Add descriptions ctrlsum and rsp.

app.py

@@ -28,7 +28,7 @@ with gr.Blocks(css="#htext span {white-space: pre-line}") as demo:
                         ctrlsum_file = gr.File(label="Input File")
                         ctrlsum_str = gr.TextArea(label="Input String", max_lines=5)
                         with gr.Column():
-                            gr.Markdown("* Length 0 will exert no control over length.")
+                            gr.Markdown("* Set the length of text used for summarization. Length 0 will exert no control over length.")
                             # ctrlsum_file_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0)
                             # ctrlsum_file_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0)
                             ctrlsum_file_length = gr.Slider(0,300,step=50, label="Length")
@@ -61,6 +61,7 @@ with gr.Blocks(css="#htext span {white-space: pre-line}") as demo:
         # Reference String Parsing
         with gr.TabItem("Reference String Parsing"):
             with gr.Box():
+                gr.Markdown(rsp_title_md)
                 gr.Markdown(rsp_str_md)
                 with gr.Row():
                     with gr.Column():

description.py

@@ -1,4 +1,8 @@
 # Reference string parsing Markdown
+rsp_title_md = '''
+## Our Reference String Parsing tool extracts specific pieces of information from a structured citation string, such as the title, authors, and publication date.
+'''
+
 rsp_str_md = '''
 To **test on strings**, simply input one or more strings.
 '''
@@ -42,6 +46,8 @@ To **test on strings**, simply input a string.
 ctrlsum_file_md = '''
 This is the demo for **CocoSciSum**.
 
+Our Controlled Summarization tool uses advanced language models to extract key insights from your content, and condense lengthy documents and PDFs into clear, information-rich summaries.
+
 To **test on a file**, the input can be:
 
 - A txt file which contains the content to be summarized.