Upload app.py with huggingface_hub

app.py

@@ -61,9 +61,11 @@ for name, repo in ASR_MODELS.items():
     w = hf_hub_download(repo, "model.pt")
     sd = torch.load(w, map_location="cpu", weights_only=True)
     info = mdl.load_state_dict(sd, strict=False)
-    print(f"  missing: {len(info.missing_keys)}, unexpected: {len(info.unexpected_keys)}")
+    # lm_head not in checkpoint — it's tied to embed_tokens
+    mdl.lm_head.weight = mdl.embed_tokens.weight
+    print(f"  missing: {len(info.missing_keys)}, unexpected: {len(info.unexpected_keys)}, lm_head tied")
     for k in info.missing_keys:
-        if "rope" not in k and "inv_freq" not in k:
+        if "rope" not in k and "inv_freq" not in k and "lm_head" not in k:
             print(f"  MISSING: {k}")
     mdl.requires_grad_(False)
     loaded_asr[name] = mdl