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Update app.py
Browse files
app.py
CHANGED
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@@ -10,23 +10,22 @@ from filelock import FileLock
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from huggingface_hub import HfApi
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# ---------------- Config ----------------
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IMAGE_DIR
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# Label-Namen zentral definieren
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LABEL_LEFT = os.getenv("LABEL_A", "NON-BLAST") # oder "NORMAL"
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LABEL_RIGHT = os.getenv("LABEL_B", "BLAST")
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LABEL_UNCERTAIN = os.getenv("LABEL_UNCERTAIN", "UNCERTAIN")
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LABEL_TRASH = os.getenv("LABEL_TRASH", "LOW_QUALITY") # alternativ "TRASH"
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LABELS_CSV = os.getenv("LABELS_CSV", "labels.csv")
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SUPPORTED_EXTS = (".png", ".jpg", ".jpeg", ".bmp", ".gif", ".tif", ".tiff", ".webp")
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api = HfApi()
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st.set_page_config(page_title="Image Labeler", layout="centered")
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# --------------- Helpers ----------------
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def list_images():
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return p
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def write_label(image_path: str, label: str, annotator: str):
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os.makedirs(os.path.dirname(LABELS_CSV) or ".", exist_ok=True)
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record = {
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"image": rel_to_image_dir(image_path),
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@@ -60,26 +60,31 @@ def write_label(image_path: str, label: str, annotator: str):
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}
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with FileLock(LABELS_CSV + ".lock", timeout=10):
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exists = os.path.exists(LABELS_CSV)
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df.to_csv(LABELS_CSV, mode="a", header=not exists, index=False)
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#
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# --------------- UI ---------------------
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st.title("🏷️ Image Labeler")
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st.write(
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with st.sidebar:
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default_name = st.session_state.get("annotator", "")
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annotator = st.text_input("Your name*", value=default_name, placeholder="e.g., Dr. Smith")
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@@ -92,25 +97,18 @@ with st.sidebar:
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continue_by_name = st.toggle(
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"Only show images I haven't labeled yet",
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value=True,
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help="
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)
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# session state
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if "total" not in st.session_state:
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st.session_state.total = 0
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if "started" not in st.session_state:
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st.session_state.started = False
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# reset
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if reset_btn:
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st.session_state.started
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st.session_state.order = []
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st.session_state.idx = 0
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st.session_state.total = 0
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st.rerun()
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# start
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labels_df = read_labels()
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if continue_by_name and len(labels_df) > 0:
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# Nur als "erledigt" zählen: alles außer Skip
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already = set(
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labels_df.query("annotator == @annotator
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)
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rel_imgs = [rel_to_image_dir(p) for p in imgs]
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imgs = [p for p, r in zip(imgs, rel_imgs) if r not in already]
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if not imgs:
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st.warning("No images found (
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else:
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st.session_state.order
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st.session_state.idx = 0
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st.session_state.total = len(imgs)
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st.session_state.started = True
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# main panel
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if not st.session_state.started:
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else:
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current_image = st.session_state.order[idx]
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st.caption(f"{idx+1} / {total}")
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try:
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img = Image.open(current_image)
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if getattr(img, "n_frames", 1) > 1:
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except Exception as e:
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st.warning(f"Could not display image: {current_image}\n{e}")
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#
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st.rerun()
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with c2:
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if st.button("Skip", use_container_width=True):
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# Skip wird gespeichert, zählt aber NICHT als erledigt beim Continue-Filter
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write_label(current_image, "Skip", annotator.strip())
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st.session_state.idx += 1
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st.rerun()
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with c3:
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if st.button(f"{LABEL_RIGHT} ➡️", use_container_width=True):
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write_label(current_image, LABEL_RIGHT, annotator.strip())
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st.session_state.idx += 1
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st.rerun()
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with c4:
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if st.button(LABEL_UNCERTAIN, use_container_width=True):
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write_label(current_image, LABEL_UNCERTAIN, annotator.strip())
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st.session_state.idx += 1
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st.rerun()
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st.session_state.idx += 1
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st.rerun()
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st.divider()
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st.caption("Labels are saved to `labels.csv` and synced to this Space.")
