keras_example.py

# -*- coding: utf-8 -*-
# Copyright 2018-2019 Streamlit Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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"""An example of a Keras Chart."""

import streamlit as st

from tensorflow.python.keras.layers import Conv2D, MaxPooling2D, Dense, Flatten
from tensorflow.python.keras.models import Sequential

st.title("MNIST CNN - Keras")

# build model
model = Sequential()
model.add(Conv2D(10, (5, 5), input_shape=(28, 28, 1), activation="relu"))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Flatten())
model.add(Dense(8, activation="relu"))
model.add(Dense(2, activation="softmax"))

st.write("You should see a graph of vertically connected nodes.")
st.write(model)