am_i_sarcastic.py

# simple example for real world implementation. proof of concept

print('starting...')
from os import environ
environ["CUDA_VISIBLE_DEVICES"] = "-1" # disable GPU for simple prediction
from tensorflow.keras.models import load_model

print('loading model for prediction...')
model = load_model('models/full_only_comment') #load model
print('done.\n')

while True:
    print('\033[95menter your text:\033[94m ', end='')
    text = input()      # prompt for input
    if (text != ''):    # prediction crashes with empty string
        prediction = model.predict([text])[0][0]      # get prediction
        sarcasm = True if (prediction>.5) else False  # classify
        if sarcasm: print(f'\033[95m> your input was sarcasm (confidence: {int(prediction*100)}%)\033[94m\n')
        else: print(f'\033[95m> your input was not sarcasm (confidence: {int((1-prediction)*100)}%)\033[94m\n')