Update app.py

app.py

@@ -14,15 +14,15 @@ def main():
     file_path = "merged-averaged-model_timings_2.1.0_12.1_NVIDIA_A10G_False.csv"
     # Columns to display
     columns_to_display = [
-        "model_name", "pretrained", "image_time", "text_time", 
-        "avg_score", "image_shape", "text_shape", 
+        "model_name", "pretrained", "avg_score", "image_time", "text_time", 
+        "image_shape", "text_shape", 
         "output shape", 
         "params (M)", "FLOPs (B)"
     ]  # Specify the columns you want to display
     
     # Add header and description
     st.header("CLIP benchmarks - retrieval and inference")
-    st.write("CLIP benchmarks for inference and retrieval performance. Image size, context length and output dimensions are also presented. A10G, CUDA 12.1, Torch 2.1.0")
+    st.write("CLIP benchmarks for inference and retrieval performance. Image size, context length and output dimensions are also included. Retrieval performance comes from https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_retrieval_results.csv.\n A10G, CUDA 12.1, Torch 2.1.0")
     
     # Call the display_csv function with the hardcoded file path and selected columns
     display_csv(file_path, columns_to_display)