Revive/app.py at main · codexshami/Revive · GitHub

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from flask import Flask, render_template, request
import pickle
import numpy as np
from PIL import Image
from tensorflow.keras.models import load_model

app = Flask(__name__)

def predict(values, dic):
    if len(values) == 8:
        model = pickle.load(open('models/diabetes.pkl','rb'))
        values = np.asarray(values)
        return model.predict(values.reshape(1,-1))[0]

    elif len(values) == 26:
        model = pickle.load(open('models/breast_cancer.pkl','rb'))
        values = np.asarray(values)
        return model.predict(values.reshape(1,-1))[0]

    elif len(values) == 13:
        model = pickle.load(open('models/heart.pkl','rb'))
        values = np.asarray(values)
        return model.predict(values.reshape(1,-1))[0]

    elif len(values) == 18:
        model = pickle.load(open('models/kidney.pkl','rb'))
        values = np.asarray(values)
        return model.predict(values.reshape(1,-1))[0]

    elif len(values) == 10:
        model = pickle.load(open('models/liver.pkl','rb'))
        values = np.asarray(values)
        return model.predict(values.reshape(1,-1))[0]


@app.route("/")
def home():
    return render_template('home.html')

@app.route("/diabetes", methods=['GET','POST'])
def diabetesPage():
    return render_template('diabetes.html')


@app.route("/cancer", methods=['GET','POST'])
def cancerPage():
    return render_template('breast_cancer.html')


@app.route("/heart", methods=['GET','POST'])
def heartPage():
    return render_template('heart.html')


@app.route("/kidney", methods=['GET','POST'])
def kidneyPage():
    return render_template('kidney.html')


@app.route("/liver", methods=['GET','POST'])
def liverPage():
    return render_template('liver.html')


@app.route("/malaria", methods=['GET','POST'])
def malariaPage():
    return render_template('malaria.html')


@app.route("/pneumonia", methods=['GET','POST'])
def pneumoniaPage():
    return render_template('pneumonia.html')

@app.route("/predict", methods=['POST','GET'])
def predictPage():
    try:
        if request.method == 'POST':
            to_predict_dict = request.form.to_dict()
            to_predict_list = list(map(float,to_predict_dict.values()))
            pred = predict(to_predict_list,to_predict_dict)

    except:
        message = "Please enter valid Data"
        return render_template("home.html",message=message)

    return render_template('predict.html',pred=pred)


@app.route("/malariapredict", methods=['POST','GET'])
def malariapredictPage():
    if request.method == 'POST':
        try:
            if 'image' in request.files:
                img = Image.open(request.files['image'])
                img = img.resize((36,36))
                img = np.asarray(img)
                img = img.reshape((1,36,36,3))
                img = img.astype(np.float64)

                model = load_model("models/malaria.h5")
                pred = np.argmax(model.predict(img)[0])

        except:
            message = "Please upload an Image"
            return render_template('malaria.html',message=message)

    return render_template('malaria_predict.html',pred=pred)


@app.route("/pneumoniapredict", methods=['POST','GET'])
def pneumoniapredictPage():
    if request.method == 'POST':
        try:
            if 'image' in request.files:
                img = Image.open(request.files['image']).convert('L')
                img = img.resize((36,36))
                img = np.asarray(img)
                img = img.reshape((1,36,36,1))
                img = img/255.0

                model = load_model("models/pneumonia.h5")
                pred = np.argmax(model.predict(img)[0])

        except:
            message = "Please upload an Image"
            return render_template('pneumonia.html',message=message)

    return render_template('pneumonia_predict.html',pred=pred)

if __name__ == "__main__":
    app.run(debug=True)