Spaces:
Runtime error
Runtime error
- app.py +29 -34
- background.py +13 -2
- constants/styles.css +199 -0
- init.py +1 -1
- ui.py +14 -10
app.py
CHANGED
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@@ -3,7 +3,6 @@ import gradio as gr
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from init import get_secrets, initialize_data, update_dataframe
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from gen.openllm import GradioLLaMA2ChatPPManager, GradioMistralChatPPManager
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from gen.gemini_chat import GradioGeminiChatPPManager
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-
from constants.styles import STYLE
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from constants.js import (
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UPDATE_SEARCH_RESULTS, OPEN_CHAT_IF,
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CLOSE_CHAT_IF, UPDATE_CHAT_HISTORY
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@@ -31,7 +30,7 @@ last_day = sorted_day[-1]
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last_papers = date_dict[last_year][last_month][last_day]
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selected_paper = last_papers[0]
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with gr.Blocks(css=
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cur_arxiv_id = gr.Textbox(selected_paper['arxiv_id'], visible=False)
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local_data = gr.JSON({}, visible=False)
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chat_state = gr.State({
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@@ -88,14 +87,11 @@ with gr.Blocks(css=STYLE, theme=gr.themes.Soft()) as demo:
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# with gr.Row():
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with gr.Row():
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arxiv_link = gr.Markdown(
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"[](https://arxiv.org/abs/%s)" % (selected_paper['arxiv_id'], selected_paper['arxiv_id'])
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)
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"[](https://huggingface.co/papers/%s)" % selected_paper['arxiv_id'],
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elem_classes=["markdown-center"]
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)
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chat_button = gr.Button("π¬ about paper", interactive=True, elem_id="chat-button")
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summary = gr.Markdown(f"{selected_paper['summary']}", elem_classes=["small-font"])
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@@ -154,23 +150,21 @@ with gr.Blocks(css=STYLE, theme=gr.themes.Soft()) as demo:
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breath_q_eli5_2 = gr.Markdown(f"βͺ **(ELI5)** {selected_paper['2_additional_breath_q:answers:eli5']}", elem_classes=["small-font"])
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breath_q_expert_2 = gr.Markdown(f"βͺ **(Technical)** {selected_paper['2_additional_breath_q:answers:expert']}", visible=False, elem_classes=["small-font"])
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)
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gr.Markdown("The target papers are collected from [Hugging Face π€ Daily Papers](https://huggingface.co/papers) on a daily basis. "
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"The entire data is generated by [Google's Gemini 1.0](https://deepmind.google/technologies/gemini/) Pro. "
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@@ -251,7 +245,7 @@ with gr.Blocks(css=STYLE, theme=gr.themes.Soft()) as demo:
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set_paper, [year_dd, month_dd, day_dd, papers_dd],
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[
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cur_arxiv_id,
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title, arxiv_link,
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basic_q_0, basic_q_eli5_0, basic_q_expert_0,
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depth_q_0, depth_q_eli5_0, depth_q_expert_0,
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breath_q_0, breath_q_eli5_0, breath_q_expert_0,
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@@ -271,7 +265,7 @@ with gr.Blocks(css=STYLE, theme=gr.themes.Soft()) as demo:
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set_paper, [year_dd, month_dd, day_dd, papers_dd],
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[
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cur_arxiv_id,
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title, arxiv_link,
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basic_q_0, basic_q_eli5_0, basic_q_expert_0,
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depth_q_0, depth_q_eli5_0, depth_q_expert_0,
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breath_q_0, breath_q_eli5_0, breath_q_expert_0,
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@@ -284,14 +278,14 @@ with gr.Blocks(css=STYLE, theme=gr.themes.Soft()) as demo:
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depth_q_2, depth_q_eli5_2, depth_q_expert_2,
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breath_q_2, breath_q_eli5_2, breath_q_expert_2
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],
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concurrency_limit=20,
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)
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day_dd.input(get_paper_by_day, inputs=[year_dd, month_dd, day_dd], outputs=[papers_dd]).then(
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set_paper, [year_dd, month_dd, day_dd, papers_dd],
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[
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cur_arxiv_id,
