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requirements.txt +COPY . . +CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"] diff --git a/README.md b/README.md index 392d526a50fef12c3e3cabc69cff3662a60286e0..c1557bc59db46c8f551503cc0e615531e9c46547 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,10 @@ --- title: Image Preference Study -emoji: 💻 -colorFrom: purple -colorTo: green +emoji: 🖼️ +colorFrom: blue +colorTo: indigo sdk: docker +app_port: 7860 pinned: false --- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference +A short 2-alternative forced-choice image preference study. diff --git a/app/main.py b/app/main.py new file mode 100644 index 0000000000000000000000000000000000000000..d63f2811ecf12c40222f9990afbea453018a7be7 --- /dev/null +++ b/app/main.py @@ -0,0 +1,187 @@ +#!/usr/bin/env python +"""Human-preference study (2AFC pairwise) — SD3.5-Medium ImageReward-guided vs vanilla, 4 styles. +Accepted T2I protocol (Imagen/Parti/Emu/Diffusion-DPO): two questions/pair (overall preference + prompt +alignment), tie option, neutral labels, left/right randomized, gold catch trials, email-gated (one +submission/person). SQLite backend, JSON API + single-page UI. + +Run: ./env/bin/python -m uvicorn human_study.app.main:app --host 0.0.0.0 --port 8000 +DB: human_study/data/study.db Manifest: human_study/data/pairs.json +Admin: GET /api/stats?key=$STUDY_ADMIN_KEY GET /api/export?key=... (CSV) +""" +import json, os, sqlite3, time, uuid, random, csv, io, shutil +from pathlib import Path +from fastapi import FastAPI, Request, HTTPException +from fastapi.responses import HTMLResponse, PlainTextResponse +from fastapi.staticfiles import StaticFiles + +HERE = Path(__file__).resolve().parent +# STUDY_DATA (pairs.json + study.db) and STUDY_STATIC (index.html + imgs/) are env-overridable so the same +# app code can host multiple independent studies (e.g. the 4-style study and a photo-only study). +DATA = Path(os.environ.get("STUDY_DATA", str(HERE.parent / "data"))) +STATIC = Path(os.environ.get("STUDY_STATIC", str(HERE / "static"))) +DB = DATA / "study.db" +PAIRS = {p["pair_id"]: p for p in json.load(open(DATA / "pairs.json"))} +ADMIN_KEY = os.environ.get("STUDY_ADMIN_KEY", "rsfg-admin") + +# Durable storage on Hugging Face Spaces (ephemeral disk): restore the response DB from a private Dataset on +# startup, back it up after every submission. No-op when the env vars are unset (e.g. local runs). +PERSIST_REPO = os.environ.get("HF_PERSIST_REPO") # e.g. "bs82/image-study-db" +STUDY_NAME = os.environ.get("STUDY_NAME", "study") # subfolder in the Dataset (one per study) +HF_TOKEN = os.environ.get("HF_TOKEN") +_DB_IN_REPO = f"{STUDY_NAME}/study.db" + +def restore_db(): + if not (PERSIST_REPO and HF_TOKEN): + return + try: + from huggingface_hub import hf_hub_download + p = hf_hub_download(PERSIST_REPO, _DB_IN_REPO, repo_type="dataset", token=HF_TOKEN) + shutil.copy(p, DB) + print(f"[persist] restored DB from {PERSIST_REPO}:{_DB_IN_REPO}") + except Exception as e: + print(f"[persist] no prior DB ({e}); starting fresh") + +def backup_db(): + if not (PERSIST_REPO and HF_TOKEN): + return + try: + from huggingface_hub import HfApi + HfApi(token=HF_TOKEN).upload_file(path_or_fileobj=str(DB), path_in_repo=_DB_IN_REPO, + repo_id=PERSIST_REPO, repo_type="dataset", + commit_message=f"backup {STUDY_NAME}") + except Exception as e: + print(f"[persist] backup failed: {e}") + +def db(): + c = sqlite3.connect(DB); c.row_factory = sqlite3.Row; return