Update app.py

app.py

@@ -121,7 +121,7 @@ def run_model_pipeline(model, original_image, comparison_image, threshold=0.5):
         st.success('images loaded')
         
         # Get model embeddings/probabilites
-        output1, output2 = model(img1_tensor, img2_tensor)
+        output1, output2 = model(img1_tensor.float(), img2_tensor.float())
         st.success('outputs extracted')
 
         # Compute similarity