fix: restore compatible runtime dependency install

app.py

@@ -1,12 +1,26 @@
-import sys, os, tempfile
+import subprocess, sys, os, tempfile
 from threading import Thread
 from typing import Iterator
 import queue
 import threading
 
 
-# Runtime packages are pinned in requirements.txt so imports can happen as
-# soon as the container starts.
+# Runtime install of exact model-required versions. This cannot live in
+# requirements.txt because Gradio 6.19 requires huggingface-hub >=1.2 while
+# Transformers 4.x requires huggingface-hub <1.0.
+_RUNTIME_PKGS = [
+    "torch==2.10.0",
+    "torchvision==0.25.0",
+    "transformers>=4.48.0,<5.0.0",
+]
+
+print("Installing pinned runtime dependencies...")
+subprocess.run(
+    [sys.executable, "-m", "pip", "install", "--quiet", "--no-cache-dir", "--force-reinstall"] + _RUNTIME_PKGS,
+    check=True,
+)
+print("Runtime deps installed.")
+
 import torch
 from transformers import AutoModel, AutoTokenizer, TextIteratorStreamer
 from gradio import Server

requirements.txt

@@ -1,11 +1,7 @@
-# Keep model runtime dependencies in the image so the app server can start
-# immediately instead of reinstalling large wheels on every container boot.
-# transformers stays below v5 because the model's custom code imports
-# is_torch_fx_available, which was removed in v5.
+# Build-time deps only - gradio-compatible.
+# huggingface-hub pinned here because the Space base image ships 0.36.x
+# which is too old for gradio 6.19.0 (needs >=1.2.0).
 huggingface-hub>=1.2.0
-torch==2.10.0
-torchvision==0.25.0
-transformers>=4.48.0,<5.0.0
 matplotlib>=3.7.0
 einops>=0.8.0
 addict>=2.4.0