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app.py

@@ -66,12 +66,12 @@ class SignLanguageVideoProcessor(VideoProcessorBase):
 
     def recv(self, frame: av.VideoFrame) -> av.VideoFrame:
         img_pil = frame.to_image().convert("RGB")
-        
+
         inputs = self.processor(images=img_pil, return_tensors="pt")
         with torch.no_grad():
             outputs = model(**inputs)
             logits = outputs.logits
-        
+
         predicted_label_index = torch.argmax(logits, dim=1).item()
         current_predicted_label = self.labels[str(predicted_label_index)]
 
@@ -164,7 +164,7 @@ if uploaded_file is not None:
         with st.spinner("Translating video... This might take a while depending on video length."):
             realtime_pred, unique_letters = sign_language_classification_streamlit(video_path)
             st.success("Translation Complete!")
-            
+
             st.subheader("Last Predicted Sign (from file)")
             st.write(realtime_pred)