Update app.py

app.py

@@ -7,28 +7,34 @@ from tensorflow import keras
 import time
 
 def download_model_NLP():
-    preprocessor = keras_nlp.models.GPT2CausalLMPreprocessor.from_preset(
-    "gpt2_base_en",
-    sequence_length=128,)
-    model = keras_nlp.models.GPT2CausalLM.from_preset(
-    "gpt2_base_en", preprocessor=preprocessor)
+    #preprocessor = keras_nlp.models.GPT2CausalLMPreprocessor.from_preset(
+    #"gpt2_base_en",
+    #sequence_length=128,)
+    #model = keras_nlp.models.GPT2CausalLM.from_preset(
+    #"gpt2_base_en", preprocessor=preprocessor)
     
     
-    output = "GPT2_keras_deer"
-    id_weights = "106fk9vGF_sHB8St9B2cKYE9jQVNSdKW_"
-    gdown.download(id=id_weights, output=output, quiet=False)
+    #output = "GPT2_keras_deer"
+    #id_weights = "106fk9vGF_sHB8St9B2cKYE9jQVNSdKW_"
+    #gdown.download(id=id_weights, output=output, quiet=False)
 
-    id_index = "10EWM2kJG4djpI5T6VLuj0UkGCbVIjmJx"
-    gdown.download(id=id_index, output=output, quiet=False)
+    #id_index = "10EWM2kJG4djpI5T6VLuj0UkGCbVIjmJx"
+    #gdown.download(id=id_index, output=output, quiet=False)
 
-    id_check_point = "10Et7a0EzyrnnBhMWzt6frXLiNVm8a2qz"
-    gdown.download(id=id_check_point, output=output, quiet=False)
+    #id_check_point = "10Et7a0EzyrnnBhMWzt6frXLiNVm8a2qz"
+    #gdown.download(id=id_check_point, output=output, quiet=False)
 
     #id_folder = "1zi3hSBRTP9uwHDVwQMqpGeXb8RBhJfrO"
     #gdown.download_folder(id=id_folder, quiet=True, use_cookies=False)
 
-    print(output)
-    model.load_weights(output)
+    output = "123.h5"
+    id = "1-CiBtOhzyVuiUGShONZqluey7TyX9-Y6"
+    gdown.download(id=id, output=output, quiet=False)
+    
+    
+    
+    #model.load_weights(output
+    model = tf.keras.models.load_model(output)       
     
     return model