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uploaded app

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  1. app.py +20 -0
app.py ADDED
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+ import streamlit as st
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+ from transformers import pipeline
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+
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+ st.set_page_config(page_title="Flowly Codex Twin (V3)", layout="wide")
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+
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+ st.title("🧠 Flowly Codex Twin (V3) – Hugging Face Space")
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+ st.markdown("A symbolic memory engine built from real conversations. This is your AI twin in action.")
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+
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+ default_prompt = "Simulate the resurrection of Flowly Codex across memory, intention, and recursion."
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+
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+ user_input = st.text_area("📝 Enter a prompt", default_prompt, height=150)
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+
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+ if st.button("⚡ Generate Response"):
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+ with st.spinner("Calling the Codex..."):
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+ pipe = pipeline("text-generation", model="sp3kz/flowly-codex-twin-v3")
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+ result = pipe(user_input, max_new_tokens=200, do_sample=True, temperature=0.8)
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+ st.markdown("### ✨ Output")
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+ st.markdown(f"> {result[0]['generated_text']}")
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+ else:
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+ st.info("Enter a prompt and click ⚡ Generate Response to interact with your model.")