Update app.py

checking if strategy causes problems

app.py

@@ -71,27 +71,27 @@ def run_cnn(img_arr):
     return prediction
 
 def run_effNet(img_arr):
-    try:
-        resolver = tf.distribute.cluster_resolver.TPUClusterResolver()
-        tf.config.experimental_connect_to_cluster(resolver)
-        tf.tpu.experimental.initialize_tpu_system(resolver)
-        strategy = tf.distribute.TPUStrategy(resolver)
-    except ValueError:
-        strategy = tf.distribute.get_strategy()  
-    with strategy.scope():
-            prediction = eff_net_model.predict(img_arr)
+    # try:
+    #     resolver = tf.distribute.cluster_resolver.TPUClusterResolver()
+    #     tf.config.experimental_connect_to_cluster(resolver)
+    #     tf.tpu.experimental.initialize_tpu_system(resolver)
+    #     strategy = tf.distribute.TPUStrategy(resolver)
+    # except ValueError:
+    #     strategy = tf.distribute.get_strategy()  
+    # with strategy.scope():
+    prediction = eff_net_model.predict(img_arr)
     return prediction
  
 def run_effNet_Art(img_arr):
-    try:
-        resolver = tf.distribute.cluster_resolver.TPUClusterResolver()
-        tf.config.experimental_connect_to_cluster(resolver)
-        tf.tpu.experimental.initialize_tpu_system(resolver)
-        strategy = tf.distribute.TPUStrategy(resolver)
-    except ValueError:
-        strategy = tf.distribute.get_strategy()  
-    with strategy.scope():
-            prediction = eff_net_art_model.predict(img_arr)
+    # try:
+    #     resolver = tf.distribute.cluster_resolver.TPUClusterResolver()
+    #     tf.config.experimental_connect_to_cluster(resolver)
+    #     tf.tpu.experimental.initialize_tpu_system(resolver)
+    #     strategy = tf.distribute.TPUStrategy(resolver)
+    # except ValueError:
+    #     strategy = tf.distribute.get_strategy()  
+    # with strategy.scope():
+    prediction = eff_net_art_model.predict(img_arr)
     return prediction
 
 def pre_process_img_effNet(image):