Update app.py

app.py

@@ -456,8 +456,8 @@ class GradioChatApp:
             prompt = gr.State()
 
             gr.Markdown(title_markdown)
-            # with gr.Row():
-            #     gr.Image("resources/download.png", width=64, height=64)
+            with gr.Row():
+                gr.Markdown(f"**Quick start:** Enter the abstract of your paper and press send!")
             with gr.Accordion("How to use (click to expand)", open=False):
                 gr.Markdown(
                     """ 
@@ -485,19 +485,21 @@ class GradioChatApp:
 
                     with gr.Accordion("Ranking Parameters", open=False) as parameter_row:
                         # https://platform.openai.com/docs/models/overview
-                        model_name = gr.Dropdown(["gpt-3.5-turbo", "gpt-4", "gpt-4-32k", "gpt-4-1106-preview"], value="gpt-4", interactive=True,  label="Model") # scale=1, min_width=0
-                        num_papers = gr.Slider(minimum=1, maximum=10, value=4, step=1, interactive=True, label="Cite # papers")
-                        sort_by = gr.Dropdown(["Relevance", "Citations", "Year"], value="Relevance", interactive=True,  label="Sort by") # scale=1, min_width=0
-                        llm_rerank = gr.Radio(choices=["True", "False"], value="True", interactive=True, label="LLM Re-rank (May override sorting)")
+                        with gr.Row():
+                            model_name = gr.Dropdown(["gpt-3.5-turbo", "gpt-4", "gpt-4-32k", "gpt-4-1106-preview"], value="gpt-4", interactive=True,  label="Model", scale=1) # scale=1, min_width=0
+                            llm_rerank = gr.Radio(choices=["True", "False"], value="True", interactive=True, label="LLM Re-rank (May override sorting)", scale=2)
+                        with gr.Row():
+                            num_papers = gr.Slider(minimum=1, maximum=10, value=4, step=1, interactive=True, label="Cite # papers",scale=1)
+                            sort_by = gr.Dropdown(["Relevance", "Citations", "Year"], value="Relevance", interactive=True,  label="Sort by", scale=2) # scale=1, min_width=0                        
                         with gr.Row():
                             temperature = gr.Slider(minimum=0.0, maximum=1.0, value=0.2, step=0.1, interactive=True, label="Temperature", scale=1)
                             max_tokens = gr.Slider(minimum=0, maximum=3000, value=500, step=64, interactive=True, label="Max output tokens", scale=2)
                     display_1 = gr.Markdown(value=f"Retrieved papers", label="Retrieved papers!", elem_id="display_mrkdwn") #, visible=True)
-                    # with gr.Accordion("Generation Parameters", open=False) as parameter_row:
-                        # top_p = gr.Slider(minimum=0.0, maximum=1.0, value=0.7, step=0.1, interactive=True, label="Top P")
 
                 with gr.Column(scale=8):
-                    chatbot = gr.Chatbot(elem_id="Chatbot", label="ReviewGPT", height=480)
+                    chatbot = gr.Chatbot(elem_id="Chatbot", label="LitLLM", height=460)
+                    with gr.Row():
+                        gr.Markdown("""**Enter your research idea here!**""")
 
             with gr.Row():
                 with gr.Column(scale=3):