Update app.py

app.py

@@ -5,6 +5,7 @@ model_checkpoint = "MuntasirHossain/RoBERTa-base-finetuned-emotion"
 
 model = pipeline("text-classification", model=model_checkpoint)
 
+
 def classify(text):
     label = model(text)[0]["label"]
     return label
@@ -13,13 +14,36 @@ description = "This AI model is trained to classify texts expressing human emoti
 title = "Xoxo's Texts Expressing Emotion"
 examples = [["He is very happy Today",
              "NOTE Free Palestien"]]
-            
+
+theme = {
+    "container": {
+        "background-color": "#007bff",
+        "color": "#fff",
+        "padding": "20px",
+    },
+    "textbox": {
+        "background-color": "#fff",
+        "border-radius": "5px",
+        "padding": "10px",
+        "margin-bottom": "10px",
+    },
+    "button": {
+        "background-color": "#007bff",
+        "color": "#fff",
+        "padding": "10px",
+        "border-radius": "5px",
+        "cursor": "pointer",
+    },
+    "label": {
+        "color": "#fff",
+    },
+}
 
 gr.Interface(fn=classify,
     inputs="textbox",
     outputs="text",
     title=title,
-    theme="dark",
+    theme=theme,
     description=description,
     examples=examples,
 ).launch()