10
11
12def clean_graph_dir():
13    os.system("rm -rf /home/linuxsagar/PycharmProjects/FruitClassifierTesting/FCTesting/static/histo.png")14
15
16def make_histogram(i_hist, i_hufe, i_ehfe, i_hhfe, dataDir):

11    # shutil.rmtree('/home/linuxsagar/PycharmProjects/FruitClassifierTesting/graphs/')
12    # os.mkdir('')
13    # os.remove()
14    os.system("rm -rf /home/linuxsagar/PycharmProjects/FruitClassifierTesting/FCTesting/static/histo.png")

60        probability = np.amax(classifier.predict_proba(_new_features))
61
62        # Call method to generate histogram image
63        make_histogram(_custom_image.histogram(), _newHhfe, _newEhfe, _newHaarfe, dataDir)64
65        # The Final result to view
66        result = [

64
65        # The Final result to view
66        result = [
67            f"The given input is classified as: {classifier.predict(_new_features)[0]}.",68            f"Probability of prediction: {probability:.1}%"]
69
70        return [result, hue_data, edge_data, haar_data]

37def predict():
38    data = predictor()
39    MainServices.clean_dir()
40    return render_template('index.html', result=data[0], hue=data[1], edge=data[2], haar=data[3])41
42
43@app.errorhandler(Exception)