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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(Sex_Code,Pclass,Embarked_Code,Title_Code,FamilySize,AgeBin_Code,FareBin_Code): | |
input_list = [] | |
input_list.append(Sex_Code) | |
input_list.append(Pclass) | |
input_list.append(Embarked_Code) | |
input_list.append(Title_Code) | |
input_list.append(FamilySize) | |
input_list.append(AgeBin_Code) | |
input_list.append(FareBin_Code) | |
# '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): | |
flower_url = "https://images.pexels.com/photos/8384595/pexels-photo-8384595.jpeg?auto=compress&cs=tinysrgb&w=600" | |
elif(res[0]==0): | |
flower_url = "https://images.pexels.com/photos/1121906/pexels-photo-1121906.jpeg?auto=compress&cs=tinysrgb&w=600" | |
img = Image.open(requests.get(flower_url, stream=True).raw) | |
return img | |
demo = gr.Interface( | |
fn=titanic, | |
title="Titanic Survivor Predictive Analytics", | |
description="Experiment with input parameters to predict survival", | |
allow_flagging="never", | |
inputs=[ | |
#0= female 1=male | |
gr.Radio(["Female", "Male"], label="Gender", type="index"), | |
gr.Radio([1, 2, 3], label="Ticket class", type = "value"), | |
gr.Radio([1, 2, 3], label="Embarked from", type="index"), | |
gr.Radio(["Master", "miscellaneous", "Miss", "Mr", "Mrs" ], label="Title", type="index"), | |
gr.Radio([1,2,3,4,5,6,7,8,11], label="Family size", type="value"), | |
gr.Radio(["age<=16", "16<age<=32", "32<age<=48", "48<age<=64", "64<age<=80"], label="Age", type="index"), | |
gr.Radio(["Low", "Medium", "High", "Very high"], label="Fare", type="index"), | |
], | |
outputs=gr.Image(type="pil") | |
) | |
demo.launch() | |