import gradio as gr import copy import datasets STYLE = """ .main { width: 90% !important; margin: 0 auto; /* Center the container */ } .small-font{ font-size: 12pt !important; } .small-font:hover { font-size: 20px !important; transition: font-size 0.3s ease-out; transition-delay: 0.8s; } .group { padding-left: 10px; padding-right: 10px; padding-bottom: 10px; border: 2px dashed gray; border-radius: 20px; box-shadow: 5px 3px 10px 1px rgba(0, 0, 0, 0.4) !important; } .accordion > button > span{ font-size: 12pt !important; } .accordion { border-style: dashed !important; border-left-width: 2px !important; border-bottom-width: 2.5px !important; border-top: none !important; border-right: none !important; box-shadow: none !important; } .no-gap { gap: 0px; } .no-radius { border-radius: 0px; } #search_input > label > span { display: none; } """ dataset_repo_id = "chansung/auto-paper-qa2" ds = datasets.load_dataset(dataset_repo_id) title2qna = {} date2qna = {} longest_qans = 0 def count_nans(row): count = 0 for _, (k, v) in enumerate(data.items()): if v is None: count = count + 1 return count for data in ds["train"]: date = data["target_date"].strftime("%Y-%m-%d") if date in date2qna: papers = copy.deepcopy(date2qna[date]) for paper in papers: if paper["title"] == data["title"]: if count_nans(paper) > count_nans(data): date2qna[date].remove(paper) date2qna[date].append(data) del papers else: date2qna[date] = [data] for date in date2qna: papers = date2qna[date] for paper in papers: title2qna[paper["title"]] = paper titles = title2qna.keys() sorted_dates = sorted(date2qna.keys()) last_date = sorted_dates[-1] last_papers = date2qna[last_date] selected_paper = last_papers[0] def get_papers(date): papers = [paper["title"] for paper in date2qna[date]] return gr.Dropdown( papers, value=papers[0] ) def set_paper(date, paper_title): selected_paper = None for paper in date2qna[date]: if paper["title"] == paper_title: selected_paper = paper break return ( gr.Markdown(f"# {selected_paper['title']}"), gr.Markdown(selected_paper["summary"]), gr.Markdown(f"## 🙋 {selected_paper['0_question']}"), gr.Markdown(f"↪ **(ELI5)** {selected_paper['0_answers:eli5']}"), gr.Markdown(f"↪ **(Technical)** {selected_paper['0_answers:expert']}"), gr.Markdown(f"## 🙋🙋 {selected_paper['0_additional_depth_q:follow up question']}"), gr.Markdown(f"↪ **(ELI5)** {selected_paper['0_additional_depth_q:answers:eli5']}"), gr.Markdown(f"↪ **(Technical)** {selected_paper['0_additional_depth_q:answers:expert']}"), gr.Markdown(f"## 🙋🙋 {selected_paper['0_additional_breath_q:follow up question']}"), gr.Markdown(f"↪ **(ELI5)** {selected_paper['0_additional_breath_q:answers:eli5']}"), gr.Markdown(f"↪ **(Technical)** {selected_paper['0_additional_breath_q:answers:expert']}"), gr.Markdown(f"## 🙋 {selected_paper['1_question']}"), gr.Markdown(f"↪ **(ELI5)** {selected_paper['1_answers:eli5']}"), gr.Markdown(f"↪ **(Technical)** {selected_paper['1_answers:expert']}"), gr.Markdown(f"## 🙋🙋 {selected_paper['1_additional_depth_q:follow up question']}"), gr.Markdown(f"↪ **(ELI5)** {selected_paper['1_additional_depth_q:answers:eli5']}"), gr.Markdown(f"↪ **(Technical)** {selected_paper['1_additional_depth_q:answers:expert']}"), gr.Markdown(f"## 🙋🙋 {selected_paper['1_additional_breath_q:follow up question']}"), gr.Markdown(f"↪ **(ELI5)** {selected_paper['1_additional_breath_q:answers:eli5']}"), gr.Markdown(f"↪ **(Technical)** {selected_paper['1_additional_breath_q:answers:expert']}"), gr.Markdown(f"## 🙋 {selected_paper['2_question']}"), gr.Markdown(f"↪ **(ELI5)** {selected_paper['2_answers:eli5']}"), gr.Markdown(f"↪ **(Technical)** {selected_paper['2_answers:expert']}"), gr.Markdown(f"## 🙋🙋 {selected_paper['2_additional_depth_q:follow up question']}"), gr.Markdown(f"↪ **(ELI5)** {selected_paper['2_additional_depth_q:answers:eli5']}"), gr.Markdown(f"↪ **(Technical)** {selected_paper['2_additional_depth_q:answers:expert']}"), gr.Markdown(f"## 🙋🙋 {selected_paper['2_additional_breath_q:follow up question']}"), gr.Markdown(f"↪ **(ELI5)** {selected_paper['2_additional_breath_q:answers:eli5']}"), gr.Markdown(f"↪ **(Technical)** {selected_paper['2_additional_breath_q:answers:expert']}"), ) def