Create app.py

app.py

@@ -0,0 +1,362 @@
+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()