Update app.py
Browse files
app.py
CHANGED
@@ -11,45 +11,65 @@ fs = project.get_feature_store()
|
|
11 |
|
12 |
|
13 |
mr = project.get_model_registry()
|
14 |
-
model = mr.get_model("
|
15 |
model_dir = model.download()
|
16 |
-
model = joblib.load(model_dir + "/
|
17 |
|
18 |
-
def titanic(pclass, sex,
|
19 |
-
input_list = []
|
20 |
-
|
21 |
-
input_list.append(int(sex))
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
|
30 |
-
|
31 |
-
|
32 |
-
|
33 |
-
|
34 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
35 |
if res[0] == 0: #ded
|
36 |
-
|
|
|
|
|
37 |
else:
|
38 |
-
|
|
|
39 |
img = Image.open(requests.get(passenger_url, stream=True).raw)
|
40 |
return img
|
41 |
-
|
42 |
demo = gr.Interface(
|
43 |
fn=titanic,
|
44 |
title="Titanic Passenger Survival Predictive Analytics",
|
45 |
description="If one person is on titanic, predict whether he or she will survive.",
|
46 |
allow_flagging="never",
|
47 |
-
inputs=[
|
48 |
gr.inputs.Dropdown(choices=["Male", "Female"], type="index", label="sex"),
|
49 |
-
gr.inputs.
|
50 |
-
gr.inputs.Number(default=
|
51 |
-
gr.inputs.
|
|
|
|
|
52 |
],
|
|
|
53 |
outputs=gr.Image(type="pil"))
|
54 |
|
55 |
demo.launch()
|
|
|
11 |
|
12 |
|
13 |
mr = project.get_model_registry()
|
14 |
+
model = mr.get_model("titanic_survival_modal", version=1)
|
15 |
model_dir = model.download()
|
16 |
+
model = joblib.load(model_dir + "/titanic_survival_model.pkl")
|
17 |
|
18 |
+
def titanic(pclass, sex, age, fare, embarked, title, isalone):
|
19 |
+
input_list = []
|
20 |
+
input_list.append(int(pclass+1))
|
21 |
+
input_list.append(int(sex))
|
22 |
+
if age<=16:
|
23 |
+
input_list.append(0)
|
24 |
+
elif age>16 and age<=32:
|
25 |
+
input_list.append(1)
|
26 |
+
elif age>32 and age<=48:
|
27 |
+
input_list.append(2)
|
28 |
+
elif age>48 and age<=64:
|
29 |
+
input_list.append(3)
|
30 |
+
else:
|
31 |
+
input_list.append(4)
|
32 |
+
if fare<=7.91:
|
33 |
+
input_list.append(0)
|
34 |
+
elif fare>7.91 and fare<=14.454:
|
35 |
+
input_list.append(1)
|
36 |
+
elif fare>14.454 and fare<=31:
|
37 |
+
input_list.append(2)
|
38 |
+
else:
|
39 |
+
input_list.append(3)
|
40 |
+
if embarked=='C':
|
41 |
+
input_list.append(1)
|
42 |
+
elif embarked=='S':
|
43 |
+
input_list.append(0)
|
44 |
+
else:
|
45 |
+
input_list.append(2)
|
46 |
+
input_list.append(title)
|
47 |
+
input_list.append(isalone)
|
48 |
+
res = model.predict(np.asarray(input_list,dtype=object).reshape(1,-1))
|
49 |
if res[0] == 0: #ded
|
50 |
+
person="dead"
|
51 |
+
passenger_url = "https://raw.githubusercontent.com/irena123333/titanic-prediction/main/dead.png"
|
52 |
+
|
53 |
else:
|
54 |
+
person="survived"
|
55 |
+
passenger_url = "https://raw.githubusercontent.com/irena123333/titanic-prediction/main/survived.png"
|
56 |
img = Image.open(requests.get(passenger_url, stream=True).raw)
|
57 |
return img
|
58 |
+
|
59 |
demo = gr.Interface(
|
60 |
fn=titanic,
|
61 |
title="Titanic Passenger Survival Predictive Analytics",
|
62 |
description="If one person is on titanic, predict whether he or she will survive.",
|
63 |
allow_flagging="never",
|
64 |
+
inputs=[gr.inputs.Dropdown(choices=["Class 1","Class 2","Class 3"], type="index", label="pclass"),
|
65 |
gr.inputs.Dropdown(choices=["Male", "Female"], type="index", label="sex"),
|
66 |
+
gr.inputs.Slider(0,150,label='Age'),
|
67 |
+
gr.inputs.Number(default=8.0, label="Fare"),
|
68 |
+
gr.inputs.Radio(default='S', label="Embarkation Port", choices=['C', 'Q', 'S']),
|
69 |
+
gr.inputs.Dropdown(choices=["Master","Miss","Mr","Mrs","Other"], type="index", label="Title"),
|
70 |
+
gr.inputs.Dropdown(choices=["False", "True"], type="index", label="IsAlone"),
|
71 |
],
|
72 |
+
|
73 |
outputs=gr.Image(type="pil"))
|
74 |
|
75 |
demo.launch()
|