Instructions to use Meanblock/JEV-CPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Meanblock/JEV-CPU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Meanblock/JEV-CPU")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Meanblock/JEV-CPU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 15,704 Bytes
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"""
SemIf 웹 UI 서버 (CPU 백엔드).
- 백엔드 엔진: SemIf( /tmp/SemIf )의 direct.score() — 텍스트 생성 없이 옵션 logits 읽기
- 모델: Qwen/Qwen3-0.6B (CPU / float32), 서버 시작 시 1회 로드 후 재사용
- UI: 좌상단=판단할 데이터(state), 좌하단=기준 추가, 우측=판단 결과
- 포트: 8080
. .venv/bin/activate && python server.py
"""
import json
import threading
import time
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from semif_cpu import load_causal_model_cpu, direct_score, MODEL, REVISION
PORT = 8080
_LOCK = threading.Lock()
_STATE = {"model": None, "tokenizer": None, "meta": None}
def get_engine():
if _STATE["model"] is None:
print(f"[engine] loading {MODEL} @ {REVISION} (CPU/float32) ...", flush=True)
t0 = time.time()
m, tok, meta = load_causal_model_cpu(MODEL, REVISION)
_STATE.update(model=m, tokenizer=tok, meta=meta)
print(f"[engine] ready in {time.time()-t0:.1f}s", flush=True)
return _STATE["model"], _STATE["tokenizer"], _STATE["meta"]
def decide(state, criteria):
"""criteria: [{id, question, options:[{id, description}]}] -> 결과 리스트."""
model, tok, meta = get_engine()
results = []
with _LOCK:
for crit in criteria:
row = {
"id": crit.get("id") or "criterion",
"state": state,
"question": crit.get("question", ""),
"options": crit.get("options", []),
}
try:
r = direct_score(model, tok, row, meta)
pairs = sorted(
zip(r["option_ids"], r["probabilities"]), key=lambda x: -x[1]
)
results.append({
"id": row["id"],
"question": row["question"],
"winner": pairs[0][0],
"ranked": [{"id": o, "prob": p} for o, p in pairs],
"forward_seconds": round(r["forward_seconds"], 2),
"input_tokens": r["input_tokens"],
"error": None,
})
except Exception as exc: # SemIf validate_row 등에서 발생
results.append({
"id": row["id"], "question": row["question"],
"winner": None, "ranked": [], "error": str(exc),
})
return results
class Handler(BaseHTTPRequestHandler):
def log_message(self, *a):
pass
def _send(self, code, body, ctype="application/json; charset=utf-8"):
data = body.encode("utf-8") if isinstance(body, str) else body
self.send_response(code)
self.send_header("Content-Type", ctype)
self.send_header("Content-Length", str(len(data)))
self.end_headers()
self.wfile.write(data)
def do_GET(self):
if self.path in ("/", "/index.html"):
self._send(200, PAGE, "text/html; charset=utf-8")
elif self.path == "/api/health":
self._send(200, json.dumps({"ok": True, "model": MODEL,
"loaded": _STATE["model"] is not None}))
else:
self._send(404, json.dumps({"error": "not found"}))
def do_POST(self):
if self.path != "/api/decide":
self._send(404, json.dumps({"error": "not found"}))
return
try:
length = int(self.headers.get("Content-Length", 0))
payload = json.loads(self.rfile.read(length) or b"{}")
state = payload.get("state")
criteria = payload.get("criteria", [])
if not state or not isinstance(criteria, list) or not criteria:
raise ValueError("state 와 criteria(1개 이상)가 필요합니다")
t0 = time.time()
results = decide(state, criteria)
self._send(200, json.dumps({
"results": results,
"total_seconds": round(time.time() - t0, 2),
"model": MODEL,
}, ensure_ascii=False))
except Exception as exc:
self._send(400, json.dumps({"error": str(exc)}, ensure_ascii=False))
PAGE = r"""<!doctype html>
<html lang="en"><head>
<meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1">
<title>JEV-CPU · Semantic Decisions on CPU</title>
