update with description

app.py

@@ -1,161 +1,162 @@
-import gradio as gr
-from description import *
-
-from reference_string_parsing import *
-from summarization import *
-from controlled_summarization import *
-
-with gr.Blocks(css="#htext span {white-space: pre-line}") as demo:
-    gr.Markdown("# Gradio Demo for SciAssist")
-    with gr.Tabs():
-        # Reference String Parsing
-        with gr.TabItem("Reference String Parsing"):
-            with gr.Box():
-                gr.Markdown(rsp_str_md)
-                with gr.Row():
-                    with gr.Column():
-                        rsp_str = gr.Textbox(label="Input String")
-                        with gr.Column():
-                            rsp_str_dehyphen = gr.Checkbox(label="dehyphen")
-                        with gr.Row():
-                            rsp_str_btn = gr.Button("Parse")
-                    rsp_str_output = gr.HighlightedText(
-                        elem_id="htext",
-                        label="The Result of Parsing",
-                        combine_adjacent=True,
-                        adjacent_separator=" ",
-                    )
-                rsp_str_examples = gr.Examples(examples=[[
-                                                         "Waleed Ammar, Matthew E. Peters, Chandra Bhagavat- ula, and Russell Power. 2017. The ai2 system at semeval-2017 task 10 (scienceie): semi-supervised end-to-end entity and relation extraction. In ACL workshop (SemEval).",
-                                                         True],
-                                                     [
-                                                         "Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, and Andrew D. McCallum. 2017. Semeval-2017 task 10 (scienceie): Extracting keyphrases and relations from scientific publications. In ACL workshop (SemEval).",
-                                                         False]], inputs=[rsp_str, rsp_str_dehyphen])
-            with gr.Box():
-                gr.Markdown(rsp_file_md)
-                with gr.Row():
-                    with gr.Column():
-                        rsp_file = gr.File(label="Input File")
-                        rsp_file_dehyphen = gr.Checkbox(label="dehyphen")
-                        with gr.Row():
-                            rsp_file_btn = gr.Button("Parse")
-
-                    rsp_file_output = gr.HighlightedText(
-                        elem_id="htext",
-                        label="The Result of Parsing",
-                        combine_adjacent=True,
-                        adjacent_separator=" ",
-                    )
-                rsp_file_examples = gr.Examples(examples=[["examples/N18-3011_ref.txt", False],["examples/BERT_paper.pdf", True]], inputs=[rsp_file, rsp_file_dehyphen])
-
-
-        rsp_file_btn.click(
-            fn=rsp_for_file,
-            inputs=[rsp_file, rsp_file_dehyphen],
-            outputs=rsp_file_output
-        )
-        rsp_str_btn.click(
-            fn=rsp_for_str,
-            inputs=[rsp_str, rsp_str_dehyphen],
-            outputs=rsp_str_output
-        )
-
-        # Single Document Summarization
-        with gr.TabItem("Summarization"):
-            with gr.Box():
-                gr.Markdown(ssum_str_md)
-                with gr.Row():
-                    with gr.Column():
-                        ssum_str = gr.Textbox(label="Input String")
-                        # with gr.Column():
-                        #     ssum_str_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0)
-                        #     ssum_str_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0)
-                        with gr.Row():
-                            ssum_str_btn = gr.Button("Generate")
-                    ssum_str_output = gr.Textbox(
-                        elem_id="htext",
-                        label="Summary",
-                    )
-                ssum_str_examples = gr.Examples(examples=[[ssum_str_example], ],
-                                                inputs=[ssum_str])
-            with gr.Box():
-                gr.Markdown(ssum_file_md)
-                with gr.Row():
-                    with gr.Column():
-                        ssum_file = gr.File(label="Input File")
-                        # with gr.Column():
-                            # ssum_file_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0)
-                            # ssum_file_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0)
-                        with gr.Row():
-                            ssum_file_btn = gr.Button("Generate")
-                    ssum_file_output = gr.Textbox(
-                        elem_id="htext",
-                        label="Summary",
-                    )
-                ssum_file_examples = gr.Examples(examples=[["examples/BERT_body.txt"],["examples/BERT_paper.pdf"]],
-                                                inputs=[ssum_file])
-
-        ssum_file_btn.click(
-            fn=ssum_for_file,
-            inputs=[ssum_file],
-            outputs=ssum_file_output
-        )
-        ssum_str_btn.click(
-            fn=ssum_for_str,
-            inputs=[ssum_str],
-            outputs=ssum_str_output
-        )
-