dumb(title): if len(title) > 10: return f"{title[:10]}..." return title def search(search_in, max_results=3): results = [] for title in titles: if len(results) > 3: break else: if search_in in title: results.append(title) return ( gr.Textbox( visible=True if len(results) > 0 else False, value=results[0] if len(results) > 0 else "" ), gr.Textbox( visible=True if len(results) > 1 else False, value=results[1] if len(results) > 1 else "" ), gr.Textbox( visible=True if len(results) > 2 else False, value=results[2] if len(results) > 2 else "" ) ) UPDATE_SEARCH_RESULTS = f""" function search(searchIn, maxResults = 3) {{ if (searchIn.trim().length > 0) {{ const results = []; let titles = {list(titles)}; for (const title of titles) {{ // Assuming 'titles' is an array defined elsewhere if (results.length > 3) {{ break; }} else {{ if (title.toLowerCase().includes(searchIn.toLowerCase())) {{ // JavaScript's equivalent to Python's 'in' results.push(title); }} }} }} // Handle UI elements (Explanation below) const resultElements = [1, 2, 3].map(index => {{ return results[index - 1] || ''; }}); if (resultElements[0] == '') {{ document.getElementById('search_r1').style.display = 'none'; }} else {{ document.getElementById('search_r1').style.display = 'block'; }} if (resultElements[1] == '') {{ document.getElementById('search_r2').style.display = 'none'; }} else {{ document.getElementById('search_r2').style.display = 'block'; }} if (resultElements[2] == '') {{ document.getElementById('search_r3').style.display = 'none'; }} else {{ document.getElementById('search_r3').style.display = 'block'; }} return resultElements; }} else {{ document.getElementById('search_r1').style.display = 'none'; document.getElementById('search_r2').style.display = 'none'; document.getElementById('search_r3').style.display = 'none'; return ['', '', ''] }} }} """ def set_date(title): paper = title2qna[title] date = paper["target_date"].strftime("%Y-%m-%d") return date def set_papers(date, title): papers = [paper["title"] for paper in date2qna[date]] return ( gr.Dropdown(choices=papers, value=title), gr.Textbox("") ) with gr.Blocks(css=STYLE) as demo: with gr.Row(): date_dd = gr.Dropdown( sorted_dates, value=last_date, label="Select date", interactive=True, scale=3, ) papers_dd = gr.Dropdown( [paper["title"] for paper in last_papers], value=selected_paper["title"], label="Select paper title", interactive=True, scale=7, ) with gr.Column(elem_classes=["no-gap"]): search_in = gr.Textbox("", placeholder="Enter keywords to search...", elem_id="search_input") search_r1 = gr.Button(visible=False, elem_id="search_r1", elem_classes=["no-radius"]) search_r2 = gr.Button(visible=False, elem_id="search_r2", elem_classes=["no-radius"]) search_r3 = gr.Button(visible=False, elem_id="search_r3", elem_classes=["no-radius"]) search_r1.click( set_date, search_r1, date_dd ).then( set_papers, inputs=[date_dd, search_r1], outputs=[papers_dd, search_in] ) search_r2.click( set_date, search_r2, date_dd ).then( set_papers, inputs=[date_dd, search_r2], outputs=[papers_dd, search_in] ) search_r3.click( set_date, search_r3, date_dd ).then( set_papers, inputs=[date_dd, search_r3], outputs=[papers_dd, search_in] ) title = gr.Markdown(f"# {selected_paper['title']}") summary = gr.Markdown(f"{selected_paper['summary']}", elem_classes=["small-font"]) gr.Markdown("## Auto generated Questions & Answers") # 1 with gr.Column(elem_classes=["group"], visible=True) as q_0: basic_q_0 = gr.Markdown(f"## 🙋 {selected_paper['0_question']}") basic_q_eli5_0 = gr.Markdown(f"↪ **(ELI5)** {selected_paper['0_answers:eli5']}", elem_classes=["small-font"]) basic_q_expert_0 = gr.Markdown(f"↪ **(Technical)** {selected_paper['0_answers:expert']}", elem_classes=["small-font"]) with gr.Accordion("Additional question #1", open=False, elem_classes=["accordion"]) as aq_0_0: depth_q_0 = gr.Markdown(f"## 🙋🙋 {selected_paper['0_additional_depth_q:follow up question']}") depth_q_eli5_0 = gr.Markdown(f"↪ **(ELI5)** {selected_paper['0_additional_depth_q:answers:eli5']}", elem_classes=["small-font"]) depth_q_expert_0 = gr.Markdown(f"↪ **(Technical)** {selected_paper['0_additional_depth_q:answers:expert']}", elem_classes=["small-font"]) with