Update app.py

app.py

@@ -137,11 +137,11 @@ with gr.Blocks(theme="Nymbo/Alyx_Theme") as demo:
         # load_sample = gr.Button("Alternatively, Load and Index [Attention Is All You Need.pdf] as a Sample")
         load_sample = gr.Button("Load and Index the following three papers as a RAG Demo")
         sample_description = gr.Markdown("""
-## 1. Attention Is All You Need (Vaswani et al., 2017)
+# 1. Attention Is All You Need (Vaswani et al., 2017)
 This groundbreaking paper introduced the **Transformer** architecture. It revolutionized natural language processing by enabling parallelization and significantly improving performance on tasks like translation, leading to models like *BERT* and *GPT*.
-## 2. Generative Adversarial Nets (Goodfellow et al., 2014)
+# 2. Generative Adversarial Nets (Goodfellow et al., 2014)
 This paper proposed **GANs**, a novel framework for generative modeling using two neural networks—a generator and a discriminator—that compete in a zero-sum game.  
-## 3. Parameter-Efficient Transfer Learning for NLP (Houlsby et al., 2019)
+# 3. Parameter-Efficient Transfer Learning for NLP (Houlsby et al., 2019)
 This paper introduces **adapter modules**, a method for fine-tuning large pre-trained language models with significantly fewer parameters.
 
 It could take several minutes to load and index the files.