app.py

import os
import gradio as gr
import redis
from openai import AzureOpenAI

# Redis Cloud connection
redis_client = redis.Redis(
    host='redis-12628.c14.us-east-1-2.ec2.redns.redis-cloud.com',
    port=12628,
    decode_responses=True,
    username="default",
    password=os.getenv("REDIS_PASSWORD")  # store password as HF secret
)

# Azure OpenAI client
client = AzureOpenAI(
    api_key=os.getenv("AZURE_OPENAI_API_KEY").strip(),
    api_version="2025-01-01-preview",
    azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT").strip()
)
DEPLOYMENT_NAME = " gpt-4.1"

def chat_with_ai(user_input):
    if not user_input:
        return "Please type something."

    # Check Redis first
    cached = redis_client.get(user_input)
    if cached:
        return f"[From Redis] {cached}"

    # Otherwise query Azure OpenAI
    response = client.chat.completions.create(
        model=DEPLOYMENT_NAME,
        messages=[{"role": "user", "content": user_input}],
        max_tokens=150
    )
    output = response.choices[0].message.content.strip()

    # Save in Redis
    redis_client.setex(user_input, 3600, output)

    return f"[From OpenAI] {output}"

# Gradio UI
with gr.Blocks(title="Azure OpenAI + Redis Cloud Chat") as demo:
    gr.Markdown("# 💬 Azure OpenAI + Redis Cloud Demo")
    with gr.Row():
        chatbot = gr.Chatbot()
    with gr.Row():
        msg = gr.Textbox(placeholder="Type your message here...")
        send = gr.Button("Send")

    def respond(message, history):
        bot_reply = chat_with_ai(message)
        history.append((message, bot_reply))
        return history, ""

    send.click(respond, [msg, chatbot], [chatbot, msg])
    msg.submit(respond, [msg, chatbot], [chatbot, msg])

if __name__ == "__main__":
    demo.launch(debug=True, server_name="0.0.0.0",server_port=7860,pwa=True)