Spaces:
Sleeping
Sleeping
Commit
·
ff75b10
1
Parent(s):
1b04ad0
Initial commit
Browse files
app.py
CHANGED
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@@ -11,14 +11,17 @@ from datetime import datetime
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from filelock import FileLock
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from huggingface_hub import HfApi, hf_hub_download
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DATASET_REPO_ID = os.environ.get("DATASET_REPO_ID", "
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HF_TOKEN = os.environ.get("HF_TOKEN")
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MAX_IMAGES = 6
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THUMB_SIZE = (350, 350)
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@@ -26,40 +29,41 @@ ROOM_CLASSES = ["living_room", "bedroom", "kitchen", "bathroom", "dining_room",
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def sync_pull():
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if not HF_TOKEN:
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print("⚠️ HF_TOKEN not set.
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return
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-
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for filename in [
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try:
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print(f"📥 Pulling {filename} from Hub...")
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hf_hub_download(
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repo_id=DATASET_REPO_ID,
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filename=filename,
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repo_type="dataset",
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local_dir=
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token=HF_TOKEN
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)
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except Exception:
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print(f"ℹ️ {filename} not found on Hub.
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def sync_push_background(
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if not HF_TOKEN: return
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def _push():
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try:
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api = HfApi(token=HF_TOKEN)
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api.upload_file(
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path_or_fileobj=
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path_in_repo=
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repo_id=DATASET_REPO_ID,
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repo_type="dataset",
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commit_message=f"Update {
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)
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print(f"☁️
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except Exception as e:
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print(f"❌
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thread = threading.Thread(target=_push)
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thread.start()
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@@ -75,7 +79,7 @@ def init_files():
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pd.DataFrame(columns=cols).to_csv(f, index=False)
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if not os.path.exists(URL_FILE):
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-
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init_files()
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@@ -264,7 +268,8 @@ def save_data(mode, history, urls, *args):
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with open(fname, "a", newline="") as f:
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csv.writer(f).writerows(rows)
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return render_workspace(mode, history)
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@@ -274,7 +279,7 @@ def skip_group(idx, history, mode):
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with FileLock(LOCK_FILE):
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with open(SKIP_FILE, "a", newline="") as f:
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csv.writer(f).writerow([datetime.now().isoformat(), "user", gid])
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sync_push_background(SKIP_FILE)
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return render_workspace(mode, history, specific_index=idx + 1)
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from filelock import FileLock
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from huggingface_hub import HfApi, hf_hub_download
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DATASET_REPO_ID = os.environ.get("DATASET_REPO_ID", "fast-stager/property-labels")
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HF_TOKEN = os.environ.get("HF_TOKEN")
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CACHE_DIR = "/tmp"
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URL_FILE = "urls.txt"
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LABEL_FILE = os.path.join(CACHE_DIR, "annotations.csv")
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VERIFY_FILE = os.path.join(CACHE_DIR, "verifications.csv")
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SKIP_FILE = os.path.join(CACHE_DIR, "skipped.csv")
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LOCK_FILE = os.path.join(CACHE_DIR, "data.lock")
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MAX_IMAGES = 6
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THUMB_SIZE = (350, 350)
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def sync_pull():
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if not HF_TOKEN:
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print("⚠️ HF_TOKEN not set. Persistence disabled.")
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return
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print(f"🔄 Syncing from {DATASET_REPO_ID}...")
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for filename in ["annotations.csv", "verifications.csv", "skipped.csv"]:
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target_path = os.path.join(CACHE_DIR, filename)
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try:
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hf_hub_download(
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repo_id=DATASET_REPO_ID,
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filename=filename,
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repo_type="dataset",
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local_dir=CACHE_DIR,
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token=HF_TOKEN
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)
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print(f"✅ Loaded {filename}")
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except Exception:
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print(f"ℹ️ {filename} not found on Hub. Creating empty.")
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def sync_push_background(local_path, remote_filename):
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if not HF_TOKEN: return
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def _push():
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try:
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api = HfApi(token=HF_TOKEN)
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api.upload_file(
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path_or_fileobj=local_path,
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path_in_repo=remote_filename,
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repo_id=DATASET_REPO_ID,
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repo_type="dataset",
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commit_message=f"Update {remote_filename}"
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)
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print(f"☁️ Synced {remote_filename}")
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except Exception as e:
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print(f"❌ Sync failed: {e}")
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thread = threading.Thread(target=_push)
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thread.start()
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pd.DataFrame(columns=cols).to_csv(f, index=False)
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if not os.path.exists(URL_FILE):
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print("⚠️ urls.txt not found in root directory! Please upload it to your Space.")
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init_files()
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with open(fname, "a", newline="") as f:
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csv.writer(f).writerows(rows)
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remote_filename = os.path.basename(fname)
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sync_push_background(fname, remote_filename)
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return render_workspace(mode, history)
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with FileLock(LOCK_FILE):
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with open(SKIP_FILE, "a", newline="") as f:
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csv.writer(f).writerow([datetime.now().isoformat(), "user", gid])
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sync_push_background(SKIP_FILE, "skipped.csv")
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return render_workspace(mode, history, specific_index=idx + 1)
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