Redesign this GUI for a more chat friendly enviroment to support coding and general conversation as well as research and web searches, building databases leveraging the llm and having it utilize the research and being interactive.import sys
from PyQt6.QtWidgets import (
    QApplication, QMainWindow, QWidget, QVBoxLayout, QLabel, QPushButton,
    QLineEdit, QMenuBar, QToolBar, QTabWidget, QTreeView, QMessageBox
)
from PyQt6.QtGui import QAction, QIcon, QDesktopServices, QFileSystemModel  # QFileSystemModel is now correctly imported
from PyQt6.QtCore import Qt, QUrl
from gradio_client import Client

class MainWindow(QMainWindow):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("PyQt6 and Gradio Client Example")
        self.setGeometry(100, 100, 1200, 800)

        # Initialize the Gradio Client
        self.client = Client("yuntian-deng/ChatGPT4")

        self.initUI()

    def initUI(self):
        # Create a central widget with tabs
        central_widget = QTabWidget()
        self.setCentralWidget(central_widget)

        tab1 = QWidget()
        tab2 = QWidget()
        tab1_layout = QVBoxLayout()
        tab2_layout = QVBoxLayout()

        # Widgets for the Gradio Client interaction in Tab 1
        self.input_text = QLineEdit("Enter text to predict")
        predict_button = QPushButton("Predict")
        predict_button.clicked.connect(self.predict_text)

        reset_button = QPushButton("Reset Textbox")
        reset_button.clicked.connect(self.reset_textbox)

        self.output_label = QLabel("Prediction Result")

        tab1_layout.addWidget(self.input_text)
        tab1_layout.addWidget(predict_button)
        tab1_layout.addWidget(reset_button)
        tab1_layout.addWidget(self.output_label)
        tab1.setLayout(tab1_layout)

        # File Explorer for Tab 2
        file_model = QFileSystemModel()
        file_model.setRootPath('')  # You may want to set this to a specific path
        tree_view = QTreeView()
        tree_view.setModel(file_model)
        tree_view.setRootIndex(file_model.index(''))  # Set the root path here
        tab2_layout.addWidget(tree_view)
        tab2.setLayout(tab2_layout)

        # Add tabs to the central widget
        central_widget.addTab(tab1, "Gradio API Interaction")
        central_widget.addTab(tab2, "File Explorer")

        # Menubar with Help section
        menu_bar = self.menuBar()
        help_menu = menu_bar.addMenu("Help")

        about_action = QAction("About", self)
        about_action.triggered.connect(self.show_about)
        open_browser_action = QAction("Open Web Browser", self)
        open_browser_action.triggered.connect(lambda: QDesktopServices.openUrl(QUrl("http://www.example.com")))

        help_menu.addAction(about_action)
        help_menu.addAction(open_browser_action)

        # Toolbar
        tool_bar = QToolBar("Main Toolbar")
        self.addToolBar(tool_bar)

        # Dark theme
        self.setStyleSheet("""
            QMainWindow {
                background-color: #2b2b2b;
                color: #ffffff;
            }
            QMenuBar, QToolBar, QStatusBar {
                background-color: #2b2b2b;
                color: #ffffff;
            }
            QPushButton {
                background-color: #3c3c3c;
                color: #ffffff;
            }
            QLineEdit, QTextEdit {
                background-color: #454545;
                color: #ffffff;
            }
            QLabel {
                color: #ffffff;
            }
            QTreeView {
                background-color: #2b2b2b;
                color: #ffffff;
            }
            QHeaderView::section {
                background-color: #3c3c3c;
                color: #ffffff;
            }
        """)

    def reset_textbox(self):
        # Reset the input textbox and label
        self.input_text.setText("")
        self.output_label.setText("Textbox reset.")
        QMessageBox.information(self, "Textbox Reset", "The textbox has been reset.")

    def predict_text(self):
        inputs = self.input_text.text()
        try:
            result = self.client.predict(
                inputs=inputs,
                api_name="/predict"
            )
            self.output_label.setText(f"Prediction: {result[0]}")
            QMessageBox.information(self, "Prediction", f"Response: {result}")
        except Exception as e:
            QMessageBox.critical(self, "Error", f"An error occurred: {str(e)}")

    def show_about(self):
        QMessageBox.about(self, "About", "This application uses Gradio Client with PyQt6 to interact with a model API.")

if __name__ == '__main__':
    app = QApplication(sys.argv)
    window = MainWindow()
    window.show()
    sys.exit(app.exec())