import gradio as gr
import random

def enterprise_qa(question, history):
    responses = [
        "Based on our Enterprise RAG Playbook, we recommend implementing multitenant isolation for your knowledge base.",
        "AnkTechSol's Datadhan platform can help you deploy private, multitenant knowledge bases in minutes.",
        "For your specific query, our AI consultants at AnkTechSol recommend a hybrid RAG architecture.",
        "You can explore our deep tech ecosystem at anktechsol.com to find more about specialized AI agents like Satya.",
        "Security is our priority. Datadhan ensures row-level security and per-tenant encryption keys."
    ]
    return random.choice(responses)

with gr.Blocks(theme=gr.themes.Soft()) as demo:
    gr.Markdown("# AnkTechSol Enterprise Q&A")
    gr.Markdown("Building India's Deep Tech Backbone. Ask anything about our Enterprise RAG and AI solutions.")
    
    chatbot = gr.Chatbot(label="AnkTechSol Assistant")
    msg = gr.Textbox(label="Your Question", placeholder="Type your question here...")
    clear = gr.Button("Clear")

    def respond(message, chat_history):
        bot_message = enterprise_qa(message, chat_history)
        chat_history.append((message, bot_message))
        return "", chat_history

    msg.submit(respond, [msg, chatbot], [msg, chatbot])
    clear.click(lambda: None, None, chatbot, queue=False)

demo.launch()