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- # Exoskeleton Reasoning — Hugging Face Space
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-
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- A zero-setup Gradio demo for **Exoskeleton Reasoning**. It asks the model to return a compact JSON with slots:
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- `question, evidence, claims, sources, final_answer` and renders a structured panel + the raw JSON.
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-
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- ## Try locally
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- ```bash
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- pip install -r requirements.txt
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- export EXOSKELETON_MODEL_ID=Inpris/humains-junior # or another compatible instruct model
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- export HF_TOKEN=hf_xxx # if the model is gated
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- python app.py
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- ```
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-
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- ## Space secrets / variables
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- - **HF_TOKEN**: (Secret) your access token if the model is gated.
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- - **EXOSKELETON_MODEL_ID**: (Variable) defaults to `Inpris/humains-junior`.
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- - **DEVICE_MAP**: (Variable) defaults to `auto`. Set to `cuda` on GPU Spaces.
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- - **MAX_NEW_TOKENS**: (Variable) default 512.
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- - **TEMPERATURE**, **TOP_P**: sampling controls.
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-
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- ## Notes
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- - On free CPU Spaces, first token latency can be high. Consider enabling GPU or using a quantized checkpoint.
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- - If JSON parsing fails (some models may add prose), the app falls back to showing the raw text as the final answer.
 
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+ ---
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+ title: Exoskeleton Reasoning Demo
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+ emoji: 🦴
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+ colorFrom: indigo
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+ colorTo: blue
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+ sdk: gradio
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+ sdk_version: "4.44.0"
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+ app_file: app.py
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+ pinned: false
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+ ---