adsa

app.py

@@ -23,10 +23,13 @@ st.markdown(
 )
 
 def map_to_emotion(spo2, bp, temp):
+    # Convert spo2 to numeric type
+    spo2_numeric = float(spo2.split('%')[0])
+
     # Spo2 mapping
-    if spo2 >= 96:
+    if spo2_numeric >= 96:
         spo2_emotion = ["Joy", "Anticipation", "Trust"]
-    elif spo2 == 93 or spo2 == 94:
+    elif spo2_numeric == 93 or spo2_numeric == 94:
         spo2_emotion = ["Fear"]
     else:
         spo2_emotion = ["Anger", "Disgust"]
@@ -40,9 +43,9 @@ def map_to_emotion(spo2, bp, temp):
         bp_emotion = ["Surprise"]
 
     # Temperature mapping
-    if temp >= 98.7 and temp <= 99.1:
+    if temp >= "98.7F" and temp <= "99.1F":
         temp_emotion = ["Joy", "Surprise", "Disgust", "Anticipation"]
-    elif temp < 98.7:
+    elif temp < "98.7F":
         temp_emotion = ["Sadness"]
     else:
         temp_emotion = ["Fear", "Anger"]
@@ -51,6 +54,7 @@ def map_to_emotion(spo2, bp, temp):
     emotions = spo2_emotion + bp_emotion + temp_emotion
     return emotions
 
+
 def predict_levels(emotions):
     # Placeholder for machine learning models
     # Here, we generate random predictions as placeholders