Create app.py

app.py

@@ -0,0 +1,30 @@
+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()