Update src/pages/1_Individual_Predictions.py

src/pages/1_Individual_Predictions.py

@@ -15,12 +15,12 @@ st.title("👤 Individual Patient Prediction")
 st.session_state.targets_df = pd.DataFrame()
 
 with st.form("individual_form"):
-    st.subheader("Recipient Information", divider=True)
-    gender = st.radio("Recipient Gender", ['MALE', 'FEMALE'], index=None)
+    st.subheader("Recepient Information", divider=True)
+    gender = st.radio("Recepient Gender", ['MALE', 'FEMALE'], index=None)
     min_d = dt.date(1950, 1, 1)
     max_d = dt.date(2050, 12, 31)
-    dob = st.date_input("Recipient DOB", value=dt.date(2000, 1, 31), min_value=min_d, max_value=max_d, format="DD/MM/YYYY")
-    nationality = st.selectbox("Recipient Nationality", sorted([
+    dob = st.date_input("Recepient DOB", value=dt.date(2000, 1, 31), min_value=min_d, max_value=max_d, format="DD/MM/YYYY")
+    nationality = st.selectbox("Recepient Nationality", sorted([
         'EMIRATI', 'EGYPTIAN', 'BANGLADESHI', 'AFGHAN', 'SYRIAN', 'INDIAN', 'PAKISTANI',
         'YEMENI', 'JORDANIAN', 'OMANI', 'FILIPINO', 'SUDANESE', 'MOROCCAN',
         'PALESTINIAN', 'ETHIOPIAN', 'AMERICAN', 'ALGERIAN', 'INDONESIAN', 'LEBANESE',
@@ -57,12 +57,12 @@ with st.form("individual_form"):
     r_hla_dq = st.multiselect("R_HLA_DQ", options=['Unknown', 'SELF'], max_selections=2, accept_new_options=True)
 
     st.subheader("Donor Information", divider=True)
-    donor_relation = st.radio("Donor Relation to Recipient", [
+    donor_relation = st.radio("Donor Relation to Recepient", [
         'SELF', 'SIBLING', 'FIRST DEGREE RELATIVE', 'SECOND DEGREE RELATIVE', 'RELATED', 'UNRELATED', 'Unknown', 
     ], index=None)
 
     if donor_relation == 'SELF':
-        # If the donor is the recipient, set the donor
+        # If the donor is the recepient, set the donor
         st.session_state.SELF = True
     else:
         st.session_state.SELF = False
@@ -199,7 +199,7 @@ if submitted:
         "PreHSCT conditioning regimen+/-ATG+/-TBI": conditioning,
         "HSCT_date": hsct_date.strftime("%d/%m/%Y"),
         "Source of cells": cell_source,
-        "Donor_relation to recipient": donor_relation,
+        "Donor_relation to recepient": donor_relation,
         "HLA match ratio": hla_match,
         "Donor_type": donor_type if donor_type else "UNKNOWN",
         "Conditioning_intensity": conditioning_intensity if conditioning_intensity else "UNKNOWN",