Fix Page Text

app.py

@@ -1,6 +1,6 @@
 #########################################################################
 # Copyright (C)                                                       	#
-# 2025-June Sen Li (Sen.Li.Sprout@gmail.com)		     			    #
+# 2025-August Sen Li (Sen.Li.Sprout@gmail.com)		     			    #
 # Permission given to modify the code only for Non-Profit Research		#
 # as long as you keep this declaration at the top 						#
 #########################################################################
@@ -59,7 +59,7 @@ def func_sBERT_SimilarityResult(str_Text_1, str_Text_2):
     tensor_Similarity = sentence_transformers.util.pytorch_cos_sim(arrEmbedding_Text_1, arrEmbedding_Text_2)
     f_Similarity = tensor_Similarity.item()
 
-    return f"sBERT Similarity Score: {f_Similarity:.4f}"
+    return f"Clinical Similarity Score: {f_Similarity:.4f}"
 
 # ----------------------------------------------------------------------------------------------------------------------
 # Launch the interface and MCP server
@@ -72,7 +72,7 @@ if __name__ == "__main__":
     # 03. Gradio UI elements
     with gr.Blocks() as grBlocks_SentenceSimilarity__MCP_Server:
         gr.Markdown("# ClinicalBERT for Clinical Text Similarity using HF Inference Server")
-        gr.Markdown("This application calculates Similarity Score between two Texts")
+        gr.Markdown("This application calculates Cosine Similarity Score between two Texts' ClinicalBERT Sentence-Embeddings")
 
         with gr.Row():
             grTextBox_Input_1 = gr.Textbox(label="Text Panel 1", lines=20)