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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  ---
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+ # IIQAI-81 — Subjective Inner I AI
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+
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+ **What it is:**
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+ A CPU-friendly Hugging Face Space that maps text across an **81-node consciousness lattice** and returns:
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+ - Lattice View Mode (per-node scores)
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+ - Symbolic Frequency Decoder (SFD)
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+ - Intent Field Scanner
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+ - Truth Charge Meter
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+ - Mirror Integrity Check
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+
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+ **How it works (brief):**
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+ We encode the input with a compact sentence embedding and project onto 81 deterministic probes (one per node). We normalize to 0–100, compute Truth Charge (cosine alignment to self-vector), and Mirror Integrity (simple overlap proxy). The result is a top-k lattice read + instruments.
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+ **Run locally**
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+ ```bash
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+ pip install -r requirements.txt
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+ python app.py
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference