Deploy CellQuant

.gitattributes

@@ -1 +1,8 @@
 *.pt filter=lfs diff=lfs merge=lfs -text
+# The Hub stores binary files (images included) as LFS objects; without a filter line the
+# Space checkout keeps the 131-byte pointer and the app cannot read the example image.
+*.png filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.tif filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text

scripts/deploy_hf.py

@@ -5,7 +5,9 @@
 
 Uses the token from `hf auth login` (or HF_TOKEN). Large files (the .pt checkpoint)
 are uploaded through LFS automatically. Then polls the Space runtime and, once it is
-RUNNING, calls its API with the bundled example image to prove it works.
+RUNNING, checks that the Space serves the bundled example image as a real PNG (the Hub
+stores binary files as LFS objects, and a checkout only resolves them for extensions
+listed in .gitattributes) and calls the API with it to prove the model works.
 """
 from __future__ import annotations
 
@@ -60,12 +62,20 @@ def main(argv=None):
         time.sleep(15)
     else:
         raise SystemExit("timed out waiting for the Space")
-    # smoke test through the Gradio API
+    # the example image as the Space itself serves it must be a PNG, not an LFS pointer
+    import requests
+    host = api.space_info(repo).host or f"https://{repo.replace('/', '-')}.hf.space"
+    served = f"{host.rstrip('/')}/gradio_api/file=/home/user/app/examples/F100_crop_512.png"
+    r = requests.get(served, timeout=60)
+    if r.status_code != 200 or not r.content.startswith(b"\x89PNG"):
+        raise SystemExit(f"Space serves {served} as {r.status_code} / {len(r.content)} bytes starting {r.content[:40]!r}: "
+                         "not a PNG (unresolved LFS pointer? check .gitattributes)")
+    print(f"served example ok: {len(r.content)} bytes")
+    # smoke test through the Gradio API with that served copy
     from gradio_client import Client, handle_file
     client = Client(repo, hf_token=get_token())
-    ex = os.path.join(ROOT, "examples", "F100_crop_512.png")
     t = time.time()
-    out = client.predict([handle_file(ex)], "none (fastest)", 0.5, 0.5, 50, "head", "contains", False, api_name="/analyze_files")
+    out = client.predict([handle_file(served)], "none (fastest)", 0.5, 0.5, 50, "head", "contains", False, api_name="/analyze_files")
     print(f"API call ok in {time.time()-t:.1f}s; counts row: {out[0]['data'][0] if isinstance(out[0], dict) else out[0]}")