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server.py
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server.py
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import streamlit as st
from PIL import Image
import numpy as np
from flask import Flask, request, jsonify, render_template
import pickle
import json
import pandas as pd
app = Flask(__name__)
model = pickle.load(open('model.pkl', 'rb'))
labels ={
0: "setosa",
1: "versicolor",
2: "virginica"
}
@app.route('/')
def welcome():
return "Index Page"
@app.route('/predict',methods=['POST'])
def predict(sl,sw,pl,pw):
prediction=model.predict([[sl,sw,pl,pw]])
return labels[prediction[0]]
def main():
st.title("IRIS Prediction")
html_temp = """
<div style="background-color:tomato;padding:10px">
<h2 style="color:white;text-align:center;">Streamlit IRIS Predictor </h2>
</div>
"""
st.markdown(html_temp,unsafe_allow_html=True)
sl = st.text_input("Sepal Length","Type Here")
sw = st.text_input("Sepal Width","Type Here")
pl = st.text_input("Petal Length","Type Here")
pw = st.text_input("Petal Width","Type Here")
result=""
if st.button("Predict"):
result=predict(sl,sw,pl,pw)
st.success('The output is {}'.format(result))
if st.button("About"):
st.text("Lets LEarn")
st.text("Built with Streamlit")
if __name__=='__main__':
main()