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app.py
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app.py
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from flask import Flask, request, render_template, jsonify
from flask_cors import CORS, cross_origin
import os
from src.classifier.pipeline.prediction import PredictionPipeline
from src.classifier.utils import decodeImage
os.putenv('LANG', 'en_US.UTF-8')
os.putenv('LC_ALL', 'en_US.UTF-8')
app = Flask(__name__)
CORS(app)
class ClientApp:
def __init__(self):
self.filename = 'inputImage.jpg'
self.classifier = PredictionPipeline(self.filename)
@app.route('/', methods=['GET'])
@cross_origin()
def home():
return render_template('index.html')
@app.route('/train', methods=['GET', 'POST'])
@cross_origin()
def trainRoute():
# os.system('python main.py')
os.system('dvc repro')
return 'Training done successfully!'
@app.route('/predict', methods=['POST'])
@cross_origin()
def predictRoute():
image = request.json['image']
decodeImage(image, clApp.filename)
result = clApp.classifier.predict()
return jsonify(result)
if __name__ == '__main__':
clApp = ClientApp()
app.run(host= '0.0.0.0', port= 8080)