app.py

import gradio as gr

# Define the main chat response function.
def chat_response(user_input):
    # Your chat response logic here.
    return "Hello, I am a chatbot. How can I help you?"

# Create the Gradio interface.
iface = gr.Interface(
    fn=chat_response,
    inputs=gr.Textbox(label="User Input"),
    outputs=gr.Textbox(label="Chatbot Response"),
)

# Add the code editor and debug screen.
code_editor = gr.Code(label="Code Editor")
debug_screen = gr.Textbox(label="Debug Screen")

# Define the function to execute the Python code.
def execute_code(code):
    try:
        # Execute the code and capture the output.
        output = eval(code)
        debug_screen.update(f"Code executed successfully.\nOutput: {output}")
    except Exception as e:
        debug_screen.update(f"Error executing code: {e}")

# Create the Gradio interface for the code execution.
code_execution_iface = gr.Interface(
    fn=execute_code,
    inputs=code_editor,
    outputs=debug_screen,
)

# Add the screens to the main interface.
iface.cache_examples(
    [
        ("What is the capital of France?", "Paris"),
        ("What is the square root of 16?", 4),
    ]
)

# Launch the Gradio interface.
iface.launch()