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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", version=1) | |
model_dir = model.download() | |
model = joblib.load(model_dir + "/wine_model.pkl") | |
print("Model downloaded") | |
def wine(type, fixed_acidity, volatile_acidity, citric_acid, residual_sugar, chlorides, free_sulfur_dioxide, | |
total_sulfur_dioxide, density, ph, sulphates, alcohol): | |
print("Calling function") | |
# df = pd.DataFrame([[sepal_length],[sepal_width],[petal_length],[petal_width]], | |
df = pd.DataFrame([[type, fixed_acidity, volatile_acidity, citric_acid, residual_sugar, chlorides, free_sulfur_dioxide, | |
total_sulfur_dioxide, density, ph, sulphates, alcohol]], | |
columns=['type', 'fixed_acidity', 'volatile_acidity', 'citric_acid', 'residual_sugar', 'chlorides', 'free_sulfur_dioxide', | |
'total_sulfur_dioxide', 'density', 'ph', 'sulphates', 'alcohol']) | |
print("Predicting") | |
print(df) | |
# 'res' is a list of predictions returned as the label. | |
res = "Wine Quality is " + str(model.predict(df)) | |
# We add '[0]' to the result of the transformed 'res', because 'res' is a list, and we only want | |
# the first element. | |
# print("Res: {0}").format(res) | |
return res | |
# flower_url = "https://raw.githubusercontent.com/featurestoreorg/serverless-ml-course/main/src/01-module/assets/" + res[0] + ".png" | |
# img = Image.open(requests.get(flower_url, stream=True).raw) | |
# return img | |
demo = gr.Interface( | |
fn=wine, | |
title="Wine Predictive Analytics", | |
description="Experiment with various wine components to predict its quality.", | |
allow_flagging="never", | |
inputs=[ | |
gr.inputs.Number(default=0, label="Type (0 for red, 1 for white)"), | |
gr.inputs.Number(default=0.0, label="fixed acidity"), | |
gr.inputs.Number(default=0.0, label="volatile acidity"), | |
gr.inputs.Number(default=0.0, label="citric acid"), | |
gr.inputs.Number(default=0.0, label="residual sugar"), | |
gr.inputs.Number(default=0.0, label="chlorides"), | |
gr.inputs.Number(default=0.0, label="free sulfur dioxide"), | |
gr.inputs.Number(default=0.0, label="total sulfur dioxide"), | |
gr.inputs.Number(default=0.0, label="density"), | |
gr.inputs.Number(default=0.0, label="pH"), | |
gr.inputs.Number(default=0.0, label="sulphates"), | |
gr.inputs.Number(default=0.0, label="alcohol") | |
], | |
outputs="text") | |
demo.launch(debug=True) | |