Update app.py

app.py

@@ -7,6 +7,26 @@ import spaces
 import gradio as gr
 from PIL import Image
 
+# =========================
+# FIX: gradio 4.24 / gradio_client boolean schema crash in /api_info
+# =========================
+try:
+    import gradio_client.utils as gcu
+
+    _orig_get_type = gcu.get_type
+
+    def _get_type_patched(schema):
+        # JSON Schema allows boolean schemas (true/false). gradio_client 0.x may crash on bool.
+        if isinstance(schema, bool):
+            return "any"
+        return _orig_get_type(schema)
+
+    gcu.get_type = _get_type_patched
+    print("Patched gradio_client.utils.get_type for boolean schemas", flush=True)
+except Exception as _e:
+    print("gradio_client patch skipped:", repr(_e), flush=True)
+
+
 import torch
 import numpy as np
 from torchvision import transforms
@@ -59,12 +79,12 @@ def ensure_garments_downloaded() -> None:
     if HF_TOKEN:
         try:
             login(token=HF_TOKEN, add_to_git_credential=False)
-            print("HF login: OK")
+            print("HF login: OK", flush=True)
         except Exception as e:
-            print("HF login: FAILED:", str(e)[:200])
+            print("HF login: FAILED:", str(e)[:200], flush=True)
 
     if not GARMENTS_DATASET:
-        print("GARMENTS_DATASET not set. Using local ./garments (if any).")
+        print("GARMENTS_DATASET not set. Using local ./garments (if any).", flush=True)
         return
 
     try:
@@ -75,9 +95,9 @@ def ensure_garments_downloaded() -> None:
             local_dir_use_symlinks=False,
             token=HF_TOKEN if HF_TOKEN else None,
         )
-        print(f"Garments dataset downloaded: {GARMENTS_DATASET} -> {GARMENT_DIR}/")
+        print(f"Garments dataset downloaded: {GARMENTS_DATASET} -> {GARMENT_DIR}/", flush=True)
     except Exception as e:
-        print("Garments download FAILED:", str(e)[:300])
+        print("Garments download FAILED:", str(e)[:300], flush=True)
 
 
 def list_garments() -> List[str]:
@@ -145,7 +165,7 @@ base_path = "yisol/IDM-VTON"
 
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 DTYPE = torch.float16 if DEVICE == "cuda" else torch.float32
-print("DEVICE:", DEVICE, "DTYPE:", DTYPE)
+print("DEVICE:", DEVICE, "DTYPE:", DTYPE, flush=True)
 
 tensor_transfrom = transforms.Compose(
     [transforms.ToTensor(), transforms.Normalize([0.5], [0.5])]
@@ -390,7 +410,6 @@ def tryon_ui(person_pil, selected_filename):
         )
         yield out, "✅ Готово"
     except Exception as e:
-        # В UI покажем коротко, но в консоль уйдёт полный traceback через show_error=True
         yield None, f"❌ Ошибка: {type(e).__name__}: {str(e)[:220]}"
 
 
@@ -431,24 +450,22 @@ with gr.Blocks(title="Virtual Try-On Rendez-vous", css=CUSTOM_CSS) as demo:
         fn=on_gallery_select,
         inputs=[garment_files_state],
         outputs=[selected_garment_state, selected_label],
-        concurrency_limit=8,   # чтобы выбор в галерее не блокировался инференсом
     )
 
     refresh_btn.click(
         fn=refresh_catalog,
         inputs=[],
         outputs=[garment_gallery, garment_files_state, selected_garment_state, status],
-        concurrency_limit=2,
     )
 
     run.click(
         fn=tryon_ui,
         inputs=[person, selected_garment_state],
         outputs=[out, status],
-        concurrency_limit=1,   # ✅ вместо demo.queue(concurrency_count=...)
+        concurrency_limit=1,  # ✅ правильный лимит в gradio 4.x
     )
 
-# IMPORTANT: queue helps stability on GPU (Gradio 4.x: no concurrency_count)
+# ✅ Gradio 4.x: no concurrency_count here
 demo.queue(max_size=20)
 
 if __name__ == "__main__":
@@ -458,5 +475,6 @@ if __name__ == "__main__":
         share=False,
         auth=APP_AUTH,
         max_threads=4,
-        show_error=True,   # ✅ чтобы видеть настоящие ошибки, если "ничего не происходит"
+        show_error=True,
+        show_api=False,   # ✅ главное: не дергаем /api_info (там у тебя падало)
     )