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Prostate_Cancer_Detection_using_Deep_Learning_Models
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saifsunny commited on
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1 Parent(s): fdfc143

Update app.py

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  1. app.py +0 -1
app.py CHANGED
@@ -8,7 +8,6 @@ from sklearn.metrics import classification_report
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  model1 = tf.keras.models.load_model("densenet_model.h5")
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  model2 = tf.keras.models.load_model("inception_model.h5")
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  model3 = tf.keras.models.load_model("resnet_model.h5")
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- model4 = tf.keras.models.load_model("final_ensemble_model.h5")
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  # Streamlit app
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  st.title("Cancer Prediction App")
 
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  model1 = tf.keras.models.load_model("densenet_model.h5")
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  model2 = tf.keras.models.load_model("inception_model.h5")
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  model3 = tf.keras.models.load_model("resnet_model.h5")
 
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  # Streamlit app
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  st.title("Cancer Prediction App")