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from huggingface_hub import HfApi
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# ---------------- Config ----------------
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IMAGE_DIR = os.getenv("IMAGE_DIR", "images")
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LABELS_CSV = os.getenv("LABELS_CSV", "labels.csv")
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SUPPORTED_EXTS = (".png", ".jpg", ".jpeg", ".bmp", ".gif", ".tif", ".tiff", ".webp")
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# Label names
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LABEL_NONBLAST = os.getenv("LABEL_NONBLAST", "NON-BLAST")
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LABEL_BLAST = os.getenv("LABEL_BLAST", "BLAST")
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LABEL_UNCERTAIN = os.getenv("LABEL_UNCERTAIN", "UNCERTAIN")
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LABEL_TRASH = os.getenv("LABEL_TRASH", "LOW_QUALITY")
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# (Optional) Hugging Face sync
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HF_TOKEN = os.getenv("HF_TOKEN") # set as a Secret in Space settings
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SPACE_ID = os.getenv("SPACE_ID", "MichaelDeutges/LabelingTest") # set to your Space id
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api = HfApi()
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st.set_page_config(page_title="Two-Button Image Labeler", layout="centered")
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# --------------- Helpers ----------------
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def list_images():
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return p
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def write_label(image_path: str, label: str, annotator: str):
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"""Append one row to labels.csv and (optionally) push to the Space repo."""
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os.makedirs(os.path.dirname(LABELS_CSV) or ".", exist_ok=True)
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record = {
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"image": rel_to_image_dir(image_path),
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}
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with FileLock(LABELS_CSV + ".lock", timeout=10):
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exists = os.path.exists(LABELS_CSV)
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pd.DataFrame([record]).to_csv(LABELS_CSV, mode="a", header=not exists, index=False)
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# best-effort sync to Hugging Face repo (safe to skip if no token/space id)
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if HF_TOKEN and SPACE_ID:
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try:
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api.upload_file(
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path_or_fileobj=LABELS_CSV,
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path_in_repo="labels.csv",
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repo_id=SPACE_ID,
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repo_type="space",
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token=HF_TOKEN
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)
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except Exception as e:
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print("Upload failed:", e)
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# --------------- UI ---------------------
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st.title("🏷️ Two-Button Image Labeler")
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st.write(
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"Enter your name, click **Start**, then classify each image. "
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"Use **UNCERTAIN** if you’re not sure. "
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"Use the 🗑️ icon for **LOW_QUALITY** images."
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)
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with st.sidebar:
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# remember last annotator
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default_name = st.session_state.get("annotator", "")
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annotator = st.text_input("Your name*", value=default_name, placeholder="e.g., Dr. Smith")
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continue_by_name = st.toggle(
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"Only show images I haven't labeled yet",
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value=True,
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help="Continue where you left off, based on your name in labels.csv",
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)
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# session state
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st.session_state.setdefault("order", [])
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st.session_state.setdefault("idx", 0)
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st.session_state.setdefault("total", 0)
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st.session_state.setdefault("started", False)
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# reset
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if reset_btn:
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st.session_state.update({"started": False, "order": [], "idx": 0, "total": 0})
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st.rerun()
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# start
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labels_df = read_labels()
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if continue_by_name and len(labels_df) > 0:
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already = set(
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labels_df.query("annotator == @annotator")["image"].astype(str).tolist()
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)
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rel_imgs = [rel_to_image_dir(p) for p in imgs]
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imgs = [p for p, r in zip(imgs, rel_imgs) if r not in already]
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if not imgs:
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st.warning("No images found (or all labeled). Upload to the `images/` folder.")
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else:
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st.session_state.update({"order": imgs, "idx": 0, "total": len(imgs), "started": True})
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# main panel
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if not st.session_state.started:
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else:
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current_image = st.session_state.order[idx]
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st.caption(f"{idx+1} / {total}")
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# top-right trash
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spacer, trash_col = st.columns([9, 1])
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with trash_col:
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if st.button("🗑️", help=f"Mark as {LABEL_TRASH}", use_container_width=True):
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write_label(current_image, LABEL_TRASH, annotator.strip())
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st.session_state.idx += 1
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st.rerun()
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# image
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try:
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img = Image.open(current_image)
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if getattr(img, "n_frames", 1) > 1:
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except Exception as e:
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st.warning(f"Could not display image: {current_image}\n{e}")
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# main classification row: NON-BLAST | UNCERTAIN | BLAST
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c_left, c_mid, c_right = st.columns([1, 1, 1])
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with c_left:
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if st.button(f"⬅️ {LABEL_NONBLAST}", use_container_width=True):
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write_label(current_image, LABEL_NONBLAST, annotator.strip())
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st.session_state.idx += 1
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st.rerun()
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with c_mid:
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if st.button(f"❓ {LABEL_UNCERTAIN}", use_container_width=True):
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write_label(current_image, LABEL_UNCERTAIN, annotator.strip())
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st.session_state.idx += 1
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st.rerun()
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with c_right:
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if st.button(f"{LABEL_BLAST} ➡️", use_container_width=True):
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write_label(current_image, LABEL_BLAST, annotator.strip())
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st.session_state.idx += 1
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st.rerun()
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st.divider()
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st.caption("Labels are saved to `labels.csv` (and synced to this Space if HF_TOKEN is set).")
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