28 lines
1.2 KiB
Python
28 lines
1.2 KiB
Python
import os
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import gradio as gr
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REPO_ID = "AbteeXAILab/lumynax-longctx-prolong-512k-instruct"
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UPSTREAM = "princeton-nlp/Llama-3-8B-ProLong-512k-Instruct"
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TITLE = "LumynaX Long-Context ProLong-512K Instruct"
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THEME_CSS = """
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:root { --lx-paper:#fffefa; --lx-ink:#0a0a0b; --lx-amber:#e08a2c; }
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body, .gradio-container { background: var(--lx-paper) !important; color: var(--lx-ink) !important; }
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h1, h2, h3 { font-family: 'Cormorant Garamond', 'EB Garamond', Georgia, serif; }
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"""
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def chat_stub(message, history):
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return (
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f"This Space is a scaffold for **{TITLE}**. The upstream model is `{UPSTREAM}` "
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f"and the LumynaX package repo is `{REPO_ID}`. Cloud inference for >100B MoE models "
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f"is not run inside this free Space — clone the repo and run `quickstart.py` on a "
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f"capable host. You asked: {message!r}."
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)
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with gr.Blocks(css=THEME_CSS, title=TITLE) as demo:
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gr.Markdown(f"# {TITLE}\n*Sovereign intelligence, held in the light.*\n\nLumynaX release scaffold — clone `{REPO_ID}` for the full package.")
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gr.ChatInterface(chat_stub, examples=["Explain LumynaX in 2 bullets.", "Why local-first AI for Aotearoa?"])
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if __name__ == "__main__":
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demo.launch()
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