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#!/usr/bin/env python | |
# coding: utf-8 | |
# In[1]: | |
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("tita_modal", version=1) | |
model_dir = model.download() | |
model = joblib.load(model_dir + "/tita_model.pkl") | |
def tita(passengerid, age, sibsp, parch, fare, cabin_no, cabin_yes, embarked_c, embarked_q, embarked_s, sex_female, sex_male, pclass_1, pclass_2, pclass_3): | |
input_list = [] | |
input_list.append(passengerid) | |
input_list.append(age) | |
input_list.append(sibsp) | |
input_list.append(parch) | |
input_list.append(fare) | |
input_list.append(cabin_no) | |
input_list.append(cabin_yes) | |
input_list.append(embarked_c) | |
input_list.append(embarked_q) | |
input_list.append(embarked_s) | |
input_list.append(sex_female) | |
input_list.append(sex_male) | |
input_list.append(pclass_1) | |
input_list.append(pclass_2) | |
input_list.append(pclass_3) | |
# '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. | |
if (res[0] == 1): | |
life = "alive" | |
else: | |
life = "dead" | |
flower_url = "https://raw.githubusercontent.com/Man-bearpig/ID2223/main/" + life + ".png" | |
img = Image.open(requests.get(flower_url, stream=True).raw) | |
return img | |
demo = gr.Interface( | |
fn=tita, | |
title="titanic", | |
description="Experiment with sepal/petal lengths/widths to predict which flower it is.", | |
allow_flagging="never", | |
inputs=[ | |
gr.inputs.Number(default=1.0, label="passengerid"), | |
gr.inputs.Number(default=1.0, label="age"), | |
gr.inputs.Number(default=1.0, label="sibsp"), | |
gr.inputs.Number(default=1.0, label="parch"), | |
gr.inputs.Number(default=1.0, label="fare"), | |
gr.inputs.Number(default=1.0, label="cabin_no"), | |
gr.inputs.Number(default=1.0, label="cabin_yes"), | |
gr.inputs.Number(default=1.0, label="embarked_c"), | |
gr.inputs.Number(default=1.0, label="embarked_q"), | |
gr.inputs.Number(default=1.0, label="embarked_s"), | |
gr.inputs.Number(default=1.0, label="sex_female"), | |
gr.inputs.Number(default=1.0, label="sex_male"), | |
gr.inputs.Number(default=1.0, label="pclass_1"), | |
gr.inputs.Number(default=1.0, label="pclass_2"), | |
gr.inputs.Number(default=1.0, label="pclass_3"), | |
], | |
outputs=gr.Image(type="pil")) | |
demo.launch() | |
# In[ ]: | |