Upload folder using huggingface_hub

.gitattributes copy

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
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README copy.md

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+---
+title: GSASR
+emoji: 🌖
+colorFrom: pink
+colorTo: yellow
+sdk: gradio
+sdk_version: 4.44.1
+python_version: 3.10
+app_file: app.py
+pinned: false
+# suggested_hardware: zero-a10g 
+license: mit
+short_description: GSASR(2d gaussian for arbitrary-scale super-resolution)
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -40,10 +40,10 @@ def load_model(
     device: str | torch.device = "cuda"
 ):
     enc_path = hf_hub_download(
-            repo_id=pretrained_model_name_or_path, filename=os.path.join(model_name, 'encoder.pth')
+            repo_id=pretrained_model_name_or_path, filename=os.path.join(model_name, 'GSASR_enhenced_ultra', 'encoder.pth')
         )
     dec_path = hf_hub_download(
-            repo_id=pretrained_model_name_or_path, filename=os.path.join(model_name, 'decoder.pth')
+            repo_id=pretrained_model_name_or_path, filename=os.path.join(model_name, 'GSASR_enhenced_ultra', 'decoder.pth')
         )
 
     enc_weight = torch.load(enc_path, weights_only=True)['params_ema']