Fix runtime: bump Gradio SDK to 5.49.1 (hub-1.x compatible), pin transformers==5.9.0, dtype= kwarg

README.md

@@ -4,7 +4,7 @@ emoji: 🔎
 colorFrom: indigo
 colorTo: green
 sdk: gradio
-sdk_version: 4.44.0
+sdk_version: 5.49.1
 app_file: app.py
 pinned: false
 ---

byo_features.py

@@ -20,7 +20,7 @@ class BYOExtractor:
         self.device = device or ("cuda" if torch.cuda.is_available() else "cpu")
         self.tok = AutoTokenizer.from_pretrained(model_path)
         self.model = AutoModelForCausalLM.from_pretrained(
-            model_path, torch_dtype=torch.float32).to(self.device).eval()
+            model_path, dtype=torch.float32).to(self.device).eval()
 
     def _cont_loss(self, ids):
         logits = self.model(ids).logits

requirements.txt

@@ -1,6 +1,6 @@
 spaces
-gradio>=4.44
-transformers>=4.44
+gradio>=5,<6
+transformers==5.9.0
 torch>=2.8
 scikit-learn==1.7.2
 pandas>=2.0