<style>
:root{
--bg:#0e1116; --panel:#161b22; --panel2:#1c232d; --border:#2a323d;
--txt:#e6edf3; --muted:#8b98a5; --accent:#4c8dff; --accent2:#2ea043;
--danger:#f85149; --chip:#22303f;
}
*{box-sizing:border-box}
body{margin:0;font:14px/1.5 -apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,"Noto Sans KR",sans-serif;
background:var(--bg);color:var(--txt);height:100vh;overflow:hidden}
header{display:flex;align-items:center;gap:12px;padding:12px 20px;border-bottom:1px solid var(--border);
background:var(--panel)}
header h1{font-size:16px;margin:0;font-weight:650}
header .tag{font-size:11px;color:var(--muted);border:1px solid var(--border);padding:2px 8px;border-radius:20px}
header .spacer{flex:1}
#status{font-size:12px;color:var(--muted)}
.grid{display:grid;grid-template-columns:minmax(340px,1fr) minmax(360px,1.1fr);
grid-template-rows:1fr 1fr;gap:14px;padding:14px;height:calc(100vh - 53px)}
.panel{background:var(--panel);border:1px solid var(--border);border-radius:12px;
display:flex;flex-direction:column;overflow:hidden}
.panel > .head{padding:10px 14px;border-bottom:1px solid var(--border);font-weight:600;
display:flex;align-items:center;gap:8px;font-size:13px}
.panel > .head .num{width:20px;height:20px;border-radius:6px;background:var(--chip);color:var(--accent);
display:grid;place-items:center;font-size:11px;font-weight:700}
.panel > .body{padding:14px;overflow:auto;flex:1}
/* left column stack */
#pData{grid-row:1;grid-column:1}
#pCrit{grid-row:2;grid-column:1}
#pResult{grid-row:1 / span 2;grid-column:2}
textarea,input,select{width:100%;background:var(--panel2);border:1px solid var(--border);color:var(--txt);
border-radius:8px;padding:8px 10px;font:inherit;resize:vertical}
textarea{min-height:120px;height:100%}
#pData .body{display:flex}
label.mini{font-size:11px;color:var(--muted);display:block;margin:8px 0 4px}
button{cursor:pointer;border:1px solid var(--border);background:var(--panel2);color:var(--txt);
border-radius:8px;padding:7px 12px;font:inherit;font-weight:600}
button:hover{border-color:var(--accent)}
button.primary{background:var(--accent);border-color:var(--accent);color:#fff}
button.primary:disabled{opacity:.5;cursor:not-allowed}
button.mini{padding:3px 8px;font-size:12px;font-weight:500}
.crit{border:1px solid var(--border);border-radius:10px;padding:10px;margin-bottom:10px;background:var(--panel2)}
.crit .row{display:flex;gap:8px;align-items:center;margin-bottom:6px}
.crit .row input{flex:1}
.opt{display:flex;gap:6px;align-items:center;margin:4px 0}
.opt input:first-child{flex:0 0 90px}
.opt input:last-child{flex:1}
.crit .del{color:var(--danger);border-color:transparent;background:transparent}
.toolbar{display:flex;gap:8px;margin-top:6px}
/* results */
.res{border:1px solid var(--border);border-radius:10px;padding:12px;margin-bottom:12px;background:var(--panel2)}
.res h3{margin:0 0 2px;font-size:13px}
.res .q{color:var(--muted);font-size:12px;margin-bottom:10px}
.res .winner{display:inline-block;background:rgba(46,160,67,.15);color:var(--accent2);
border:1px solid rgba(46,160,67,.4);padding:2px 10px;border-radius:20px;font-weight:700;font-size:12px;margin-bottom:10px}
.bar{margin:7px 0}
.bar .lab{display:flex;justify-content:space-between;font-size:12px;margin-bottom:3px}
.bar .track{height:8px;background:#0c0f14;border-radius:6px;overflow:hidden}
.bar .fill{height:100%;background:linear-gradient(90deg,#4c8dff,#7aa8ff);border-radius:6px;transition:width .4s}
.bar.top .fill{background:linear-gradient(90deg,#2ea043,#57d977)}
.res .meta{color:var(--muted);font-size:11px;margin-top:8px}
