Update app.py

app.py

@@ -107,13 +107,15 @@ def predict(input_image:Image.Image, true_label:str):
         }
     return confidences, true_label, face_with_mask
 
-title = "Deepfake Image Detection & AI Art Detector"
+title = "Deepfake Image Detection"
 description = "~ AI - ML implementation for fake and real image detection..."
 article = "<p style='text-align: center'>...</p>"
 
-#demo = gr.Interface(fn=image_classifier, inputs=gr.Image(type="pil"), outputs="label", title=title, description=description)
+demo = gr.Interface(fn=image_classifier, inputs=gr.Image(type="pil"), outputs="label", title=title, description=description)
 #demo.launch(show_api=False)
 
+#interface
+
 interface = gr.Interface(
     fn=predict,
     inputs=[
@@ -126,7 +128,15 @@ interface = gr.Interface(
         gr.outputs.Image(label="Face with Explainability", type="pil")
         #ValueError: Invalid value for parameter `type`: auto. Please choose from one of: ['numpy', 'pil', 'filepath']
     ],
+    theme = gr.themes.Soft(),
+    title = title,
+    description = description,
+    article = article
+    #examples=[[examples[i]["path"], examples[i]["label"]] for i in range(10)]
+)
 
+'''
+io2 = gr.Interface(
     fn=image_classifier,
     inputs=[
         gr.inputs.Image(label="Input Image", type="pil"),
@@ -138,10 +148,11 @@ interface = gr.Interface(
         #ValueError: Invalid value for parameter `type`: auto. Please choose from one of: ['numpy', 'pil', 'filepath']
     ],
     
-    
     theme = gr.themes.Soft(),
-    title = title,
+    title = "AI Art Detector",
     description = description,
-    article = article
-    #examples=[[examples[i]["path"], examples[i]["label"]] for i in range(10)]
+)
+'''
+gr.TabbedInterface(
+    [interface, demo], ["Deepfake Image Detection", "AI ART Detection"]
 ).launch() #share=True)