c + +def init_db(): + DATA.mkdir(parents=True, exist_ok=True) + with db() as c: + c.execute("""CREATE TABLE IF NOT EXISTS participants( + token TEXT PRIMARY KEY, email TEXT UNIQUE, created REAL, completed INTEGER DEFAULT 0, + n_catch INTEGER DEFAULT 0, n_catch_pass INTEGER DEFAULT 0, record INTEGER DEFAULT 1)""") + c.execute("""CREATE TABLE IF NOT EXISTS votes( + token TEXT, email TEXT, pair_id INTEGER, kind TEXT, style TEXT, question TEXT, + choice TEXT, guided_chosen INTEGER, ts REAL)""") # guided_chosen: 1 guided, 0 vanilla, NULL tie +restore_db() +init_db() + +app = FastAPI(title="Image preference study") +app.mount("/static", StaticFiles(directory=str(STATIC)), name="static") + +@app.get("/", response_class=HTMLResponse) +def index(): + return (STATIC / "index.html").read_text() + +@app.get("/api/info") +def info(): + n = len(PAIRS) + return {"n_pairs": n, "est_minutes": max(1, round(n * 3.5 / 60))} + +def norm_email(e): + e = (e or "").strip().lower() + if "@" not in e or "." not in e.split("@")[-1] or len(e) < 5: + raise HTTPException(400, "Please enter a valid email address.") + return e + +@app.post("/api/register") +async def register(req: Request): + body = await req.json() + email = norm_email(body.get("email")) + record = 0 if body.get("record") is False else 1 # opt-out checkbox; default = record + with db() as c: + row = c.execute("SELECT token, completed FROM participants WHERE email=?", (email,)).fetchone() + if row and row["completed"]: + raise HTTPException(409, "This email has already completed the study. Thank you!") + token = row["token"] if row else uuid.uuid4().hex + if not row: + c.execute("INSERT INTO participants(token,email,created,record) VALUES(?,?,?,?)", + (token, email, time.time(), record)) + else: + c.execute("UPDATE participants SET record=? WHERE token=?", (record, token)) + order = list(PAIRS.values()) + random.Random(hash(token) & 0xffffffff).shuffle(order) + pairs = [{"pair_id": p["pair_id"], "prompt": p["prompt"], + "left": f"/static/imgs/{p['left']}", "right": f"/static/imgs/{p['right']}"} for p in order] + return {"token": token, "pairs": pairs} + +def _summarize(votes): + """Per-participant own results (thank-you page): one-click guided-preference counts overall + per style.""" + overall = [0, 0]; by_style = {} + for v in votes: + p = PAIRS.get(int(v.get("pair_id", -1))) + ch = v.get("choice") + if not p or p["kind"] != "real" or ch not in ("left", "right"): + continue + gw = int(ch == p["guided_side"]) + overall[0] += gw; overall[1] += 1 + s = by_style.setdefault(p["style"], [0, 0]); s[0] += gw; s[1] += 1 + return {"pref": {"guided": overall[0], "n": overall[1], + "rate": (overall[0] / overall[1]) if overall[1] else None, + "by_style": {k: {"guided": x[0], "n": x[1], "rate": (x[0] / x[1]) if x[1] else None} + for k, x in by_style.items()}}} + +@app.post("/api/submit") +async def submit(req: Request): + body = await req.json() + token, votes = body.get("token", ""), body.get("votes", []) + with db() as c: + row = c.execute("SELECT email, completed, record FROM participants WHERE token=?", (token,)).fetchone() + if not row: + raise HTTPException(404, "Unknown session.") + if row["completed"]: + raise HTTPException(409, "Already submitted.") + email, record = row["email"], row["record"] + n_catch = n_pass = 0 + for v in votes: + p = PAIRS.get(int(v.get("pair_id", -1))) + ch = v.get("choice") + if not p or ch not in ("left", "right"): + continue + if p["kind"] == "catch": + gc = int(ch == p["correct_side"]); n_catch += 1; n_pass += gc + else: + gc = int(ch == p["guided_side"]) + if record: # opt-out: skip persisting votes (results still shown to the participant) + c.execute("INSERT INTO votes VALUES(?,?,?,?,?,?,?,?,?)", + (token, email, p["pair_id"], p["kind"], p["style"], "pref", ch, gc, time.time())) + c.execute("UPDATE participants SET completed=1, n_catch=?, n_catch_pass=? WHERE token=?", + (n_catch, n_pass, token)) + backup_db() + return {"ok": True, "recorded": bool(record), "results": _summarize(votes)} + +@app.get("/api/stats") +def stats(key: str = ""): + if key != ADMIN_KEY: + raise HTTPException(403, "bad key") + with db() as c: + np_ = c.execute("SELECT COUNT(*) n FROM participants WHERE completed=1").fetchone()["n"] + # attentive = passed all catch preference trials + attn = "token IN (SELECT token FROM participants WHERE completed=1 AND n_catch_pass=n_catch AND n_catch>0)" + out = {"completed_participants": np_, "by_question": {}} + for q in ("pref", "align"): + rows = c.execute(f"""SELECT style, COUNT(*) n, SUM(guided_chosen) g, + SUM(CASE WHEN guided_chosen IS NULL THEN 1 ELSE 0 END) ties + FROM votes WHERE kind='real' AND question=? AND token IN + (SELECT token FROM participants WHERE completed=1) GROUP BY style""", (q,)).fetchall() + tot = c.execute(f"""SELECT COUNT(*) n, SUM(guided_chosen) g FROM votes + WHERE kind='real' AND question=? AND guided_chosen IS NOT NULL + AND token IN (SELECT token FROM participants WHERE completed=1)""", (q,)).fetchone() + out["by_question"][q] = { + "overall_n_nontie": tot["n"], "overall_guided_wins": tot["g"], + "overall_guided_winrate": (tot["g"]/tot["n"]) if tot["n"] else None, + "by_style": {r["style"]: {"n": r["n"], "guided": r["g"], "ties": r["ties"]} for r in rows}} + return out + +@app.get("/api/export") +def export(key: str = ""): + if key != ADMIN_KEY: + raise HTTPException(403, "bad key") + buf = io.StringIO(); w = csv.writer(buf) + w.writerow(["email", "pair_id", "kind", "style", "question", "choice", "guided_chosen", "ts"]) + with db() as c: + for r in c.execute("SELECT email,pair_id,kind,style,question,choice,guided_chosen,ts FROM votes ORDER BY ts"): + w.writerow([r["email"], r["pair_id"], r["kind"], r["style"], r["question"], r["choice"], + "" if r["guided_chosen"] is None else r["guided_chosen"], r["ts"]]) + return PlainTextResponse(buf.getvalue(), 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sha256:607b8291ac1a55c3f71beb1e2d1b497b2bd995f63bef28b684693436c664bf48 +size 589245 diff --git a/app/static/imgs/0079_L.png b/app/static/imgs/0079_L.png new file mode 100644 index 0000000000000000000000000000000000000000..232a06a027c9d35e639e69a28d198e2c647cce60 --- /dev/null +++ b/app/static/imgs/0079_L.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:162bf2cb8d01985a26a8484f9cdc4d233fc65bc71bc1469314e8e31ff4132871 +size 537067 diff --git a/app/static/imgs/0079_R.png b/app/static/imgs/0079_R.png new file mode 100644 index 0000000000000000000000000000000000000000..f5c51e06c23ac592932ea790f3fd3b34bdbf5992 --- /dev/null +++ b/app/static/imgs/0079_R.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:79195460f2cc904511cc76d7e3f4b6e6a851b472259d9395b2dcdf3ffada87b5 +size 463922 diff --git a/app/static/index.html b/app/static/index.html new file mode 100644 index 0000000000000000000000000000000000000000..1418cfb701f17a3471a57112027a7d852a861e67 --- /dev/null +++ b/app/static/index.html @@ -0,0 +1,131 @@ + + + + + +Image preference study + + + +
+