-        # Controlled Summarization
-        with gr.TabItem("Controlled Summarization"):
-            with gr.Box():
-                gr.Markdown(ctrlsum_str_md)
-                with gr.Row():
-                    with gr.Column():
-                        ctrlsum_str = gr.Textbox(label="Input String")
-                        with gr.Column():
-                            # ctrlsum_str_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0)
-                            # ctrlsum_str_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0)
-                            ctrlsum_str_length = gr.Slider(0, 300, step=50, label="Length")
-                            ctrlsum_str_keywords = gr.Textbox(label="Keywords")
-                        with gr.Row():
-                            ctrlsum_str_btn = gr.Button("Generate")
-                    ctrlsum_str_output = gr.Textbox(
-                        elem_id="htext",
-                        label="Summary",
-                    )
-                ctrlsum_str_examples = gr.Examples(examples=[[ssum_str_example, 50, "BERT" ], ],
-                                                inputs=[ctrlsum_str, ctrlsum_str_length, ctrlsum_str_keywords])
-            with gr.Box():
-                gr.Markdown(ctrlsum_file_md)
-                with gr.Row():
-                    with gr.Column():
-                        ctrlsum_file = gr.File(label="Input File")
-                        with gr.Column():
-                            # 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")
-                            ctrlsum_file_keywords = gr.Textbox(label="Keywords")
-                        with gr.Row():
-                            ctrlsum_file_btn = gr.Button("Generate")
-                    ctrlsum_file_output = gr.Textbox(
-                        elem_id="htext",
-                        label="Summary",
-                    )
-                ctrlsum_file_examples = gr.Examples(examples=[["examples/BERT_body.txt", 100, ""],["examples/BERT_paper.pdf", 0, "BERT"]],
-                                                inputs=[ctrlsum_file, ctrlsum_file_length, ctrlsum_file_keywords])
-
-        ctrlsum_file_btn.click(
-            fn=ctrlsum_for_file,
-            inputs=[ctrlsum_file, ctrlsum_file_length, ctrlsum_file_keywords],
-            outputs=ctrlsum_file_output
-        )
-        ctrlsum_str_btn.click(
-            fn=ctrlsum_for_str,
-            inputs=[ctrlsum_str, ctrlsum_str_length, ctrlsum_str_keywords],
-            outputs=ctrlsum_str_output
-        )
-
-
-
+import gradio as gr
+from description import *
+
+from reference_string_parsing import *
+from summarization import *
+from controlled_summarization import *
+
+with gr.Blocks(css="#htext span {white-space: pre-line}") as demo:
+    gr.Markdown("# SciAssist: Scientists' Assistant toolkit")
+    gr.Markdown("SciAssist currently supports Reference String Parsing, uncontrolled Summarization and Controlled Summarization. Github repo: https://github.com/WING-NUS/SciAssist")
+    with gr.Tabs():
+        # Reference String Parsing
+        with gr.TabItem("Reference String Parsing"):
+            with gr.Box():
+                gr.Markdown(rsp_str_md)
+                with gr.Row():
+                    with gr.Column():
+                        rsp_str = gr.Textbox(label="Input String")
+                        with gr.Column():
+                            rsp_str_dehyphen = gr.Checkbox(label="dehyphen")
+                        with gr.Row():
+                            rsp_str_btn = gr.Button("Parse")
+                    rsp_str_output = gr.HighlightedText(
+                        elem_id="htext",
+                        label="The Result of Parsing",
+                        combine_adjacent=True,
+                        adjacent_separator=" ",
+                    )
+                rsp_str_examples = gr.Examples(examples=[[
+                                                         "Waleed Ammar, Matthew E. Peters, Chandra Bhagavat- ula, and Russell Power. 2017. The ai2 system at semeval-2017 task 10 (scienceie): semi-supervised end-to-end entity and relation extraction. In ACL workshop (SemEval).",
+                                                         True],
+                                                     [
+                                                         "Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, and Andrew D. McCallum. 2017. Semeval-2017 task 10 (scienceie): Extracting keyphrases and relations from scientific publications. In ACL workshop (SemEval).",
+                                                         False]], inputs=[rsp_str, rsp_str_dehyphen])
+            with gr.Box():
+                gr.Markdown(rsp_file_md)
+                with gr.Row():
+                    with gr.Column():
+                        rsp_file = gr.File(label="Input File")
+                        rsp_file_dehyphen = gr.Checkbox(label="dehyphen")
+                        with gr.Row():
+                            rsp_file_btn = gr.Button("Parse")
+
+                    rsp_file_output = gr.HighlightedText(
+                        elem_id="htext",
+                        label="The Result of Parsing",
+                        combine_adjacent=True,
