Fix RVM background removal crash on the Space (trust_repo + fallback)

torch.hub.load('PeterL1n/RobustVideoMatting') prompts 'trust this repo?', which
raises EOFError in the non-interactive Space. Pass trust_repo=True. Also wrap the
background-removal call so any failure logs a warning and falls back to full-frame
reconstruction instead of aborting the whole run.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

app.py

@@ -250,9 +250,14 @@ def run(
             _say(0.08, "Removing background (Robust Video Matting)…")
             from faceanything.background import generate_masks
 
-            mask_paths = generate_masks(
-                frame_paths, os.path.join(workdir, "masks"), device=device
-            )
+            try:
+                mask_paths = generate_masks(
+                    frame_paths, os.path.join(workdir, "masks"), device=device
+                )
+            except Exception as bg_err:  # don't let RVM take down the whole run
+                mask_paths = None
+                log.append(f"WARNING: background removal failed ({bg_err}); "
+                           f"reconstructing the full frame instead.")
 
         # ---- model + inference ----
         _say(0.15, "Loading model (first run downloads/loads the checkpoint)…")

src/faceanything/background.py

@@ -30,7 +30,9 @@ def generate_masks(image_paths, output_dir, model_name: str = "resnet50",
 
     if verbose:
         print(f"[faceanything] loading Robust Video Matting ({model_name}) ...", flush=True)
-    model = torch.hub.load("PeterL1n/RobustVideoMatting", model_name)
+    # trust_repo=True avoids the interactive "trust this repo?" prompt, which
+    # would otherwise raise EOFError in a non-interactive Space.
+    model = torch.hub.load("PeterL1n/RobustVideoMatting", model_name, trust_repo=True)
     model = model.to(dev).eval()
 
     rec = [None] * 4  # recurrent state