v6_remove unused labels

app.py

@@ -36,9 +36,7 @@ class ModelPredictor:
         self.prediction_map = {
             "YOWRCONC": ["Did NOT have difficulty concentrating", "Had difficulty concentrating"],
             "YOSEEDOC": ["Did NOT feel the need to see a doctor",  "Felt the need to see a doctor"],
-            "YOWRHRS":  ["No trouble sleeping",                    "Had trouble sleeping"],
             "YO_MDEA5": ["No restlessness/lethargy noticed",       "Others noticed restlessness/lethargy"],
-            "YOWRCHR":  ["Did NOT feel so sad",                    "Felt so sad nothing could cheer up"],
             "YOWRLSIN": ["Did NOT feel bored/lose interest",       "Felt bored/lost interest"],
             "YODPPROB": ["No other problems for 2+ weeks",         "Had other problems for 2+ weeks"],
             "YOWRPROB": ["No 'worst time ever' feeling",           "Had 'worst time ever' feeling"],
@@ -51,9 +49,7 @@ class ModelPredictor:
             "YO_MDEA3": ["No appetite/weight changes",             "Had changes in appetite/weight"],
             "YODPLSIN": ["Never lost interest/felt bored",         "Lost interest/felt bored"],
             "YOWRELES": ["Did NOT eat less than usual",            "Ate less than usual"],
-            "YODSCEV":  ["Fewer severe depression symptoms",       "More severe depression symptoms"],
-            "YOPB2WK":  ["No uneasy feelings 2+ weeks",            "Uneasy feelings 2+ weeks"],
-            "YO_MDEA2": ["No physical/mental issues for 2+ wks",   "Had physical/mental issues 2+ wks"]
+            "YOPB2WK":  ["No uneasy feelings 2+ weeks",            "Uneasy feelings 2+ weeks"]
         }
 
     def load_models(self):
@@ -331,9 +327,9 @@ def predict(
     # Group them by domain
     domain_groups = {
         "Concentration and Decision Making": ["YOWRCONC", "YOWRDCSN"],
-        "Sleep and Energy Levels": ["YOWRHRS", "YO_MDEA5", "YOWRELES", "YO_MDEA2"],
+        "Sleep and Energy Levels": ["YO_MDEA5", "YOWRELES"],
         "Mood and Emotional State": [
-            "YOWRCHR", "YOWRLSIN", "YOWRDEPR", "YODPDISC", "YOLOSEV", "YODPLSIN", "YODSCEV"
+            "YOWRLSIN", "YOWRDEPR", "YODPDISC", "YOLOSEV", "YODPLSIN"
         ],
         "Appetite and Weight Changes": ["YO_MDEA3", "YOWRELES"],
         "Duration and Severity of Depression Symptoms": [
@@ -425,7 +421,6 @@ def combined_plot(feature_list, label_col):
     If user picks 1 feature => distribution plot.
     If user picks 2 features => co-occurrence plot.
     Otherwise => show error or empty plot.
-
     This function also maps numeric codes to text using 'input_mapping'
     and 'predictor.prediction_map' so that the plots display more readable labels.
     """
@@ -624,4 +619,4 @@ with gr.Blocks(css=".gradio-container {max-width: 1200px;}") as demo:
         )
 
 # Finally, launch the Gradio app
-demo.launch()
+demo.launch()