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app.py
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app.py
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from __future__ import division, print_function
# coding=utf-8
import sys
import os
import glob
import re
from pathlib import Path
from flask import Flask, redirect, url_for, request, render_template
from werkzeug.utils import secure_filename
app = Flask(__name__)
def model_predict(img_path):
"""
model_predict will return the preprocessed image
"""
img = open_image(img_path)
pred_class,pred_idx,outputs = learn.predict(img)
return pred_class
@app.route('/', methods=['GET'])
def index():
# Main page
return render_template('uploadCrop.html')
@app.route('/predict', methods=['GET', 'POST'])
def upload():
if request.method == 'POST':
# Get the file from post request
f = request.files['file']
# Save the file to ./uploads
basepath = os.path.dirname(__file__)
file_path = os.path.join(
basepath, 'uploads', secure_filename(f.filename))
f.save(file_path)
# Make prediction
preds = model_predict(file_path)
return preds
return None
if __name__ == '__main__':
app.run()