Update app.py

app.py

@@ -62,7 +62,7 @@ def find_exact_match(df1, df2, column_name):
     return matches
 
 
-def find_similar_texts(df1, df2, column_name, threshold=0.4):
+def find_similar_texts(df1, df2, column_name, threshold=0.5):
     # Find rows with similar texts in the specified column, excluding exact matches
     similar_texts = []
     exact_matches = []
@@ -91,9 +91,9 @@ def find_similar_texts(df1, df2, column_name, threshold=0.4):
                 max_length = max(len(row1[column_name]), len(row2[column_name]))
                 similarity_score = 1 - (distance / max_length)
                 if similarity_score >= threshold:
-                    if similarity == 1:  # Exact match
+                    if similarity >= threshold and similarity < 1:  # Exact match
                         exact_matches.append((i, j, row1[column_name], row2[column_name]))
-                    else:  # Similar but not the same
+                    elif similarity > threshold:  # Similar but not the same
                         similar_texts.append((i, j, row1[column_name], row2[column_name]))
     
     return similar_texts, exact_matches
@@ -101,6 +101,7 @@ def find_similar_texts(df1, df2, column_name, threshold=0.4):
 
 
 
+
 def main():
     st.title("Item Comparison App")
 
@@ -122,7 +123,7 @@ def main():
         st.header("Select Columns")
         warehouse_column = st.selectbox("Choose column from warehouse item stocks:", warehouse_columns)
         industry_column = st.selectbox("Choose column from industry item stocks:", industry_columns)
-
+ 
         # Compare button
         if st.button("Compare"):
             # Find exact matches