Update app.py

app.py

@@ -84,7 +84,7 @@ model.summary()
 model.compile(loss = 'categorical_crossentropy', optimizer = 'adam', metrics = ['accuracy'])
 
 #executing the model
-history = model.fit(train_set, validation_data = (validate_set), epochs = 5, verbose = 1)
+history = model.fit(train_set, validation_data = (validate_set), epochs = 8, verbose = 1)
 
 # plotting the loss
 plt.plot(history.history['loss'],label = 'train_loss')
@@ -140,6 +140,7 @@ import gradio as gd
 from PIL import Image
 
 css_class="""
+body{ background-color:rgb(10, 30, 75)}
 ul>li{
     text-decoration: none;
     list-style:none;
@@ -221,5 +222,5 @@ def greet_user(CTScanImage):
 
 customInput=gd.inputs.Image(label="Upload You CT Scanned Image")
 customOutput=gd.outputs.HTML(label="Your CT scan Report")
-app =  gd.Interface(fn = greet_user, inputs=customInput, outputs=customOutput,title="Lung Cancer Detection", description="Upload your CT Scan Image to know Whether You have cancer or not",css="body{ background-color:rgb(10, 30, 75)}")
-app.launch(interface="unified")
+app =  gd.Interface(fn = greet_user, inputs=customInput, outputs=customOutput,title="Lung Cancer Detection", description="Upload your CT Scan Image to know Whether You have cancer or not",css=css_class)
+app.launch()