Update app.py

app.py

@@ -3,6 +3,179 @@ import glob
 from pathlib import Path
 from datetime import datetime, timezone
 
+import streamlit as st
+import pandas as pd
+from PIL import Image
+from filelock import FileLock
+from huggingface_hub import HfApi
+
+# -------------------------------------------------------------------
+# Sichtbare/verlässliche Pfade: alles IM Repo-Ordner (/home/user/app)
+# -------------------------------------------------------------------
+BASE_DIR = Path(__file__).parent.resolve()
+IMAGE_DIR = Path(os.getenv("IMAGE_DIR", str(BASE_DIR / "images")))
+LABELS_CSV = Path(os.getenv("LABELS_CSV", str(BASE_DIR / "labels.csv")))
+
+LABEL_LEFT = os.getenv("LABEL_A", "Class A")
+LABEL_RIGHT = os.getenv("LABEL_B", "Class B")
+SHOW_ALREADY_LABELED = os.getenv("SHOW_ALREADY_LABELED", "0") == "1"
+SUPPORTED_EXTS = (".png", ".jpg", ".jpeg", ".bmp", ".gif", ".tif", ".tiff", ".webp")
+
+# Repo-ID für Uploads (nimmt SPACE_ID, sonst Fallback auf festen Namen)
+REPO_ID = os.environ.get("SPACE_ID", "MichaelDeutges/LabelingTest")
+
+st.set_page_config(page_title="Two-Button Image Labeler", layout="centered")
+
+# labels.csv anlegen (Header), damit sie sofort im Files-Tab auftaucht
+if not LABELS_CSV.exists():
+    LABELS_CSV.write_text("image,label,annotator,timestamp\n", encoding="utf-8")
+
+# ----------------------- Helpers -----------------------------------
+def list_images():
+    if not IMAGE_DIR.exists():
+        return []
+    paths = []
+    for p in glob.glob(str(IMAGE_DIR / "**" / "*"), recursive=True):
+        if p.lower().endswith(SUPPORTED_EXTS):
+            paths.append(p)
+    return sorted(paths)
+
+def read_labels():
+    try:
+        return pd.read_csv(LABELS_CSV) if LABELS_CSV.exists() else pd.DataFrame(
+            columns=["image", "label", "annotator", "timestamp"]
+        )
+    except Exception:
+        return pd.DataFrame(columns=["image", "label", "annotator", "timestamp"])
+
+def rel_to_image_dir(p: str):
+    try:
+        return str(Path(p).resolve().relative_to(IMAGE_DIR.resolve()))
+    except Exception:
+        return p
+
+def push_labels_to_repo():
+    """Lädt labels.csv in das Space-Repo hoch (erscheint im Files-Tab)."""
+    token = os.environ.get("HF_TOKEN")
+    if not token:
+        # kein Token gesetzt -> still und gut (App läuft trotzdem)
+        return
+    try:
+        api = HfApi()
+        api.upload_file(
+            path_or_fileobj=str(LABELS_CSV),
+            path_in_repo="labels.csv",
+            repo_id=REPO_ID,
+            repo_type="space",
+            commit_message="Update labels.csv",
+            token=token,
+        )
+    except Exception as e:
+        print("push_labels_to_repo error:", e)
+
+def write_label(image_path: str, label: str, annotator: str):
+    LABELS_CSV.parent.mkdir(parents=True, exist_ok=True)
+    record = {
+        "image": rel_to_image_dir(image_path),
+        "label": label,
+        "annotator": annotator,
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+    }
+    with FileLock(str(LABELS_CSV) + ".lock", timeout=10):
+        exists = LABELS_CSV.exists()
+        df = pd.DataFrame([record])
+        df.to_csv(LABELS_CSV, mode="a", header=not exists, index=False)
+    # nach jedem Klick committen
+    push_labels_to_repo()
+
+# ----------------------- UI ----------------------------------------
+st.title("🏷️ Two-Button Image Labeler")
+st.write(
+    "Enter your name, click **Start**, then label each image using the big buttons. "
+    "Use **Skip** to bypass an image."
+)
+
+with st.sidebar:
+    annotator = st.text_input("Your name*", value="")
+    start = st.button("Start", type="primary")
+
+# session state
+if "order" not in st.session_state:
+    st.session_state.order = []
+if "idx" not in st.session_state:
+    st.session_state.idx = 0
+if "total" not in st.session_state:
+    st.session_state.total = 0
+if "started" not in st.session_state:
+    st.session_state.started = False
+
+# start logic
+if start:
+    if not annotator.strip():
+        st.sidebar.error("Please enter your name.")
+    else:
+        imgs = list_images()
+        labels_df = read_labels()
+        if not SHOW_ALREADY_LABELED and len(labels_df) > 0:
+            labeled = set(labels_df["image"].astype(str).tolist())
+            rel_imgs = [rel_to_image_dir(p) for p in imgs]
+            imgs = [p for p, r in zip(imgs, rel_imgs) if r not in labeled]
+
+        if not imgs:
+            st.warning("No images found (or all labeled). Upload PNG/JPG/etc. to the `images/` folder.")
+        else:
+            st.session_state.order = imgs            # deterministische Reihenfolge
+            st.session_state.idx = 0
+            st.session_state.total = len(imgs)
+            st.session_state.started = True
+
+# main area
+if not st.session_state.started:
+    st.info("Fill your name on the left and press **Start**.")
+else:
+    idx = st.session_state.idx
+    total = st.session_state.total
+    if idx >= total:
+        st.success("All done 🎉 Thank you!")
+    else:
+        current_image = st.session_state.order[idx]
+        st.caption(f"{idx} / {total}")
+        try:
+            img = Image.open(current_image)
+            if getattr(img, "n_frames", 1) > 1:  # multipage TIFF → erste Seite
+                img.seek(0)
+            if img.mode not in ("RGB", "RGBA"):
+                img = img.convert("RGB")
+            st.image(img, use_column_width=True)
+        except Exception as e:
+            st.warning(f"Could not display image: {current_image}\n{e}")
+
+        col1, col2, col3 = st.columns([1, 1, 1])
+        with col1:
+            if st.button(f"⬅️ {LABEL_LEFT}", use_container_width=True):
+                write_label(current_image, LABEL_LEFT, annotator.strip())
+                st.session_state.idx += 1
+                st.rerun()
+        with col2:
+            if st.button("Skip", use_container_width=True):
+                write_label(current_image, "Skip", annotator.strip())
+                st.session_state.idx += 1
+                st.rerun()
+        with col3:
+            if st.button(f"{LABEL_RIGHT} ➡️", use_container_width=True):
+                write_label(current_image, LABEL_RIGHT, annotator.strip())
+                st.session_state.idx += 1
+                st.rerun()
+
+st.divider()
+st.caption("Labels are saved & committed as `labels.csv` to this Space (see the Files tab).")
+
+'''
+import os
+import glob
+from pathlib import Path
+from datetime import datetime, timezone
+
 import streamlit as st
 import pandas as pd
 from PIL import Image
@@ -181,3 +354,4 @@ else:
 # Footer / admin
 st.divider()
 st.caption("Labels are saved to `labels.csv` in this Space. You can download it from the Files tab.")
+'''