edited description strategies

app.py

@@ -241,36 +241,37 @@ def interface():
                       outputs=[linguistic_entities, ling_ents_prompt, vicuna_ling_ents_chatbot])
 
         with gr.Tab("CoreNLP"):
-            gr.Markdown("""
-                        ## 📜 Step-By-Step Instructions
-
-                        - Enter a sentence for three models to process (Vicuna-7b, LLaMA-7b and GPT-3.5).
-                        - If you own an OpenAI API key, select 'Yes' in the dropdown. If you don't own one, select 'No'.
-                            - If you selected 'Yes', enter your OpenAI API Key [Link to your OpenAI keys](https://platform.openai.com/api-keys).
-                            - If you selected 'No', leave the 'OpenAI Key' field blank and continue with the rest.
-                        - Select a Task from the Dropdown.
-                        - Select a Linguistic Entity from the Dropdown.
-                        - Click 'Submit' to send your inputs to the models.
-                        - To enter a new prompt, scroll to the bottom and click 'Clear' to start again.
-
-                        ### ⏳ After you click 'Submit', the models will take a couple seconds to process your inputs. 
-                        ### 🤖 Then, the models will output the POS Tagging or Chunking in your prompt with three different strategies based on your selections!
-
-                        Note: If you get an 'Error' in the gpt-3.5 model, check the following:
-                        - Check that you entered your key correctly without any extra characters.
-                        - If you used a free key, it means you exceeded your quota from the free API Key.
-                        """)
-            
-            gr.Markdown("""
-                        ### 🛠 How each Strategy works
-
-                        - Strategy 1 - QA-Based Prompting
-                            - S1 Explanation
-                        - Strategy 2 - Instruction-Based Prompting
-                            - S2 Explanation
-                        - Strategy 3 - Structured Prompting
-                            - S3 Explanation
-                        """)
+            with gr.Row():
+                gr.Markdown("""
+                            ## 📜 Step-By-Step Instructions
+
+                            - Enter a sentence for three models to process (Vicuna-7b, LLaMA-7b and GPT-3.5).
+                            - If you own an OpenAI API key, select 'Yes' in the dropdown. If you don't own one, select 'No'.
+                                - If you selected 'Yes', enter your OpenAI API Key [Link to your OpenAI keys](https://platform.openai.com/api-keys).
+                                - If you selected 'No', leave the 'OpenAI Key' field blank and continue with the rest.
+                            - Select a Task from the Dropdown.
+                            - Select a Linguistic Entity from the Dropdown.
+                            - Click 'Submit' to send your inputs to the models.
+                            - To enter a new prompt, scroll to the bottom and click 'Clear' to start again.
+
+                            ### ⏳ After you click 'Submit', the models will take a couple seconds to process your inputs. 
+                            ### 🤖 Then, the models will output the POS Tagging or Chunking in your prompt with three different strategies based on your selections!
+
+                            Note: If you get an 'Error' in the gpt-3.5 model, check the following:
+                            - Check that you entered your key correctly without any extra characters.
+                            - If you used a free key, it means you exceeded your quota from the free API Key.
+                            """)
+                
+                gr.Markdown("""
+                            ### 🛠️ How each Strategy works
+
+                            - Strategy 1 - QA-Based Prompting
+                                - S1 Explanation
+                            - Strategy 2 - Instruction-Based Prompting
+                                - S2 Explanation
+                            - Strategy 3 - Structured Prompting
+                                - S3 Explanation
+                            """)
             
             # Inputs
             task_prompt = gr.Textbox(show_label=False, placeholder="Write a prompt and press enter")