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import gradio as gr
from PIL import Image
import requests
import hopsworks
import joblib
import pandas as pd
project = hopsworks.login()
fs = project.get_feature_store()
mr = project.get_model_registry()
model = mr.get_model("wine_model_randomforest", version=1)
model_dir = model.download()
model = joblib.load(model_dir + "/wine_model.pkl")
print("Model downloaded")
def wine_predictor(fixed_acidity, volatile_acidity, citric_acid, residual_sugar,
chlorides,total_sulfur_dioxide, pH, sulphates,
alcohol, sulfur_dioxide_ratio, isRedWine):
type_red = isRedWine
type_white = not type_red
df = pd.DataFrame([[fixed_acidity, volatile_acidity, citric_acid, residual_sugar,
chlorides,total_sulfur_dioxide, pH, sulphates,
alcohol, type_red, type_white, sulfur_dioxide_ratio]],
columns=["fixed_acidity", "volatile_acidity", "citric_acid", "residual_sugar",
"chlorides","total_sulfur_dioxide", "ph", "sulphates",
"alcohol","type_red", "type_white","sulfur_dioxide_ratio"])
res = model.predict(df)
wine_quality_url = "https://raw.githubusercontent.com/rogoran/id2223kth.github.io/master/src/serverless-ml-intro/serverless-ml-lab/wine_images/wine-" + str(res[0]) + ".png"
print(wine_quality_url)
img = Image.open(requests.get(wine_quality_url, stream=True).raw)
return img
demo = gr.Interface(
fn=wine_predictor,
title="Wine Predictive Analytics",
description="Experiment with sepal/petal lengths/widths to predict which flower it is.",
allow_flagging="never",
inputs=[
gr.inputs.Number(default=7.0, label="fixed acidity"),
gr.inputs.Number(default=0.3, label="volatile acidity"),
gr.inputs.Number(default=0.3, label="citric acid"),
gr.inputs.Number(default=5.0, label="residual sugar"),
gr.inputs.Number(default=0.05, label="chlorides"),
gr.inputs.Number(default=114, label="total_sulfur_dioxide"),
gr.inputs.Number(default=3.2, label="pH"),
gr.inputs.Number(default=0.5, label="sulphates"),
gr.inputs.Number(default=10, label="alcohol"),
gr.inputs.Number(default=0.3, label="sulfur dioxide free-total ratio"),
gr.inputs.Checkbox(label="Red wine?")
],
outputs=gr.Image(type="pil").style(height=300, width=200))
demo.launch(debug=True)
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