Update app.py

app.py

@@ -1,14 +1,84 @@
+# # import gradio as gr
+
+# # gr.load("models/vm24bho/net_dfm_myimg").launch()
+
+
 # import gradio as gr
 
-# gr.load("models/vm24bho/net_dfm_myimg").launch()
+# # Load your model (this is a placeholder; replace with your actual model loading code)
+# demo = gr.load("models/vm24bho/net_dfm_myimg")
+
+# # Customize the interface
+# css = """
+#     body { 
+#         background-color: #f5f5f5;
+#         font-family: 'Arial', sans-serif;
+#     }
+#     .container { 
+#         max-width: 800px; 
+#         margin: 0 auto; 
+#         padding: 20px; 
+#         background-color: #ffffff; 
+#         border-radius: 10px; 
+#         box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); 
+#     }
+#     .header { 
+#         text-align: center; 
+#         padding-bottom: 20px; 
+#     }
+#     h1 { 
+#         color: #333333; 
+#     }
+#     p { 
+#         color: #666666; 
+#     }
+#     .gradio-container { 
+#         display: flex; 
+#         flex-direction: column; 
+#         gap: 20px; 
+#     }
+#     button { 
+#         background-color: #007bff; 
+#         color: white; 
+#         border: none; 
+#         padding: 10px 20px; 
+#         border-radius: 5px; 
+#         cursor: pointer; 
+#         font-size: 16px; 
+#     }
+#     button:hover { 
+#         background-color: #0056b3; 
+#     }
+# """
+
+# demo.launch(
+#     title="Deepfake Detection",
+#     description="A interface for interacting with the VM24BHO model.",
+#     article="""
+#         <div class="container">
+#             <div class="header">
+#                 <h1>Welcome to the VM24BHO Model Interface</h1>
+#                 <p>Use this interface to interact with the deep learning model.</p>
+#             </div>
+#             <div class="gradio-container">
+#                 <!-- Gradio interface elements will be inserted here -->
+#             </div>
+#         </div>
+#     """,
+#     css=css
+# )
+
+
+
+
 
 
 import gradio as gr
 
-# Load your model (this is a placeholder; replace with your actual model loading code)
+# Load your model (assuming the path is correct)
 demo = gr.load("models/vm24bho/net_dfm_myimg")
 
-# Customize the interface
+# Custom CSS styling
 css = """
     body { 
         background-color: #f5f5f5;
@@ -51,10 +121,10 @@ css = """
     }
 """
 
-demo.launch(
-    title="Deepfake Detection",
-    description="A interface for interacting with the VM24BHO model.",
-    article="""
+# Creating the Gradio interface
+with gr.Blocks(css=css) as demo:
+    gr.Markdown(
+        """
         <div class="container">
             <div class="header">
                 <h1>Welcome to the VM24BHO Model Interface</h1>
@@ -64,6 +134,13 @@ demo.launch(
                 <!-- Gradio interface elements will be inserted here -->
             </div>
         </div>
-    """,
-    css=css
-)
+        """
+    )
+
+    # Assuming your model has a specific input/output interface
+    # Adjust this part according to your actual model's input/output
+    gr.Interface.load("models/vm24bho/net_dfm_myimg")
+
+# Launch the Gradio interface
+demo.launch()
+