+                        adjacent_separator=" ",
+                    )
+                rsp_file_examples = gr.Examples(examples=[["examples/N18-3011_ref.txt", False],["examples/BERT_paper.pdf", True]], inputs=[rsp_file, rsp_file_dehyphen])
+
+
+        rsp_file_btn.click(
+            fn=rsp_for_file,
+            inputs=[rsp_file, rsp_file_dehyphen],
+            outputs=rsp_file_output
+        )
+        rsp_str_btn.click(
+            fn=rsp_for_str,
+            inputs=[rsp_str, rsp_str_dehyphen],
+            outputs=rsp_str_output
+        )
+
+        # Single Document Summarization
+        with gr.TabItem("General Summarization"):
+            with gr.Box():
+                gr.Markdown(ssum_str_md)
+                with gr.Row():
+                    with gr.Column():
+                        ssum_str = gr.Textbox(label="Input String")
+                        # with gr.Column():
+                        #     ssum_str_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0)
+                        #     ssum_str_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0)
+                        with gr.Row():
+                            ssum_str_btn = gr.Button("Generate")
+                    ssum_str_output = gr.Textbox(
+                        elem_id="htext",
+                        label="Summary",
+                    )
+                ssum_str_examples = gr.Examples(examples=[[ssum_str_example], ],
+                                                inputs=[ssum_str])
+            with gr.Box():
+                gr.Markdown(ssum_file_md)
+                with gr.Row():
+                    with gr.Column():
+                        ssum_file = gr.File(label="Input File")
+                        # with gr.Column():
+                            # ssum_file_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0)
+                            # ssum_file_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0)
+                        with gr.Row():
+                            ssum_file_btn = gr.Button("Generate")
+                    ssum_file_output = gr.Textbox(
+                        elem_id="htext",
+                        label="Summary",
+                    )
+                ssum_file_examples = gr.Examples(examples=[["examples/BERT_body.txt"],["examples/BERT_paper.pdf"]],
+                                                inputs=[ssum_file])
+
+        ssum_file_btn.click(
+            fn=ssum_for_file,
+            inputs=[ssum_file],
+            outputs=ssum_file_output
+        )
+        ssum_str_btn.click(
+            fn=ssum_for_str,
+            inputs=[ssum_str],
+            outputs=ssum_str_output
+        )
+
+        # Controlled Summarization
+        with gr.TabItem("Controlled Summarization"):
+            with gr.Box():
+                gr.Markdown(ctrlsum_str_md)
+                with gr.Row():
+                    with gr.Column():
+                        ctrlsum_str = gr.Textbox(label="Input String")
+                        with gr.Column():
+                            # ctrlsum_str_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0)
+                            # ctrlsum_str_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0)
+                            ctrlsum_str_length = gr.Slider(0, 300, step=50, label="Length")
+                            ctrlsum_str_keywords = gr.Textbox(label="Keywords")
+                        with gr.Row():
+                            ctrlsum_str_btn = gr.Button("Generate")
+                    ctrlsum_str_output = gr.Textbox(
+                        elem_id="htext",
+                        label="Summary",
+                    )
+                ctrlsum_str_examples = gr.Examples(examples=[[ssum_str_example, 50, "BERT" ], ],
+                                                inputs=[ctrlsum_str, ctrlsum_str_length, ctrlsum_str_keywords])
+            with gr.Box():
+                gr.Markdown(ctrlsum_file_md)
+                with gr.Row():
+                    with gr.Column():
+                        ctrlsum_file = gr.File(label="Input File")
+                        with gr.Column():
+                            # 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")
+                            ctrlsum_file_keywords = gr.Textbox(label="Keywords")
+                        with gr.Row():
+                            ctrlsum_file_btn = gr.Button("Generate")
+                    ctrlsum_file_output = gr.Textbox(
+                        elem_id="htext",
+                        label="Summary",
+                    )
+                ctrlsum_file_examples = gr.Examples(examples=[["examples/BERT_body.txt", 100, ""],["examples/BERT_paper.pdf", 0, "BERT"]],
+                                                inputs=[ctrlsum_file, ctrlsum_file_length, ctrlsum_file_keywords])
+
+        ctrlsum_file_btn.click(
+            fn=ctrlsum_for_file,
+            inputs=[ctrlsum_file, ctrlsum_file_length, ctrlsum_file_keywords],
+            outputs=ctrlsum_file_output
+        )
+        ctrlsum_str_btn.click(
+            fn=ctrlsum_for_str,
+            inputs=[ctrlsum_str, ctrlsum_str_length, ctrlsum_str_keywords],
+            outputs=ctrlsum_str_output
+        )
+
+
+
 demo.launch(share=False)