add-task-descriptions

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")
@@ -60,6 +60,7 @@ with gr.Blocks(css="#htext span {white-space: pre-line}") as demo:
                           outputs=[ctrlsum_url, ctrlsum_file_length, ctrlsum_file_keywords, ctrlsum_file])
         # Reference String Parsing
         with gr.TabItem("Reference String Parsing"):
+            gr.Markdown(rsp_title_md)
             with gr.Box():
                 gr.Markdown(rsp_str_md)
                 with gr.Row():
@@ -113,6 +114,7 @@ with gr.Blocks(css="#htext span {white-space: pre-line}") as demo:
 
         # Dataset Extraction
         with gr.TabItem("Dataset Mentions Extraction"):
+            gr.Markdown(de_title_md)
             with gr.Box():
                 gr.Markdown(de_str_md)
                 with gr.Row():

description.py

@@ -1,4 +1,8 @@
 # Reference string parsing Markdown
+rsp_title_md = '''
+## Reference String Parsing parses a citation string, extracting information 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**.
 
+## Controlled Summarization uses FLAN-T5 to generate user-customised summaries from your input file or URL link.
+
 To **test on a file**, the input can be:
 
 - A txt file which contains the content to be summarized.
@@ -52,7 +58,9 @@ To **test on a file**, the input can be:
 
 '''
 
-
+de_title_md = '''
+## Dataset Extraction detects dataset mentions from the input text.
+'''
 
 de_str_md = '''
 To **test on strings**, please input your sentences or paragraphs.