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from flask import Flask, request, jsonify, render_template
from flask_cors import CORS
import numpy as np
import pandas as pd
from sklearn.linear_model import LogisticRegression
app = Flask(__name__)
app.static_folder = 'static'
app.static_url_path = '/static'
app.secret_key = "flask-nielit-2023"
CORS(app)
@app.route('/')
def iris():
return render_template("index.html")
@app.route('/irisf', methods=["POST"])
def page():
swidth=eval(request.form.get("swidth"))
sheight=eval(request.form.get("sheight"))
pwidth=eval(request.form.get("pwidth"))
pheight=eval(request.form.get("pheight"))
url="https://raw.githubusercontent.com/lovnishverma/datasets/main/iris.csv"
data=pd.read_csv(url, header=None)
flower=data.values
#Split
x=flower[:,:4]
y=flower[:,-1]
model=LogisticRegression()
model.fit(x,y)
arr=model.predict([[swidth,sheight,pwidth,pheight]])
return render_template("index.html", data=str(arr[0]))
if __name__ == '__main__':
app.run()
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