Update app.py

Added a slider

app.py

@@ -26,8 +26,8 @@ def check_misspelled_words(user_input):
 
 # Define the function for mapping code
 # Define the function for mapping code
-def mapping_code(user_input):
-    if len(user_input.split()) < 5:  # Check if sentence has less than 5 words
+def mapping_code(user_input,user_slider_input_number):
+    if len(user_input.split()) < 1:  # Check if sentence has less than 5 words
         raise ValueError("Input sentence should be at least 5 words long.")
     emb1 = model.encode(user_input.lower())
     similarities = []
@@ -36,7 +36,7 @@ def mapping_code(user_input):
         similarities.append(similarity)
 
     # Filter results with similarity scores above 0.70
-    result = [(code, desc, sim) for (code, desc, sim) in zip(stored_data["SBS_code"], stored_data["Description"], similarities) if sim > 0.70]
+    result = [(code, desc, sim) for (code, desc, sim) in zip(stored_data["SBS_code"], stored_data["Description"], similarities) if sim > user_slider_input_number]
 
     # Sort results by similarity scores
     result.sort(key=lambda x: x[2], reverse=True)
@@ -60,6 +60,8 @@ def main():
 
     st.markdown("**Note:** Similarity scores are not absolute and should be further confirmed manually for accuracy.")
 
+    user_slider_input_number = st.sidebar.slider('Select similarity threshold', 0.0, 1.0, 0.7, 0.01, key='slider1', help='Adjust the similarity threshold')
+
     # Input text box for user input
     user_input = st.text_input("Enter CPT description:", placeholder="Please enter a full description for better search results.")
     # Button to trigger mapping