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title, arxiv_link,
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basic_q_0, basic_q_eli5_0, basic_q_expert_0,
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depth_q_0, depth_q_eli5_0, depth_q_expert_0,
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breath_q_0, breath_q_eli5_0, breath_q_expert_0,
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@@ -310,7 +304,7 @@ with gr.Blocks(css=STYLE, theme=gr.themes.Soft()) as demo:
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papers_dd.change(set_paper, [year_dd, month_dd, day_dd, papers_dd],
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[
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cur_arxiv_id,
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title, arxiv_link,
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basic_q_0, basic_q_eli5_0, basic_q_expert_0,
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depth_q_0, depth_q_eli5_0, depth_q_expert_0,
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breath_q_0, breath_q_eli5_0, breath_q_expert_0,
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@@ -343,7 +337,8 @@ with gr.Blocks(css=STYLE, theme=gr.themes.Soft()) as demo:
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basic_q_eli5_0, basic_q_expert_0, depth_q_eli5_0, depth_q_expert_0, breath_q_eli5_0, breath_q_expert_0,
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basic_q_eli5_1, basic_q_expert_1, depth_q_eli5_1, depth_q_expert_1, breath_q_eli5_1, breath_q_expert_1,
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basic_q_eli5_2, basic_q_expert_2, depth_q_eli5_2, depth_q_expert_2, breath_q_eli5_2, breath_q_expert_2
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]
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)
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chat_button.click(None, [cur_arxiv_id], [local_data, chatbot], js=OPEN_CHAT_IF)
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@@ -375,7 +370,7 @@ with gr.Blocks(css=STYLE, theme=gr.themes.Soft()) as demo:
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js=UPDATE_CHAT_HISTORY
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)
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demo.load(lambda: update_dataframe(request_arxiv_repo_id), None, arxiv_queue, every=
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# demo.load(None, None, [chatbot, local_data], js=GET_LOCAL_STORAGE % idx.value)
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start_date = datetime.now() + timedelta(minutes=1)
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@@ -399,5 +394,5 @@ demo.queue(
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default_concurrency_limit=20,
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max_size=256
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).launch(
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debug=True
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)
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from init import get_secrets, initialize_data, update_dataframe
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from gen.openllm import GradioLLaMA2ChatPPManager, GradioMistralChatPPManager
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from gen.gemini_chat import GradioGeminiChatPPManager
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from constants.js import (
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UPDATE_SEARCH_RESULTS, OPEN_CHAT_IF,
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CLOSE_CHAT_IF, UPDATE_CHAT_HISTORY
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last_papers = date_dict[last_year][last_month][last_day]
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selected_paper = last_papers[0]
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with gr.Blocks(css="constants/styles.css", theme=gr.themes.Soft()) as demo:
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cur_arxiv_id = gr.Textbox(selected_paper['arxiv_id'], visible=False)
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local_data = gr.JSON({}, visible=False)
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chat_state = gr.State({
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# with gr.Row():
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with gr.Row():
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arxiv_link = gr.Markdown(
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"[](https://arxiv.org/abs/%s)" % (selected_paper['arxiv_id'], selected_paper['arxiv_id']) + " "
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"[](https://huggingface.co/papers/%s)" % selected_paper['arxiv_id'] + " ",
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elem_id="link-md",
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)
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chat_button = gr.Button("Chat about any custom questions", interactive=True, elem_id="chat-button")
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summary = gr.Markdown(f"{selected_paper['summary']}", elem_classes=["small-font"])
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breath_q_eli5_2 = gr.Markdown(f"βͺ **(ELI5)** {selected_paper['2_additional_breath_q:answers:eli5']}", elem_classes=["small-font"])
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breath_q_expert_2 = gr.Markdown(f"βͺ **(Technical)** {selected_paper['2_additional_breath_q:answers:expert']}", visible=False, elem_classes=["small-font"])
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gr.Markdown("## Request any arXiv ids")
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arxiv_queue = gr.Dataframe(
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headers=["Requested arXiv IDs"], col_count=(1, "fixed"),
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value=requested_arxiv_ids_df,
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datatype=["str"],
