import gradio as gr

def chatbot_response(user_input):
    # Handle different questions
    if user_input.lower() in ['hello', 'hi', 'hey']:
        return "Hi there! How can I help you with your studies today?"
    elif 'supervised learning' in user_input.lower():
        return "Supervised learning is a machine learning approach where models are trained using labeled data."
    elif 'help' in user_input.lower():
        return "I'm here to assist with academic questions. Please specify what you'd like help with."
    else:
        return "I'm here to assist with academic questions. Please specify if you'd like help with any specific subject or topic."

with gr.Blocks() as demo:
    gr.Markdown("# Study Assistance Chatbot")
    gr.Markdown("Welcome! Ask me anything related to your academic studies.")

    with gr.Row():
        with gr.Column():
            user_input = gr.Textbox(label="Enter your question here:")
            submit_button = gr.Button("Submit")

        with gr.Column():
            chatbot_output = gr.Textbox(label="Chatbot Response", interactive=False)

    submit_button.click(chatbot_response, inputs=user_input, outputs=chatbot_output)

demo.launch()
from datasets import load_dataset