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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("incident_modal", version=1) | |
model_dir = model.download() | |
model = joblib.load(model_dir + "/incident_model.pkl") | |
def incident(pclass, sex, age, sibsp, parch, fare, embarked): | |
input_list = [] | |
if sex == 'female': | |
input_list.append(1.0) | |
input_list.append(0.0) | |
elif sex == 'male': | |
input_list.append(0.0) | |
input_list.append(1.0) | |
else: | |
print("ERROR!") | |
exit() | |
if embarked == "C": | |
input_list.append(1.0) | |
input_list.append(0.0) | |
input_list.append(0.0) | |
elif embarked == "Q": | |
input_list.append(0.0) | |
input_list.append(1.0) | |
input_list.append(0.0) | |
elif embarked == "S": | |
input_list.append(0.0) | |
input_list.append(0.0) | |
input_list.append(1.0) | |
else: | |
print("ERROR!") | |
exit() | |
if age < 18: | |
input_list.append(1.0) | |
elif age < 55: | |
input_list.append(2.0) | |
else: | |
input_list.append(3.0) | |
input_list.append(sibsp) | |
input_list.append(parch) | |
input_list.append(fare) | |
input_list.append(pclass) | |
incident = model.predict(np.asarray(input_list).reshape(1, -1)) | |
incident_url = "https://raw.githubusercontent.com/Hope-Liang/ID2223Project/main/images/" + incident[0] + ".png" | |
img = Image.open(requests.get(incident_url, stream=True).raw) | |
return img | |
demo = gr.Interface( | |
fn=incident, | |
title="Incident Predictive Analytics", | |
description="Experiment with incident features/attributes to predict what kind of incident category took place.", | |
allow_flagging="never", | |
inputs=[ | |
gr.inputs.Textbox(default="Saturday", label="Incident Day of Week (Saturday, Sunday etc...)"), | |
gr.inputs.Textbox(default="Il", label="Report Type Code (Il, IS, Vl, VS)"), | |
gr.inputs.Number(default="Northern", label="Police District (Northern, Bayview, Southern, Mission, Ingleside, Tenderloin, Taraval, Central, Richmond, Park)"), | |
gr.inputs.Number(default=1.0, label="latitude"), | |
gr.inputs.Number(default=1.0, label="longitude"), | |
gr.inputs.Number(default=2023, label="Incident Year (e.g 2019)"), | |
gr.inputs.Number(default=1, label="Incident Month (1-12)"), | |
gr.inputs.Number(default=1, label="Incident Hour (0-23)"), | |
], | |
outputs=gr.Image(type="pil")) | |
demo.launch() |