Update app.py

app.py

@@ -11,8 +11,8 @@ from pytorch_grad_cam import GradCAM
 from pytorch_grad_cam.utils.model_targets import ClassifierOutputTarget
 from pytorch_grad_cam.utils.image import show_cam_on_image
 
-gr.themes.Soft()
-gr.themes.builder()
+#gr.themes.Soft()
+#gr.themes.builder()
  
 with zipfile.ZipFile("examples.zip","r") as zip_ref:
  zip_ref.extractall(".")
@@ -94,7 +94,7 @@ def predict(input_image:Image.Image, true_label:str):
 
 title = "Deepfake Image Detection"
 description = "~ AI - ML implementation for fake and real image detection technics."
-article = "<p style='text-align: center'></p>"
+article = "<p style='text-align: center'>by Dushyantsinh Jadeja</p>"
 
 interface = gr.Interface(
  fn=predict,
@@ -103,10 +103,11 @@ interface = gr.Interface(
  #"text"
  ],
  outputs=[
- gr.outputs.Label(label="Prediction Model - Fake or Real image detection") #,
+ gr.outputs.Label(label="Prediction Model - % of Fake or Real image detection"),
  #"text",
  gr.outputs.Image(label="Explainability")
  ],
+ theme = gr.themes.Soft(),
  title = title,
  description = description,
  article = article