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interactive=False,
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)
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arxiv_id_enter = gr.Textbox(placeholder="Enter comma separated arXiv IDs...", elem_classes=["textbox-no-label"])
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arxiv_id_enter.submit(
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add_arxiv_ids_to_queue,
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[arxiv_queue, arxiv_id_enter],
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[arxiv_queue, arxiv_id_enter],
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concurrency_limit=20,
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)
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gr.Markdown("The target papers are collected from [Hugging Face π€ Daily Papers](https://huggingface.co/papers) on a daily basis. "
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"The entire data is generated by [Google's Gemini 1.0](https://deepmind.google/technologies/gemini/) Pro. "
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set_paper, [year_dd, month_dd, day_dd, papers_dd],
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[
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cur_arxiv_id,
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title, arxiv_link, summary,
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basic_q_0, basic_q_eli5_0, basic_q_expert_0,
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depth_q_0, depth_q_eli5_0, depth_q_expert_0,
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breath_q_0, breath_q_eli5_0, breath_q_expert_0,
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set_paper, [year_dd, month_dd, day_dd, papers_dd],
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[
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cur_arxiv_id,
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title, arxiv_link, summary,
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basic_q_0, basic_q_eli5_0, basic_q_expert_0,
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depth_q_0, depth_q_eli5_0, depth_q_expert_0,
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breath_q_0, breath_q_eli5_0, breath_q_expert_0,
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depth_q_2, depth_q_eli5_2, depth_q_expert_2,
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breath_q_2, breath_q_eli5_2, breath_q_expert_2
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],
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concurrency_limit=20,
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)
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day_dd.input(get_paper_by_day, inputs=[year_dd, month_dd, day_dd], outputs=[papers_dd]).then(
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set_paper, [year_dd, month_dd, day_dd, papers_dd],
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[
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cur_arxiv_id,
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title, arxiv_link, summary,
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basic_q_0, basic_q_eli5_0, basic_q_expert_0,
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depth_q_0, depth_q_eli5_0, depth_q_expert_0,
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breath_q_0, breath_q_eli5_0, breath_q_expert_0,
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papers_dd.change(set_paper, [year_dd, month_dd, day_dd, papers_dd],
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[
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cur_arxiv_id,
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title, arxiv_link, summary,
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basic_q_0, basic_q_eli5_0, basic_q_expert_0,
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depth_q_0, depth_q_eli5_0, depth_q_expert_0,
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breath_q_0, breath_q_eli5_0, breath_q_expert_0,
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basic_q_eli5_0, basic_q_expert_0, depth_q_eli5_0, depth_q_expert_0, breath_q_eli5_0, breath_q_expert_0,
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basic_q_eli5_1, basic_q_expert_1, depth_q_eli5_1, depth_q_expert_1, breath_q_eli5_1, breath_q_expert_1,
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basic_q_eli5_2, basic_q_expert_2, depth_q_eli5_2, depth_q_expert_2, breath_q_eli5_2, breath_q_expert_2
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],
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concurrency_limit=20,
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)
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chat_button.click(None, [cur_arxiv_id], [local_data, chatbot], js=OPEN_CHAT_IF)
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js=UPDATE_CHAT_HISTORY
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)
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demo.load(lambda: update_dataframe(request_arxiv_repo_id), None, arxiv_queue, every=180)
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# demo.load(None, None, [chatbot, local_data], js=GET_LOCAL_STORAGE % idx.value)
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start_date = datetime.now() + timedelta(minutes=1)
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default_concurrency_limit=20,
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max_size=256
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).launch(
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share=True, debug=True
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)
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background.py
CHANGED
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print(example)
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return example
