Spaces:
Runtime error
Runtime error
File size: 2,686 Bytes
9303e53 |
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 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 |
#!/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[ ]:
|