Update requirements.txt

requirements.txt

@@ -1,4 +1,32 @@
-gradio
-torch
-torchvision
-timm
+# ──────────────────────────────────────────────────────────────────────────────
+#  VERIDEX — Worker Space  requirements.txt
+#
+#  PINNING RULES FOR HF SPACES
+#  ────────────────────────────
+#  1. NEVER pin gradio — HF force-installs gradio==6.x in [base 6/7].
+#     Any pin causes a ResolutionImpossible error → exit code 1.
+#
+#  2. NEVER hard-pin torch/torchvision to a specific patch version.
+#     The HF base image ships a pre-built torch; an exact pin that doesn't
+#     match the available wheel causes "No matching distribution found".
+#     Use a floor (>=) so pip can pick the pre-installed wheel.
+#
+#  3. NEVER pin timm to 0.9.x — timm 1.x removed the direct
+#     timm.models.efficientnet.tf_efficientnet_b7_ns import path.
+#     Our app.py already has a try/except fallback, but a hard pin
+#     to 0.9.x will conflict with timm 1.x that Gradio 6 may pull in.
+#     Use a floor instead; the fallback import handles both versions.
+#
+#  4. numpy: Gradio 6 requires numpy>=1.0,<3.0. numpy 1.26.x is fine but
+#     do not hard-pin it — let pip choose within that window.
+# ──────────────────────────────────────────────────────────────────────────────
+
+# Deep-learning stack  (floor-only — let HF pick the compatible wheel)
+torch>=2.1.0
+torchvision>=0.16.0
+
+# Model architecture
+timm>=0.9.16
+
+# Numerical
+numpy>=1.24,<3.0