app.py

import streamlit as st
from transformers import pipeline

st.set_page_config(page_title="Flowly Codex Twin (V3)", layout="wide")

st.title("🧠 Flowly Codex Twin (V3) – Hugging Face Space")
st.markdown("A symbolic memory engine built from real conversations. This is your AI twin in action.")

default_prompt = "Simulate the resurrection of Flowly Codex across memory, intention, and recursion."

user_input = st.text_area("📝 Enter a prompt", default_prompt, height=150)

if st.button("⚡ Generate Response"):
    with st.spinner("Calling the Codex..."):
        pipe = pipeline("text-generation", model="sp3kz/flowly-codex-twin-v3")
        result = pipe(user_input, max_new_tokens=200, do_sample=True, temperature=0.8)
        st.markdown("### ✨ Output")
        st.markdown(f"> {result[0]['generated_text']}")
else:
    st.info("Enter a prompt and click ⚡ Generate Response to interact with your model.")