Update app.py

app.py

@@ -29,7 +29,7 @@ def titanic(pclass, sex, age, fare):
     # the first element.
     image_url = "https://raw.githubusercontent.com/xrisaD/ScalableML-Titanic/main/images/" + str(res[0]) + ".jpg"
     img = Image.open(requests.get(image_url, stream=True).raw)
-    return img #res[0]
+    return img
         
 demo = gr.Interface(
     fn=titanic,
@@ -37,12 +37,11 @@ demo = gr.Interface(
     description="Experiment with titanic features to predict if passanger survived.",
     allow_flagging="never",
     inputs=[
-        gr.inputs.Dropdown(label="Passanger Class", choices = [1, 2, 3]),
-        gr.inputs.Dropdown(label="Sex", choices=["Female", "Male"], type="index"),
-        gr.inputs.Dropdown(label="Age", choices=['0-21', '22-25', '26-40', '41-80', 'unknown'], type="index"),
+        gr.inputs.Dropdown(default=1, label="Passanger Class", choices = [1, 2, 3]),
+        gr.inputs.Dropdown(default="Female", label="Sex", choices=["Female", "Male"], type="index"),
+        gr.inputs.Dropdown(default="0-21", label="Age", choices=['0-21', '22-25', '26-40', '41-80', 'unknown'], type="index"),
         gr.inputs.Slider(minimum=0, maximum=600, default=50, label="Fare"),
         ],
-    outputs=gr.Image(type="pil")) #gr.inputs.Number(label="Survived"))
+    outputs=gr.Image(type="pil"))
 
 demo.launch()
-