deps: drop gradio from requirements (let SDK manage), CPU torch, transformers>=4.53; add startup prints

app.py

@@ -3,13 +3,16 @@ DINO Hierarchies — upload an image, get its condensed tree (hover) + reveal an
 Runs DINOv3 ViT-L/16, builds the same condensed tree we precomputed for the static site,
 and injects it into the existing JS widgets (no server-side rendering of the video).
 """
-import os, io, json, html, base64
+import os, io, json, html, base64, sys
+print("[app] starting import", flush=True)
 import numpy as np, torch
 try:
     import gradio as gr
+    print("[app] gradio", gr.__version__, flush=True)
 except ImportError:
     gr = None          # allows importing the pipeline without gradio (local testing)
 from PIL import Image
+print("[app] transformers import...", flush=True)
 from scipy.cluster.hierarchy import linkage, to_tree
 from scipy.spatial.distance import squareform
 from transformers import AutoModel
@@ -117,4 +120,5 @@ if gr is not None:
         btn.click(process, inp, [out_tree, out_rev])
         inp.upload(process, inp, [out_tree, out_rev])
 
+    print("[app] launching gradio", flush=True)
     demo.queue().launch()   # module-level: HF Spaces imports this file, so no __main__ guard

requirements.txt

@@ -1,6 +1,6 @@
+--extra-index-url https://download.pytorch.org/whl/cpu
 torch
-transformers>=4.44
+transformers>=4.53
 scipy
 pillow
 numpy
-gradio>=4.44