Image preference study

+ +
+

Thank you for helping! You'll see pairs of AI-generated images made from the same text prompt. + For each pair, just click the image you prefer (better overall — more appealing and faithful to the prompt).

+

About … quick clicks, ~… min. Your email is only used so each person answers once; it is not shared or published.

+

+

+

+
+
+ +
+
1 / 0
+
+
“”
+

Click the image you prefer.

+
+
IMAGE 1
+
IMAGE 2
+
+
+ +
+

All done — thank you! 🎉

+

+
+

You may close this tab.

+
+
+ + + + diff --git a/data/pairs.json b/data/pairs.json new file mode 100644 index 0000000000000000000000000000000000000000..f85640c3e78d3101cff98507e8a602a7ec2a0c3c --- /dev/null +++ b/data/pairs.json @@ -0,0 +1,802 @@ +[ + { + "pair_id": 0, + "kind": "real", + "style": "photo", + "idx": 784, + "prompt": "A man sitting at a table in front of bowls of spices.", + "left": "0000_L.png", + "right": "0000_R.png", + "guided_side": "left" + }, + { + "pair_id": 1, + "kind": "real", + "style": "photo", + "idx": 436, + "prompt": "two cars parked side by side on a show room floor", + "left": "0001_L.png", + "right": "0001_R.png", + "guided_side": "right" + }, + { + "pair_id": 2, + "kind": "real", + "style": "photo", + "idx": 393, + "prompt": "A young girl walking barefoot carries a stuffed animal.", + "left": "0002_L.png", + "right": "0002_R.png", + "guided_side": "left" + }, + { + "pair_id": 3, + "kind": "real", + "style": "photo", + "idx": 380, + "prompt": "A small clock is seen on the side of a church.", + "left": "0003_L.png", + "right": "0003_R.png", + "guided_side": "right" + }, + { + "pair_id": 4, + "kind": "real", + "style": "photo", + "idx": 258, + "prompt": "i table filled with cups and a plate of food.", + "left": "0004_L.png", + "right": "0004_R.png", + "guided_side": "left" + }, + { + "pair_id": 5, + "kind": "real", + "style": "photo", + "idx": 462, + "prompt": "A airplane sitting on a runway at a small airport.", + "left": "0005_L.png", + "right": "0005_R.png", + "guided_side": "left" + }, + { + "pair_id": 6, + "kind": "real", + "style": "photo", + "idx": 23, + "prompt": "a cat laying on the floor of a kitchen", + "left": "0006_L.png", + "right": "0006_R.png", + "guided_side": "left" + }, + { + "pair_id": 7, + "kind": "real", + "style": "photo", + "idx": 242, + "prompt": "A white sink sitting under a mirror next to a toilet.", + "left": "0007_L.png", + "right": "0007_R.png", + "guided_side": "right" + }, + { + "pair_id": 8, + "kind": "real", + "style": "photo", + "idx": 415, + "prompt": "Two people standing next to each other in a kitchen.", + "left": "0008_L.png", + "right": "0008_R.png", + "guided_side": "left" + }, + { + "pair_id": 9, + "kind": "real", + "style": "photo", + "idx": 78, + "prompt": "The blue shower curtains are inside of the bathtub next to the toilet. ", + "left": "0009_L.png", + "right": "0009_R.png", + "guided_side": "right" + }, + { + "pair_id": 10, + "kind": "real", + "style": "photo", + "idx": 573, + "prompt": "a group of people with bikes posing for a photo ", + "left": "0010_L.png", + "right": "0010_R.png", + "guided_side": "right" + }, + { + "pair_id": 11, + "kind": "real", + "style": "photo", + "idx": 698, + "prompt": "A toy elephant sits in a toy wooden car.", + "left": "0011_L.png", + "right": "0011_R.png", + "guided_side": "right" + }, + { + "pair_id": 12, + "kind": "real", + "style": "photo", + "idx": 344, + "prompt": "this is a group of people standing near a river\n", + "left": "0012_L.png", + "right": "0012_R.png", + "guided_side": "left" + }, + { + "pair_id": 13, + "kind": "real", + "style": "photo", + "idx": 516, + "prompt": "a bunch of different electronics all on one big pile. ", + "left": "0013_L.png", + "right": "0013_R.png", + "guided_side": "right" + }, + { + "pair_id": 14, + "kind": "real", + "style": "photo", + "idx": 480, + "prompt": "A bathroom with outdated fixtures and a clothes hamper in the middle of the floor.", + "left": "0014_L.png", + "right": "0014_R.png", + "guided_side": "left" + }, + { + "pair_id": 15, + "kind": "real", + "style": "photo", + "idx": 412, + "prompt": "A sad woman laying on a mattress on a hardwood floor.", + "left": "0015_L.png", + "right": "0015_R.png", + "guided_side": "left" + }, + { + "pair_id": 16, + "kind": "real", + "style": "photo", + "idx": 110, + "prompt": "a tiled bathroom with a toilet and scale in it ", + "left": "0016_L.png", + "right": "0016_R.png", + "guided_side": "left" + }, + { + "pair_id": 17, + "kind": "real", + "style": "photo", + "idx": 362, + "prompt": "Two people riding a motorcycle near a group of people.", + "left": "0017_L.png", + "right": "0017_R.png", + "guided_side": "left" + }, + { + "pair_id": 18, + "kind": "real", + "style": "photo", + "idx": 739, + "prompt": "A bunch of airplanes are parked on the runway. ", + "left": "0018_L.png", + "right": "0018_R.png", + "guided_side": "left" + }, + { + "pair_id": 19, + "kind": "real", + "style": "photo", + "idx": 263, + "prompt": "Two people ride motorcycles down a city street.", + "left": "0019_L.png", + "right": "0019_R.png", + "guided_side": "right" + }, + { + "pair_id": 20, + "kind": "real", + "style": "anime", + "idx": 312, + "prompt": "An egirl with pink hair and extensive makeup.", + "left": "0020_L.png", + "right": "0020_R.png", + "guided_side": "right" + }, + { + "pair_id": 21, + "kind": "real", + "style": "anime", + "idx": 76, + "prompt": "A tiger wearing a train conductor's hat and holding a skateboard decorated with a yin-yang symbol.", + "left": "0021_L.png", + "right": "0021_R.png", + "guided_side": "right" + }, + { + "pair_id": 22, + "kind": "real", + "style": "anime", + "idx": 303, + "prompt": "A child squeezing a party ball.", + "left": "0022_L.png", + "right": "0022_R.png", + "guided_side": "right" + }, + { + "pair_id": 23, + 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