updated description

app.py

@@ -207,8 +207,12 @@ def interface():
 
         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). \n- Enter your OpenAI Api Key and click on 'Submit Key'. \n- Select a Linguistic Entity from the Dropdown. \n- Click 'Submit' to send your inputs to the models. \n- 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!")
+            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>")
 
             # Inputs
             ling_ents_prompt = gr.Textbox(show_label=False, placeholder="Write a prompt and press enter")
@@ -245,9 +249,14 @@ 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). \n- Enter your OpenAI Api Key and click on 'Submit Key'. \n- Select a Task from the Dropdown \n- Select a Linguistic Entity from the Dropdown. \n- Click 'Submit' to send your inputs to the models. \n- 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!")
+            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>")
 
             # Inputs
             task_prompt = gr.Textbox(show_label=False, placeholder="Write a prompt and press enter")