate training loop
    for i in progress.tqdm(range(steps), desc=f'Training "{model_name}"'):
        time.sleep(0.15)

    status_html = (
        '<div class="rvc-status rvc-status-success">'
        f'Model "{model_name}" trained successfully!'
        "</div>"
    )
    progress_html = (
        '<div class="rvc-progress-container">'
        '<div class="rvc-progress-bar" style="width:100%"></div>'
        "</div>"
    )
    return status_html, True, progress_html


def preview_model(trained, model_name):
    """Simulate generating a preview."""
    model_name = model_name or "MySingingVoice"
    if not trained:
        return (
            '<div class="rvc-status rvc-status-error">'
            "Please train a model first."
            "</div>"
        )
    # Fake delay for “preview generation”
    time.sleep(1.0)
    return (
        '<div class="rvc-status rvc-status-success">'
        f'Preview generated successfully for "{model_name}"! '
        "Imagine your custom voice playing here 🎵"
        "</div>"
    )


def export_model(trained, what):
    """Simulate export of model / sample / info."""
    if not trained:
        return (
            '<div class="rvc-status rvc-status-error">'
            "Please train a model before exporting."
            "</div>"
        )
    time.sleep(0.8)
    return (
        '<div class="rvc-status rvc-status-success">'
        f'{what} exported successfully! (Demo only – no real file generated)'
        "</div>"
    )


def reset_app():
    """Reset everything to defaults."""
    status_html = ""
    trained = False
    model_name = "MySingingVoice"
    voice_type = "soprano"
    quality = "high"
    epochs = 300
    files = None
    progress_html = (
        '<div class="rvc-progress-container">'
        '<div class="rvc-progress-bar" style="width:0%"></div>'
        "</div>"
    )
    return status_html, trained, model_name, voice_type, quality, epochs, files, progress_html


# --- Gradio UI ---

with gr.Blocks(css=custom_css, title="RVC Voice Model Creator") as demo:
    # Header
    gr.HTML(
        """
        <h1 class="rvc-title">RVC Voice Model Creator</h1>
        <p class="rvc-subtitle">
            Upload your audio files to create custom singing voice models for AI voice conversion.
        </p>
        """
    )

    trained_state = gr.State(False)

    # --- Upload Card ---
    with gr.Group(elem_classes="rvc-card"):
        gr.HTML('<h2 class="rvc-card-title">📁 Upload Audio Files</h2>')
        files = gr.File(
            label="Drag & drop your audio files here or click to browse",
            file_types=["audio"],
            file_count="multiple",
        )

    # --- Settings + Training Card ---
    with gr.Group(elem_classes="rvc-card"):
        gr.HTML('<h2 class="rvc-card-title">⚙️ Model Settings</h2>')

        with gr.Row():
            with gr.Column():
                model_name = gr.Textbox(
                    label="Model Name",
                    value="MySingingVoice",
                    placeholder="Enter your model name",
                )
                voice_type = gr.Dropdown(
                    label="Voice Type",
                    choices=[
                        "soprano",
                        "alto",
                        "tenor",
                        "bass",
                        "custom",
                    ],
                    value="soprano",
                )
            with gr.Column():
                quality = gr.Dropdown(
                    label="Quality Level",
                    choices=["high", "medium", "low"],
                    value="high",
                )
                epochs = gr.Slider(
                    label="Training Epochs",
                    minimum=50,
                    maximum=1000,
                    step=10,
                    value=300,
                )

        progress_html = gr.HTML(
            value=(
                '<div class="rvc-progress-container">'
                '<div class="rvc-progress-bar" style="width:0%"></div>'
                "</div>"
            )
        )

        status_html = gr.HTML(value="")

        with gr.Row():
            train_btn = gr.Button("🚀 Train Model", variant="primary")
            preview_btn = gr.Button("👁️ Preview Model", variant="secondary")
            reset_btn = gr.Button("🗑️ Reset All", variant="stop")

    # --- Export Card ---
    with gr.Group(elem_classes="rvc-card"):
        gr.HTML('<h2 class="rvc-card-title">📥 Export Model</h2>')

        with gr.Row():
            with gr.Column():
                gr.Markdown("**RVC Model**  \n.pth weight file for voice conversion")
                export_rvc_btn = gr.Button("Download RVC")
            with gr.Column():
                gr.Markdown("**Sample Audio**  \nConverted sample with your voice")
                export_sample_btn = gr.Button("Download Sample")
            with gr.Column():
                gr.Markdown("**Model Info**  \nConfiguration and training details")
                export_info_btn = gr.Button("Download Info")

    # Footer note
    gr.Markdown(
        "> RVC Voice Model Creator | Create custom singing voices for AI applications  \n"
        "> **Note:** This Space is a frontend/demo. Real RVC training needs a proper backend pipeline."
    )

    # --- Wiring logic ---

    # Train button
    train_btn.click(
        fn=train_model,
        inputs=[files, model_name, voice_type, quality, epochs, trained_state],
        outputs=[status_html, trained_state, progress_html],
    )

    # Preview button
    preview_btn.click(
        fn=preview_model,
        inputs=[trained_state, model_name],
        outputs=status_html,
    )

    # Export buttons
    export_rvc_btn.click(
        fn=export_model,
        inputs=[trained_state, gr.State("RVC model (.pth)")],
        outputs=status_html,
    )
    export_sample_btn.click(
        fn=export_model,
        inputs=[trained_state, gr.State("Sample audio")],
        outputs=status_html,
    )
    export_info_btn.click(
        fn=export_model,
        inputs=[trained_state, gr.State("Model info")],
        outputs=status_html,
    )

    # Reset button
    reset_btn.click(
        fn=reset_app,
        inputs=None,
        outputs=[
            status_html,
            trained_state,
            model_name,
            voice_type,
            quality,
            epochs,
            files,
            progress_html,
        ],
    )

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