fix(app.py): :green_heart: use the best model

.gitattributes

@@ -35,3 +35,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 best_classifier2.pkl filter=lfs diff=lfs merge=lfs -text
 best_classifier1.pkl filter=lfs diff=lfs merge=lfs -text
+best_classifier1_optimized.pkl filter=lfs diff=lfs merge=lfs -text
+best_classifier2_optimized.pkl filter=lfs diff=lfs merge=lfs -text

app.py

@@ -16,8 +16,8 @@ priority_score_mapping = {1: "low", 2: "medium", 3: "high"}
 problem_domain_mapping = {0: "operational", 1: "tech"}
 
 # Load the trained Random Forest models
-best_classifier1 = joblib.load('best_classifier1.pkl')
-best_classifier2 = joblib.load('best_classifier2.pkl')
+best_classifier1 = joblib.load('best_classifier1_optimized.pkl')
+best_classifier2 = joblib.load('best_classifier2_optimized.pkl')
 
 # Function to perform predictions
 def predict(text):

best_classifier1.pkl → best_classifier1_optimized.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:11cfb0a69900b41beea15edc677a5f24e506100787c97629c54ecc4acf17e152
-size 1170993
+oid sha256:a9f001ff46ea8ad35f4f1649b3f8b0fec584d45d3a9a289cc29e6883288f4392
+size 1095297

best_classifier2.pkl → best_classifier2_optimized.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8dd36d9e99d6b6cf5d04c4f379a107f277cce50ac6584853921327c8548a6fdd
-size 404521
+oid sha256:7e0a5134cae8afab54b693de8add405cb027f23f72e3010550ef22103071135b
+size 235145