caching added
Browse files
app.py
CHANGED
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@@ -30,6 +30,8 @@ eff_net_art_model = tf.keras.models.load_model('EfficientNet_Models/EfficientNet
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cnn_model = 'CNN_model_weight/model_weights.weights.h5'
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# CNN model
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def run_cnn(img_arr):
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my_model = Sequential()
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my_model.add(Conv2D(
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@@ -63,6 +65,7 @@ def run_cnn(img_arr):
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prediction = my_model.predict(img_arr)
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return prediction
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def run_effNet(img_arr):
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try:
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resolver = tf.distribute.cluster_resolver.TPUClusterResolver()
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@@ -75,7 +78,7 @@ def run_effNet(img_arr):
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prediction = eff_net_model.predict(img_arr)
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return prediction
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-
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def run_effNet_Art(img_arr):
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try:
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resolver = tf.distribute.cluster_resolver.TPUClusterResolver()
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cnn_model = 'CNN_model_weight/model_weights.weights.h5'
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# CNN model
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+
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@st.cache_resource
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def run_cnn(img_arr):
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my_model = Sequential()
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my_model.add(Conv2D(
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prediction = my_model.predict(img_arr)
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return prediction
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@st.cache_resource
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def run_effNet(img_arr):
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try:
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resolver = tf.distribute.cluster_resolver.TPUClusterResolver()
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prediction = eff_net_model.predict(img_arr)
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return prediction
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+
@st.cache_resource
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def run_effNet_Art(img_arr):
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try:
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resolver = tf.distribute.cluster_resolver.TPUClusterResolver()
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