.err{color:var(--danger);font-size:12px}
.empty{color:var(--muted);text-align:center;margin-top:40px;font-size:13px}
.hint{color:var(--muted);font-size:11px;margin-top:6px}
</style></head><body>
<header>
<h1>⚡ JEV-CPU</h1><span class="tag">Semantic decisions · CPU · SemIf engine</span>
<span class="spacer"></span>
<span id="status">Checking engine…</span>
<button class="primary" id="runBtn" onclick="run()">▶ Run decisions</button>
</header>
<div class="grid">
<section class="panel" id="pData">
<div class="head"><span class="num">1</span> State / Evidence <span style="color:var(--muted);font-weight:400">— data to judge · ≤ ~4,096 tok/decision (model ctx 40,960)</span></div>
<div class="body">
<textarea id="state" placeholder="Paste the data to judge here. e.g. a customer review, support ticket, log line, or JSON."></textarea>
</div>
</section>
<section class="panel" id="pCrit">
<div class="head"><span class="num">2</span> Criteria <span style="color:var(--muted);font-weight:400">— add / edit decisions</span></div>
<div class="body">
<div id="crits"></div>
<div class="toolbar">
<button class="mini" onclick="addCrit()">+ Add criterion</button>
<button class="mini" onclick="loadOriginalExamples()" title="Load the 3 criteria from upstream SemIf examples/decisions.jsonl">↧ Load SemIf examples</button>
<button class="mini" onclick="clearCrits()">Clear</button>
</div>
<div class="hint">Each criterion = a question + 2–16 typed options (id · description). The model reads the option probabilities to decide — same schema as upstream SemIf.</div>
</div>
</section>
<section class="panel" id="pResult">
<div class="head"><span class="num">3</span> Results</div>
<div class="body" id="results"><div class="empty">Add criteria and click <b>Run decisions</b>.</div></div>
</section>
</div>
<script>
let CID=0;
function el(h){const t=document.createElement('template');t.innerHTML=h.trim();return t.content.firstChild;}
function addCrit(q,opts){
CID++;
const c=el(`<div class="crit" data-cid="${CID}">
<div class="row">
<input class="q" placeholder="Question (e.g. Classify the customer's sentiment)" value="${q||''}">
<button class="del mini" title="Remove criterion">✕</button>
</div>
<div class="opts"></div>
<button class="mini addopt">+ option</button>
</div>`);
c.querySelector('.del').onclick=()=>c.remove();
c.querySelector('.addopt').onclick=()=>c.querySelector('.opts').appendChild(optRow());
const ob=c.querySelector('.opts');
(opts||[['yes','Yes'],['no','No']]).forEach(o=>ob.appendChild(optRow(o[0],o[1])));
document.getElementById('crits').appendChild(c);
}
function optRow(id,desc){
const o=el(`<div class="opt">
<input placeholder="id" value="${id||''}">
<input placeholder="description" value="${desc||''}">
<button class="del mini">✕</button></div>`);
o.querySelector('.del').onclick=()=>o.remove();
return o;
}
function collect(){
const state=document.getElementById('state').value.trim();
const crits=[...document.querySelectorAll('.crit')].map(c=>({
id:'c'+c.dataset.cid,
question:c.querySelector('.q').value.trim(),
options:[...c.querySelectorAll('.opt')].map(o=>{
const i=o.querySelectorAll('input');
return {id:i[0].value.trim(),description:i[1].value.trim()};
}).filter(o=>o.id&&o.description)
}));
return {state,criteria:crits};
}
async function run(){
const {state,criteria}=collect();
const box=document.getElementById('results');
if(!state){box.innerHTML='<div class="err">Enter the data to judge in the top-left panel.</div>';return;}
if(!criteria.length){box.innerHTML='<div class="err">Add at least one criterion.</div>';return;}
const btn=document.getElementById('runBtn');btn.disabled=true;btn.textContent='Deciding…';
