updated description and Title

app.py

@@ -182,13 +182,18 @@ def interface():
         # prompt = template_single.format(tab_name, textbox_prompt)
 
         with gr.Tab("Linguistic Entities"):
-            gr.Markdown("<h2>📜 Rules<h2>")
-            gr.Markdown("<h4>- Enter a sentence for three models to process (Vicuna-7b, LLaMA-7b and GPT-3.5).</h4>")
-            gr.Markdown("<h4>- Enter your OpenAI Api Key and click on 'Submit Key'.</h4>")
-            gr.Markdown("<h4>- Select a Linguistic Entity from the Dropdown.</h4>")
-            gr.Markdown("<h4>- Click 'Submit' to send your inputs to the models.</h4>")
-            gr.Markdown("<h4>- Scroll to the bottom and click 'Clear' to start again.</h4>")
-            gr.Markdown("<h4>🤖 Now the models will output the linguistic entities found in your prompt based on your selections!</h4>")
+            gr.Markdown(""" 
+                        ##📜 Step-By-Step Instructions
+
+                        - Enter a sentence for three models to process (Vicuna-7b, LLaMA-7b and GPT-3.5).
+                        - Enter your OpenAI Api Key and click on 'Submit Key'.
+                        - Select a Linguistic Entity from the Dropdown.
+                        - Click 'Submit' to send your inputs to the models.
+                        - Scroll to the bottom and click 'Clear' to start again.
+
+                ###🤖 Now the models will output the linguistic entities found in your prompt based on your selections!
+
+                """)
 
             # Inputs
             ling_ents_prompt = gr.Textbox(show_label=False, placeholder="Write a prompt and press enter")
@@ -225,14 +230,18 @@ def interface():
             #                     outputs=[linguistic_entities, ling_ents_prompt, gpt_ling_ents_chatbot])
 
         with gr.Tab("POS/Chunking"):
-            gr.Markdown("<h2>📜 Rules</h2>")
-            gr.Markdown("<h4>- Enter a sentence for three models to process (Vicuna-7b, LLaMA-7b and GPT-3.5).</h4>")
-            gr.Markdown("<h4>- Enter your OpenAI Api Key and click on 'Submit Key'.</h4>")
-            gr.Markdown("<h4>- Select a Task from the Dropdown.</h4>")
-            gr.Markdown("<h4>- Select a Linguistic Entity from the Dropdown.</h4>")
-            gr.Markdown("<h4>- Click 'Submit' to send your inputs to the models.</h4>")
-            gr.Markdown("<h4>- Scroll to the bottom and click 'Clear' to start again.</h4>")
-            gr.Markdown("<h4>🤖 Now the models will output the POS Tagging or Chunking in your prompt with three Strategies based on your selections!</h4>")
+            gr.Markdown("""
+                        ##📜 Step-By-Step Instructions
+
+                        - Enter a sentence for three models to process (Vicuna-7b, LLaMA-7b and GPT-3.5).
+                        - Enter your OpenAI Api Key and click on 'Submit Key'.
+                        - Select a Task from the Dropdown.
+                        - Select a Linguistic Entity from the Dropdown.
+                        - Click 'Submit' to send your inputs to the models.
+                        - Scroll to the bottom and click 'Clear' to start again.
+
+                        ### 🤖 Now the models will output the POS Tagging or Chunking in your prompt with three Strategies based on your selections!
+                        """)
 
             # Inputs
             task_prompt = gr.Textbox(show_label=False, placeholder="Write a prompt and press enter")
@@ -295,7 +304,10 @@ def interface():
             #                     outputs=[task, task_prompt, gpt_S3_chatbot])
 
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown("# LLM Evaluator With Linguistic Scrutiny")
+    gr.Markdown("""
+                # Assessing the Articulate
+                ## A Comparative Analysis of the Core Linguistic Knowledge in Large Language Models
+                """)
 
     # load interface
     interface()