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medical_sentence_classification_system

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danielolusipe commited on Sep 23, 2022

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4de3b3f

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1 Parent(s): 221e801

Update app.py

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app.py CHANGED Viewed

@@ -56,7 +56,7 @@ def make_predictions(Input):
   # Loading in model and getting a summary of loaded model
   #skimlit_universal_sentence_encoder_model=tf.keras.models.load_model("/content/drive/MyDrive/skimlit_models/Universal_sentence_encoder_Tribrid_embedding_model")
-  skimlit_universal_sentence_encoder_model="Universal_sentence_encoder_Tribrid_embedding_model-20220920T213455Z-001"
   # Making prediction with loaded model on sample abstract
   abstract_pred_probs=skimlit_universal_sentence_encoder_model.predict(x=(abstract_line_number_one_hot,

   # Loading in model and getting a summary of loaded model
   #skimlit_universal_sentence_encoder_model=tf.keras.models.load_model("/content/drive/MyDrive/skimlit_models/Universal_sentence_encoder_Tribrid_embedding_model")
+  skimlit_universal_sentence_encoder_model=tf.keras.models.load_model("Universal_sentence_encoder_Tribrid_embedding_model-20220920T213455Z-001")
   # Making prediction with loaded model on sample abstract
   abstract_pred_probs=skimlit_universal_sentence_encoder_model.predict(x=(abstract_line_number_one_hot,