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added app.py
Browse files
app.py
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import os
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import gradio as gr
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import redis
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from openai import AzureOpenAI
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# Redis Cloud connection
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redis_client = redis.Redis(
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host='redis-12628.c14.us-east-1-2.ec2.redns.redis-cloud.com',
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port=12628,
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decode_responses=True,
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username="default",
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password=os.getenv("REDIS_PASSWORD") # store password as HF secret
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)
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# Azure OpenAI client
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client = AzureOpenAI(
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api_key=os.getenv("AZURE_OPENAI_API_KEY").strip(),
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api_version="2024-05-01-preview",
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azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT").strip()
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)
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DEPLOYMENT_NAME = " gpt-4.1"
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def chat_with_ai(user_input):
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if not user_input:
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return "Please type something."
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# Check Redis first
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cached = redis_client.get(user_input)
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if cached:
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return f"[From Redis] {cached}"
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# Otherwise query Azure OpenAI
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response = client.chat.completions.create(
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model=DEPLOYMENT_NAME,
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messages=[{"role": "user", "content": user_input}],
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max_tokens=150
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)
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output = response.choices[0].message.content.strip()
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# Save in Redis
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redis_client.setex(user_input, 3600, output)
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return f"[From OpenAI] {output}"
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# Gradio UI
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with gr.Blocks(title="Azure OpenAI + Redis Cloud Chat") as demo:
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gr.Markdown("# 💬 Azure OpenAI + Redis Cloud Demo")
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with gr.Row():
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chatbot = gr.Chatbot()
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with gr.Row():
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msg = gr.Textbox(placeholder="Type your message here...")
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send = gr.Button("Send")
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def respond(message, history):
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bot_reply = chat_with_ai(message)
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history.append((message, bot_reply))
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return history, ""
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send.click(respond, [msg, chatbot], [chatbot, msg])
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msg.submit(respond, [msg, chatbot], [chatbot, msg])
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if __name__ == "__main__":
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demo.launch(debug=True, server_name="0.0.0.0",server_port=7860,pwa=True)
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