Update app.py

app.py

@@ -1,19 +1,7 @@
 import gradio as gr
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-# Define a custom theme
-custom_theme = gr.Interface.Theme(
-    background="linear-gradient(45deg, #EE7752, #E73C7E, #23A6D5, #23D5AB)",
-    textColor="white",
-    titleColor="white",
-    font="Arial",
-    titleFont="Arial",
-    padding="20px",
-    inputBorderWidth=2,
-    inputBorderColor="#FFFFFF",
-    outputBorderWidth=2,
-    outputBorderColor="#FFFFFF",
-)
+
 
 # Model in Hugging Hub
 tokenizer = AutoTokenizer.from_pretrained("Andresmfs/st5s-es-inclusivo")
@@ -28,12 +16,19 @@ def make_neutral(phrase):
 
     return tokenizer.decode(outputs[0], skip_special_tokens=True)
 
-iface = gr.Interface(
-    fn=make_neutral,
-    inputs="text",
-    outputs="text",
-    title="Gender-Neutralizer",
-    theme = custom_theme,
-    description="Enter a gendered phrase and get it converted into neutral form."
+theme = gr.themes.Default(primary_hue="blue").set(
+    loader_color="#FF0000",
+    slider_color="#FF0000",
 )
-iface.launch()
+
+with gr.Blocks(theme=theme) as demo:
+    
+    iface = gr.Interface(
+        fn=make_neutral,
+        inputs="text",
+        outputs="text",
+        title="Gender-Neutralizer",
+        theme = custom_theme,
+        description="Enter a gendered phrase and get it converted into neutral form."
+    )
+    iface.launch()