app.py

import gradio as gr
import google.generativeai as genai
import os

# ✅ Load your API key securely (use Hugging Face Secrets or .env for local)
genai.configure(api_key=os.getenv("GEMINI_API_KEY"))

# ✅ Load Gemini Pro Model
model = genai.GenerativeModel(model_name="models/gemini-pro")

# ✅ Agentic AI Function
def agentic_ai(user_input, instructions):
    # Build prompt: you can adjust this to include history or goals
    prompt = f"""
Instructions: {instructions}

User input: {user_input}

Based on the instructions, respond intelligently.
"""
    try:
        response = model.generate_content(prompt)
        return response.text.strip()
    except Exception as e:
        return f"❌ Error: {str(e)}"

# ✅ Gradio UI
with gr.Blocks() as demo:
    gr.Markdown("### 🤖 Agentic AI Assistant (Powered by Gemini Pro)")

    with gr.Row():
        user_input = gr.Textbox(label="User Input", placeholder="Ask a question or request an action...")

    with gr.Row():
        instructions = gr.Textbox(
            value="You are an AI assistant. Understand the user's request and respond helpfully.",
            label="Runbook Instructions (Editable)"
        )

    output = gr.Textbox(label="Agent Response")

    run_btn = gr.Button("Run Agent")
    run_btn.click(fn=agentic_ai, inputs=[user_input, instructions], outputs=output)

demo.launch()