download model at runtime via hf_hub_download

src/streamlit_app.py

@@ -33,14 +33,18 @@ EXPLANATIONS = {
 
 @st.cache_resource
 def load_model():
-    if not os.path.exists(_MODEL_PATH):
-        root_files = os.listdir(_REPO_ROOT)
-        return None, f"error: model.keras not found at {_MODEL_PATH}. Files in {_REPO_ROOT}: {root_files}"
     try:
+        from huggingface_hub import hf_hub_download
         import tensorflow as tf
         from model_def import FeedForwardNetwork
+
+        model_path = hf_hub_download(
+            repo_id="Group3DActRecog/actRecog",
+            filename="model.keras",
+            repo_type="space",
+        )
         model = tf.keras.models.load_model(
-            _MODEL_PATH,
+            model_path,
             custom_objects={"FeedForwardNetwork": FeedForwardNetwork},
         )
         return model, "ready"