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import gradio as gr
import numpy as np
from PIL import Image
import requests
import hopsworks
import joblib
project = hopsworks.login()
fs = project.get_feature_store()
mr = project.get_model_registry()
model = mr.get_model("titanic_modal", version=1)
model_dir = model.download()
model = joblib.load(model_dir + "/titanic_model.pkl")
def titanic(pclass, sex, age, sibsp, parch, fare, cabin):
input_list = []
input_list.append(pclass)
input_list.append(sex)
input_list.append(age)
input_list.append(sibsp)
input_list.append(parch)
input_list.append(fare)
input_list.append(cabin)
res = model.predict(np.asarray(input_list).reshape(1, -1))
if (res[0] == 1):
return "Passenger survived!"
else:
return "Passenger did not survive."
demo = gr.Interface(
fn=titanic,
title="Titanic Passenger Survival Predictive Analysis",
description="Experiment with the variables below to determine if a passenger would survive the Titanic",
allow_flagging="never",
inputs=[
gr.inputs.Number(
default=1, label="Ticket class (1: upper, 2: middle, 3: lower)"),
gr.inputs.Number(default=1, label="Gender (1: female, 0: male)"),
gr.inputs.Number(
default=1, label="Age (0: child, 1: teenager, 2: young adult, 3: adult, 4: old)"),
gr.inputs.Number(default=1, label="Siblings/spouse onboard"),
gr.inputs.Number(default=1, label="Parents/children onboard"),
gr.inputs.Number(default=1, label="Passenger fare ($)"),
gr.inputs.Number(
default=1, label="Cabin deck (0-7 corresponds to A-G)")
],
outputs=gr.Textbox())
demo.launch()
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