#!/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="Enter the basic information for a passenger.",
    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()


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