mirror of
https://github.com/onestardao/WFGY.git
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50 lines
2.9 KiB
Python
50 lines
2.9 KiB
Python
"""
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╭──────────────────────────────────────────────────────────╮
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│ WFGY SDK · Self-Healing Variance Gate for Any LLM │
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│----------------------------------------------------------│
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│ 💌 Contact : hello@onestardao.com / TG @PSBigBig │
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│ 🌐 Docs : https://onestardao.com/papers │
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│ 🐙 GitHub : https://github.com/onestardao/WFGY │
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│ │
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│ ★ Star WFGY 1.0 → Unlock 2.0 │
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│ 10k ⭐ by **Aug 1st** = next-gen AI alchemy │
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│ Your click = our quantum leap │
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│ │
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│ 🔍 Official PDF of WFGY 1.0 (Zenodo DOI): │
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│ https://doi.org/10.5281/zenodo.15630969 │
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│ (Hosted on Zenodo – trusted international archive) │
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│ │
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│ 🧬 WFGY BigBang Prompt Pack (v1.0): │
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│ https://doi.org/10.5281/zenodo.15657016 │
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│ (Prompts to trigger the gate; multilingual updates coming) │
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│ │
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│ 🧠 Hidden folder inside repo: /I_am_not_lizardman │
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│ (X secret papers, wild prompts, and Einstein drama) │
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│ │
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│ ⚠ GPT-2 demo is just the appetizer. With bigger LLMs, │
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│ WFGY activates variance-drop lasers and KL fireworks. │
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│ │
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│ 🎮 Bonus: Honest Hero RPG Channel → │
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│ https://www.youtube.com/@OneStarDao │
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╰──────────────────────────────────────────────────────────╯
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"""
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import wfgy_sdk as w, numpy as np, gradio as gr
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from wfgy_sdk.evaluator import compare_logits, pretty_print
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def run_wfgy(prompt):
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logits = w.call_remote_model(prompt, model_id="gpt2")
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G = np.random.randn(128); G /= np.linalg.norm(G)
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I = G + np.random.normal(scale=0.05, size=128)
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out = w.get_engine().run(input_vec=I, ground_vec=G, logits=logits)
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m = compare_logits(logits, out)
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delta = (1 - m["std_ratio"]) * 100
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return f"variance drop {delta:.0f}% • KL {m['kl_divergence']:.2f}"
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demo = gr.Interface(fn=run_wfgy,
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inputs=gr.Textbox(),
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outputs="textbox",
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title="WFGY Quick Test",
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description="Type any prompt. GPT-2 baseline, variance/KL will appear.")
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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