Update app.py

app.py

@@ -64,6 +64,9 @@ dataset_info = """
 This dataset contains a subset of ArXiv papers with the "cs.LG" tag, indicating that the paper is about Machine Learning. The core dataset is filtered from the full ArXiv dataset hosted on Kaggle: [ArXiv Dataset on Kaggle](https://www.kaggle.com/datasets/Cornell-University/arxiv). The original dataset contains roughly 2 million papers, and this dataset contains approximately 100,000 papers after category filtering.
 
 The dataset is maintained by making requests to the ArXiv API. The current iteration only includes the title and abstract of each paper.
+
+**Dataset Source:** The dataset is sourced from Hugging Face: [CShorten/ML-ArXiv-Papers](https://huggingface.co/datasets/CShorten/ML-ArXiv-Papers).
+
 """
 
 
@@ -74,7 +77,22 @@ iface = gr.Interface(
     outputs="markdown",
     title="Semantic Search in ArXiv ML Papers",
     description="Enter a query to find relevant ML papers from the ArXiv dataset.",
-    article=dataset_info
+    article=dataset_info,
+    theme="huggingface",  # Use a built-in theme
+    css="""
+    body {
+        font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+        background-color: #FDF6E3;  /* Warm background color */
+        color: #333333;  /* Text color */
+    }
+    .input-textbox {
+        background-color: #FFFAF0;  /* Lighter warm input box */
+        color: #333333;  /* Input text color */
+    }
+    h1, h2, h3, h4, h5, h6 {
+        color: #D2691E;  /* Warm, inviting heading color */
+    }
+    """
 )
 
 # Launch the interface