Spaces:
Runtime error
Runtime error
File size: 2,170 Bytes
593b89c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
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=2)
model_dir = model.download()
model = joblib.load(model_dir + "/titanic_model.pkl")
def titanic_passanger(age, sex, sibsp, parch, fare, embarked, pclass):
input_list = []
sex_value = 1 if sex=='female' else 0
pclass_value = int(pclass)
if embarked == 'S':
embarked_value = 0
elif embarked == 'C':
embarked_value = 1
else:
embarked_value = 2
input_list.append(pclass_value)
input_list.append(sex_value)
input_list.append(age)
input_list.append(sibsp)
input_list.append(parch)
input_list.append(fare)
input_list.append(embarked_value)
# 'res' is a list of predictions returned as the label.
res = model.predict(np.asarray(input_list).reshape(1, -1))
# We add '[0]' to the result of the transformed 'res', because 'res' is a list, and we only want
# the first element.
img_urls=["https://uxwing.com/wp-content/themes/uxwing/download/health-sickness-organs/skull-icon.png", "https://uxwing.com/wp-content/themes/uxwing/download/emoji-emoticon/happy-icon.png"]
img_url = img_urls[res[0]]
img = Image.open(requests.get(img_url, stream=True).raw)
return img
demo = gr.Interface(
fn=titanic_passanger,
title="Titanic Survivor Predictive Analytics",
description="Experiment with the features to predict survivor status.",
allow_flagging="never",
inputs=[
gr.inputs.Number(default=22.0, label="Age"),
gr.inputs.Radio(['female', 'male'], label="Sex"),
gr.inputs.Number(default=1.0, label="Number of siblings and spouses aboard"),
gr.inputs.Number(default=1.0, label="Number of parents and children aboard"),
gr.inputs.Number(default=1.0, label="Fare"),
gr.inputs.Radio(['S', 'C', 'Q'], label="Port embarked"),
gr.inputs.Radio(['1', '2', '3'], label="Ticket class"),
],
outputs=gr.Image(type="pil"))
demo.launch()
|