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app.py

@@ -3,8 +3,7 @@ import os
 from collections import Counter
 import time
 import traceback
-from transformers import AutoImageProcessor
-from transformers import SiglipForImageClassification
+from transformers import AutoImageProcessor, SiglipForImageClassification
 from PIL import Image
 import torch
 import cv2
@@ -70,7 +69,7 @@ class SignLanguageVideoProcessor(VideoProcessorBase):
         
         inputs = self.processor(images=img_pil, return_tensors="pt")
         with torch.no_grad():
-            outputs = self.model(**inputs)
+            outputs = model(**inputs)
             logits = outputs.logits
         
         predicted_label_index = torch.argmax(logits, dim=1).item()

requirements.txt

@@ -7,4 +7,4 @@ Pillow
 streamlit_webrtc
 av==12.0.0
 numpy
-huggingface_hub==0.20.0
+# huggingface_hub==0.20.0 # Removed pinning to let transformers choose