gradio

gradio_app.py

@@ -9,13 +9,10 @@ import spaces
 # -----------------------------
 # Setup paths and env
 # -----------------------------
-HF_HOME = "/home/user/app/hf_cache"
-os.environ["HF_HOME"] = HF_HOME
-os.environ["TRANSFORMERS_CACHE"] = HF_HOME
-os.makedirs(HF_HOME, exist_ok=True)
-
-# hf_hub_download(repo_id="ai-forever/Real-ESRGAN", filename="RealESRGAN_x4.pth", local_dir="model_real_esran")
-# snapshot_download(repo_id="AlexWortega/RIFE", local_dir="model_rife")
+# HF_HOME = "/home/user/app/hf_cache"
+# os.environ["HF_HOME"] = HF_HOME
+# os.environ["TRANSFORMERS_CACHE"] = HF_HOME
+# os.makedirs(HF_HOME, exist_ok=True)
 
 PRETRAINED_DIR = "/home/user/app/pretrained"
 os.makedirs(PRETRAINED_DIR, exist_ok=True)
@@ -258,4 +255,5 @@ with demo:
     )
 if __name__ == "__main__":
     download_models()
-    demo.launch(server_name="0.0.0.0", server_port=7860, share=True, ssr_mode=False)
+    demo.queue(max_size=15)
+    demo.launch()