Add queue summary window, check GPU errors

2026-07-18 13:40:27 +02:00 · 2025-07-11 05:23:03 +03:00
parent 9b88a1ba55
commit ef1063018f
2 changed files with 66 additions and 10 deletions
@@ -1536,7 +1536,6 @@ class abogen(QWidget):
                QMessageBox.warning(self, "Duplicate Item", "This item is already in the queue.")
                return

-        print("Adding:", item_queue)
        self.enqueue(item_queue)
        # Clear input after adding to queue
        self.input_box.clear_input()
@@ -1758,6 +1757,48 @@ class abogen(QWidget):

        Thread(target=gpu_and_load, daemon=True).start()

+    def show_queue_summary(self):
+        """Show a styled, resizable summary dialog after queue finishes."""
+        if not self.queued_items:
+            return
+
+        # Build HTML summary for better styling
+        summary_html = "<html><body>"
+        for idx, item in enumerate(self.queued_items, 1):
+            status = "<span style='color:green;'>Completed</span>"
+            output = getattr(item, "output_path", None)
+            if not output:
+                output = "Unknown"
+            summary_html += (
+                f"<b>{idx}) {os.path.basename(item.file_name)}</b><br>"
+                f"<span style='color:#555;'>Language:</span> {item.lang_code}<br>"
+                f"<span style='color:#555;'>Voice:</span> {item.voice}<br>"
+                f"<span style='color:#555;'>Output:</span> <span style='color:#007acc;'>{output}</span><br>"
+                f"<span style='color:#555;'>Status:</span> {status}"
+                f"<br><br>"
+            )
+        summary_html += "</body></html>"
+
+        dialog = QDialog(self)
+        dialog.setWindowTitle("Queue Summary")
+        dialog.resize(600, 500)  # Make window resizable and larger
+
+        layout = QVBoxLayout(dialog)
+        text_edit = QTextEdit(dialog)
+        text_edit.setReadOnly(True)
+        text_edit.setHtml(summary_html)
+        layout.addWidget(text_edit)
+
+        close_btn = QPushButton("Close", dialog)
+        close_btn.setFixedHeight(36)
+        close_btn.clicked.connect(dialog.accept)
+        layout.addWidget(close_btn)
+
+        dialog.setLayout(layout)
+        dialog.setMinimumSize(400, 300)
+        dialog.setSizeGripEnabled(True)  # Allow resizing
+        dialog.exec_()
+
    def on_conversion_finished(self, message, output_path):
        prevent_sleep_end()
        if message == "Cancelled":
@@ -1786,6 +1827,10 @@ class abogen(QWidget):
        self.update_log(message)
        if output_path:
            self.last_output_path = output_path
+            # Store output_path in the current queued item if in queue mode
+            if self.queued_items and self.current_queue_index < len(self.queued_items):
+                self.queued_items[self.current_queue_index].output_path = output_path
+
        self.etr_label.hide()  # Hide ETR label
        self.progress_bar.setValue(100)
        self.progress_bar.hide()
@@ -1808,7 +1853,7 @@ class abogen(QWidget):
        if self.open_file_btn:
            self.open_file_btn.setVisible(show_open_file_button)

-        # Only show finish_widget if queue is done ---
+        # Only show finish_widget if queue is done
        if self.current_queue_index + 1 >= len(self.queued_items) or not self.queued_items:
            # Queue finished, show finish screen
            self.controls_widget.hide()
@@ -1816,6 +1861,9 @@ class abogen(QWidget):
            self.log_text.moveCursor(QTextCursor.End)
            self.log_text.ensureCursorVisible()
            save_config(self.config)
+            # Show queue summary if more than one item
+            if len(self.queued_items) > 1:
+                self.show_queue_summary()
        else:
            # More items in queue: clear log and reload for next item
            self.log_text.clear()
@@ -217,14 +217,22 @@ def calculate_text_length(text):


 def get_gpu_acceleration(enabled):
+    try:
+        import torch
        from torch.cuda import is_available
-
        if not enabled:
            return "CUDA GPU available but using CPU.", False
-
        if is_available():
            return "CUDA GPU available and enabled.", True
-    return "CUDA GPU is not available. Using CPU.", False
+        # Gather more diagnostic info if CUDA is not available
+        try:
+            cuda_devices = torch.cuda.device_count()
+            cuda_error = torch.cuda.get_device_name(0) if cuda_devices > 0 else "No devices found"
+        except Exception as e:
+            cuda_error = str(e)
+        return f"CUDA GPU is not available. Using CPU.\nDetails: {cuda_error}", False
+    except Exception as e:
+        return f"Error checking CUDA GPU: {e}", False


 def prevent_sleep_start():