box.innerHTML='<div class="empty">Running on CPU… (the first request also loads the model)</div>';
try{
const res=await fetch('/api/decide',{method:'POST',headers:{'Content-Type':'application/json'},
body:JSON.stringify({state,criteria})});
const data=await res.json();
if(!res.ok){box.innerHTML='<div class="err">'+(data.error||'오류')+'</div>';return;}
render(data);
}catch(e){box.innerHTML='<div class="err">'+e+'</div>';}
finally{btn.disabled=false;btn.textContent='▶ Run decisions';}
}
function render(data){
const box=document.getElementById('results');
box.innerHTML='';
data.results.forEach(r=>{
if(r.error){
box.appendChild(el(`<div class="res"><h3>${r.question||r.id}</h3><div class="err">⚠ ${r.error}</div></div>`));
return;
}
const bars=r.ranked.map((o,i)=>`
<div class="bar ${i===0?'top':''}">
<div class="lab"><span>${o.id}</span><span>${(o.prob*100).toFixed(1)}%</span></div>
<div class="track"><div class="fill" style="width:${(o.prob*100).toFixed(1)}%"></div></div>
</div>`).join('');
box.appendChild(el(`<div class="res">
<h3>${r.question||r.id}</h3>
<div class="winner">→ ${r.winner}</div>
${bars}
<div class="meta">forward ${r.forward_seconds}s · ${r.input_tokens} tokens</div>
</div>`));
});
box.appendChild(el(`<div class="meta" style="text-align:right">
Method: <b>JEV-CPU</b> engine (SemIf · logit readout) · Brain model: <b>${data.model}</b> · ${data.total_seconds}s total</div>`));
}
async function health(){
try{const d=await (await fetch('/api/health')).json();
document.getElementById('status').textContent='JEV-CPU engine · model '+d.model+(d.loaded?' (loaded)':' (loads on first request)');
}catch(e){document.getElementById('status').textContent='Server unreachable';}
}
function clearCrits(){document.getElementById('crits').innerHTML='';}
// 원본 SemIf examples/decisions.jsonl 의 기준(question + options) 그대로.
const ORIGINAL_EXAMPLES={
state:"The deployment completed at 14:02 UTC. Health checks passed in all three zones. No rollback was initiated.",
criteria:[
['Is there evidence that the deployment succeeded?',
[['yes','The deployment succeeded.'],['no','The deployment did not succeed.'],
['insufficient','The evidence is insufficient to decide.']]],
['Which queue should handle this request?',
[['account_access','Account access and authentication support.'],
['billing','Billing and payment support.'],['sales','Sales and product evaluation.']]],
['Does the request require an approved change ticket under the stated policy?',
[['required','An approved change ticket is required.'],
['not_required','An approved change ticket is not required.'],
['insufficient','The evidence is insufficient to decide.']]],
]
};
function loadOriginalExamples(){
clearCrits();
document.getElementById('state').value=ORIGINAL_EXAMPLES.state;
ORIGINAL_EXAMPLES.criteria.forEach(([q,opts])=>addCrit(q,opts));
}
// seed (English default example)
addCrit("Classify the customer's sentiment",[['positive','Positive / satisfied'],['neutral','Neutral'],['negative','Negative / dissatisfied']]);
addCrit('Which team should handle this ticket?',[['billing','Billing / refunds'],['tech','Technical support'],['sales','Sales']]);
document.getElementById('state').value='Delivery was 3 days late and I was double charged. I need a refund. Really disappointed.';
health();
</script>
</body></html>"""
if __name__ == "__main__":
print(f"[server] JEV-CPU UI on http://0.0.0.0:{PORT} (Ctrl+C to stop)", flush=True)
get_engine() # 시작 시 미리 로드
ThreadingHTTPServer(("0.0.0.0", PORT), Handler).serve_forever()
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