added shampoo question

app.py

@@ -38,7 +38,7 @@ def pad(arr):
             arr[i] = arr[i] + " "
     return arr
 
-def predict(file, age, parent, gp):
+def predict(file, age, parent, gp, shampoo):
     product = ['Computer', 'Monitor ', 'Laptop  ', 'Printer ', 'Tablet  ']
     quantity = pad(np.array([320, 450, 300, 120, 280]) / 500)
     min_normal = pad(np.array([250, 200, 210, 100, 250]) / 500)
@@ -50,7 +50,7 @@ def predict(file, age, parent, gp):
     geneticRisks = ""
 
     for variant, risk, percent in zip(variants, risks, percents):
-        geneticRisks += f"Variant {variant} detected, risk of {risk} is {percent} higher.\n"
+        geneticRisks += f"Variant {variant} detected, risk of {risk} is {percent}% higher.\n"
 
     useful_products = ("Hydrating Shampoo : https://www.thisisthebestshampooforyou.fr/fr-fr/\n"
                        "Light Hat : https://www.amazon.com/light-therapy-hat/s?k=light+therapy+hat")
@@ -66,7 +66,8 @@ iface = gr.Interface(
         gr.File(value="tmp/metagenome.txt", type='file', label='Scalp sample'),
         gr.Textbox(label='Age'),
         gr.CheckboxGroup(choices=["Yes", "No", "Do not know"], label="Has the father experienced hair loss ?"),
-        gr.CheckboxGroup(choices=["0", "1", "2", "Do not know"], label="How many grand-parents have experienced hair loss ?")
+        gr.CheckboxGroup(choices=["0", "1", "2", "Do not know"], label="How many grand-parents have experienced hair loss ?"),
+        gr.Textbox(label='How many times a week do you wash your hair ?'),
     ],
     outputs=[
         gr.Image(label='Scalp Metagenomics Analysis Results'),