gr.Accordion("Additional question #2", open=False, elem_classes=["accordion"]) as aq_0_1: breath_q_0 = gr.Markdown(f"## 🙋🙋 {selected_paper['0_additional_breath_q:follow up question']}") breath_q_eli5_0 = gr.Markdown(f"↪ **(ELI5)** {selected_paper['0_additional_breath_q:answers:eli5']}", elem_classes=["small-font"]) breath_q_expert_0 = gr.Markdown(f"↪ **(Technical)** {selected_paper['0_additional_breath_q:answers:expert']}", elem_classes=["small-font"]) # 2 with gr.Column(elem_classes=["group"], visible=True) as q_1: basic_q_1 = gr.Markdown(f"## 🙋 {selected_paper['1_question']}") basic_q_eli5_1 = gr.Markdown(f"↪ **(ELI5)** {selected_paper['1_answers:eli5']}", elem_classes=["small-font"]) basic_q_expert_1 = gr.Markdown(f"↪ **(Technical)** {selected_paper['1_answers:expert']}", elem_classes=["small-font"]) with gr.Accordion("Additional question #1", open=False, elem_classes=["accordion"]) as aq_1_0: depth_q_1 = gr.Markdown(f"## 🙋🙋 {selected_paper['1_additional_depth_q:follow up question']}") depth_q_eli5_1 = gr.Markdown(f"↪ **(ELI5)** {selected_paper['1_additional_depth_q:answers:eli5']}", elem_classes=["small-font"]) depth_q_expert_1 = gr.Markdown(f"↪ **(Technical)** {selected_paper['1_additional_depth_q:answers:expert']}", elem_classes=["small-font"]) with gr.Accordion("Additional question #2", open=False, elem_classes=["accordion"]) as aq_1_1: breath_q_1 = gr.Markdown(f"## 🙋🙋 {selected_paper['1_additional_breath_q:follow up question']}") breath_q_eli5_1 = gr.Markdown(f"↪ **(ELI5)** {selected_paper['1_additional_breath_q:answers:eli5']}", elem_classes=["small-font"]) breath_q_expert_1 = gr.Markdown(f"↪ **(Technical)** {selected_paper['1_additional_breath_q:answers:expert']}", elem_classes=["small-font"]) # 3 with gr.Column(elem_classes=["group"], visible=True) as q_2: basic_q_2 = gr.Markdown(f"## 🙋 {selected_paper['2_question']}") basic_q_eli5_2 = gr.Markdown(f"↪ **(ELI5)** {selected_paper['2_answers:eli5']}", elem_classes=["small-font"]) basic_q_expert_2 = gr.Markdown(f"↪ **(Technical)** {selected_paper['2_answers:expert']}", elem_classes=["small-font"]) with gr.Accordion("Additional question #1", open=False, elem_classes=["accordion"]) as aq_2_0: depth_q_2 = gr.Markdown(f"## 🙋🙋 {selected_paper['2_additional_depth_q:follow up question']}") depth_q_eli5_2 = gr.Markdown(f"↪ **(ELI5)** {selected_paper['2_additional_depth_q:answers:eli5']}", elem_classes=["small-font"]) depth_q_expert_2 = gr.Markdown(f"↪ **(Technical)** {selected_paper['2_additional_depth_q:answers:expert']}", elem_classes=["small-font"]) with gr.Accordion("Additional question #2", open=False, elem_classes=["accordion"]) as aq_2_1: breath_q_2 = gr.Markdown(f"## 🙋🙋 {selected_paper['2_additional_breath_q:follow up question']}") breath_q_eli5_2 = gr.Markdown(f"↪ **(ELI5)** {selected_paper['2_additional_breath_q:answers:eli5']}", elem_classes=["small-font"]) breath_q_expert_2 = gr.Markdown(f"↪ **(Technical)** {selected_paper['2_additional_breath_q:answers:expert']}", elem_classes=["small-font"]) date_dd.input( get_papers, date_dd, papers_dd ).then( set_paper, [date_dd, papers_dd], [ title, summary, basic_q_0, basic_q_eli5_0, basic_q_expert_0, depth_q_0, depth_q_eli5_0, depth_q_expert_0, breath_q_0, breath_q_eli5_0, breath_q_expert_0, basic_q_1, basic_q_eli5_1, basic_q_expert_1, depth_q_1, depth_q_eli5_1, depth_q_expert_1, breath_q_1, breath_q_eli5_1, breath_q_expert_1, basic_q_2, basic_q_eli5_2, basic_q_expert_2, depth_q_2, depth_q_eli5_2, depth_q_expert_2, breath_q_2, breath_q_eli5_2, breath_q_expert_2 ] ) papers_dd.change( set_paper, [date_dd, papers_dd], [ title, summary, basic_q_0, basic_q_eli5_0, basic_q_expert_0, depth_q_0, depth_q_eli5_0, depth_q_expert_0, breath_q_0, breath_q_eli5_0, breath_q_expert_0, basic_q_1, basic_q_eli5_1, basic_q_expert_1, depth_q_1, depth_q_eli5_1, depth_q_expert_1, breath_q_1, breath_q_eli5_1, breath_q_expert_1, basic_q_2, basic_q_eli5_2, basic_q_expert_2, depth_q_2, depth_q_eli5_2, depth_q_expert_2, breath_q_2, breath_q_eli5_2, breath_q_expert_2 ] ) search_in.change( inputs=[search_in], outputs=[search_r1, search_r2, search_r3], js=UPDATE_SEARCH_RESULTS, fn=None ) demo.launch(share=True)