lower the similarity threshold

app.py

@@ -153,7 +153,7 @@ def evaluate_efficiency(dataset_split, similarity_threshold=0.1):
     return precision, recall, f1, avg_similarity
 
 # Calculate retrieval efficiency metrics
-precision, recall, f1, avg_similarity = evaluate_efficiency(dataset['validation'], similarity_threshold=0.1)
+precision, recall, f1, avg_similarity = evaluate_efficiency(dataset['validation'], similarity_threshold=1.0)
 
 # Gradio interface
 def gradio_interface(input_text):
@@ -174,7 +174,7 @@ def gradio_interface(input_text):
 metrics = f"Accuracy: {avg_similarity:.2f}"
 
 with gr.Blocks() as interface:
-    gr.Markdown("# Text Retrieval with Efficiency Metrics")
+    gr.Markdown("# Automated Medical Coding POC")
     gr.Markdown(metrics)
     with gr.Row():
         with gr.Column():