Update app.py

app.py

@@ -18,6 +18,17 @@ torch.set_num_threads(2)
 openrouter_key = os.environ.get("OPENROUTER_KEY")
 model = EmbeddingModel(use_quantized_onnx_model=True)
 
+
+# Define a custom theme
+custom_theme = gr.themes.Default(
+    primary_hue="#3498db",  # Custom primary color
+    secondary_hue="#2ecc71",  # Custom secondary color
+    font="Roboto",  # Custom font
+    font_size="16px",  # Custom font size
+    rounded_corners=True,  # Enable rounded corners
+    background_color="#f0f0f0",  # Custom background color
+)
+
 # Configure logging
 logging.basicConfig(level=logging.ERROR, format='%(asctime)s - %(levelname)s - %(message)s')
 
@@ -175,6 +186,23 @@ async def predict(message, history):
                                 except Exception:
                                     pass
 
+
+# Define a custom theme
+custom_theme = gr.themes.Default(
+    primary_hue="#3498db",  # Custom primary color
+    secondary_hue="#2ecc71",  # Custom secondary color
+    font="Roboto",  # Custom font
+    font_size="16px",  # Custom font size
+    rounded_corners=True,  # Enable rounded corners
+    background_color="#f0f0f0",  # Custom background color
+)
+
+def predict(message, history):
+    # Your predict function implementation
+    pass
+
+    
+# Apply the custom theme to the Gradio interface
 gr.ChatInterface(
     predict,
     title="Live Web Chat",
@@ -185,6 +213,7 @@ gr.ChatInterface(
         'What is the current sentiment of the Brazil election?',
         'Compare the current economies of China & India',
         'What are the new design trends in 2024',
-       
-    ]
+    ],
+    theme=custom_theme  # Apply the custom theme
+).launch()
 ).launch()