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import scipy | |
import gradio as gr | |
import numpy as np | |
import tensorflow as tf | |
from tensorflow import keras | |
from keras.models import load_model | |
def cnn_model_binary(image): | |
loaded_cnn_model = load_model("cnn_model_binary.h5") | |
prediction = loaded_cnn_model.predict(np.asarray([image])) | |
return "NO" if prediction[0][0] != 1 else "YES" | |
input_image = gr.inputs.Image(shape=(28, 28), image_mode='L') | |
output_label = gr.outputs.Textbox(label="Is the digit 1?") | |
gr.Interface(fn=cnn_model_binary, inputs = input_image, outputs = output_label, title = "Predict whether the digit is 1 or not").launch(debug=True) |