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def process_arxiv_ids(gemini_api, hf_repo_id, req_hf_repo_id, hf_token, restart_repo_id, how_many=10):
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arxiv_ids = []
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for d in ds1['train']:
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req_arxiv_ids = d['Requested arXiv IDs']
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if len(req_arxiv_ids) > 0 and req_arxiv_ids[0] != "top":
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arxiv_ids = arxiv_ids + req_arxiv_ids
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arxiv_ids = arxiv_ids[:how_many]
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print(f"......Updating request arXiv HF Dataset repo at [{req_hf_repo_id}]")
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ds1 = ds1['train'].map(
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lambda example: _filter_function(example, [arxiv_id])
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).filter(
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lambda example: len(example['Requested arXiv IDs']) > 0
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)
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print(example)
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return example
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def _extract_arxiv_id(text):
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print(text)
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start = text.find("[") + 1
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end = text.find("]")
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# Extract the text between brackets
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if start != -1 and end != -1:
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return text[start:end]
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else:
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return text
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def process_arxiv_ids(gemini_api, hf_repo_id, req_hf_repo_id, hf_token, restart_repo_id, how_many=10):
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arxiv_ids = []
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for d in ds1['train']:
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req_arxiv_ids = d['Requested arXiv IDs']
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if len(req_arxiv_ids) > 0 and req_arxiv_ids[0] != "top":
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arxiv_ids = arxiv_ids + [_extract_arxiv_id(req_arxiv_ids[0])]
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arxiv_ids = arxiv_ids[:how_many]
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print(f"......Updating request arXiv HF Dataset repo at [{req_hf_repo_id}]")
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ds1 = ds1['train'].map(
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lambda example: _filter_function(example, [f"[{arxiv_id}] {title}"])
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).filter(
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lambda example: len(example['Requested arXiv IDs']) > 0
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)
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constants/styles.css
ADDED
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|
| 1 |
+
.main {
|
| 2 |
+
@media only screen and (min-width: 1000px) {
|
| 3 |
+
width: 70% !important;
|
| 4 |
+
margin: 0 auto; /* Center the container */
|
| 5 |
+
}
|
| 6 |
+
}
|
| 7 |
+
|
| 8 |
+
.small-font{
|
| 9 |
+
font-size: 12pt !important;
|
| 10 |
+
transition: font-size 0.4s ease-out;
|
| 11 |
+
transition-delay: 0.8s;
|
| 12 |
+
}
|
| 13 |
+
|
| 14 |
+
.small-font:hover {
|
| 15 |
+
font-size: 20px !important;
|
| 16 |
+
transition: font-size 0.3s ease-out;
|
| 17 |
+
transition-delay: 1.5s;
|
| 18 |
+
}
|
| 19 |
+
|
| 20 |
+
.group {
|
| 21 |
+
padding-top: 10px;
|
| 22 |
+
padding-left: 10px;
|
| 23 |
+
padding-right: 10px;
|
| 24 |
+
padding-bottom: 10px;
|
| 25 |
+
border: 2px dashed gray;
|
| 26 |
+
border-radius: 20px;
|
| 27 |
+
box-shadow: 5px 3px 10px 1px rgba(0, 0, 0, 0.4) !important;
|
| 28 |
+
}
|
| 29 |
+
|
| 30 |
+
.accordion > button > span{
|
| 31 |
+
font-size: 12pt !important;
|
| 32 |
+
}
|
| 33 |
+
|
| 34 |
+
.accordion {
|
| 35 |
+
border-style: dashed !important;
|
| 36 |
+
border-left-width: 2px !important;
|
| 37 |
+
border-bottom-width: 2.5px !important;
|
| 38 |
+
border-top: none !important;
|
| 39 |
+
border-right: none !important;
|
| 40 |
+
box-shadow: none !important;
|
| 41 |
+
}
|
| 42 |
+
|
| 43 |
+
.no-gap {
|
| 44 |
+
gap: 0px;
|
| 45 |
+
}
|
| 46 |
+
|
| 47 |
+
.no-radius {
|
| 48 |
+
border-radius: 0px;
|
| 49 |
+
}
|
| 50 |
+
|
| 51 |
+
.textbox-no-label > label > span {
|
| 52 |
+
display: none;
|
| 53 |
+
}
|
| 54 |
+
|
| 55 |
+
.exp-type > span {
|
| 56 |
+
display: none;
|
| 57 |
+
}
|
| 58 |
+
|
| 59 |
+
.conv-type > span {
|
| 60 |
+
display: none;
|
| 61 |
+
}
|
| 62 |
+
|
| 63 |
+
.conv-type .wrap:nth-child(3) {
|
| 64 |
+
width: 167px;
|
| 65 |
+
margin: auto;
|
| 66 |
+
}
|
| 67 |
+
|
| 68 |
+
button {
|
| 69 |
+
font-size: 10pt !important;
|
| 70 |
+
}
|
| 71 |
+
|
| 72 |
+
h3 {
|
| 73 |
+
font-size: 13pt !important;
|
| 74 |
+
}
|
| 75 |
+
|
| 76 |
+
#control-panel {
|
| 77 |
+
margin-bottom: 30px;
|
| 78 |
+
}
|
| 79 |
+
|
| 80 |
+
#chatbot {
|
| 81 |
+
background-color: white;
|
| 82 |
+
border: 1px solid #ccc;
|
| 83 |
+
padding: 20px;
|
| 84 |
+
box-shadow: 0px 5px 5px rgba(0, 0, 0, 0.3);
|
| 85 |
+
border-radius: 30px;
|
| 86 |
+
height: 80%;
|
| 87 |
+
width: 80%;
|
| 88 |
+
|
| 89 |
+
position: fixed;
|
| 90 |
+
top: 50%;
|
| 91 |
+
left: 50%;
|
| 92 |
+
transform: translate(-50%, -50%);
|
| 93 |
+
z-index: 1000; /* Or a high enough value to stay on top */
|
| 94 |
+
|
| 95 |
+
@media (max-width: 768px) { /* Adjust this breakpoint as needed */
|
| 96 |
+
width: 95%;
|
| 97 |
+
}
|
| 98 |
+
|
| 99 |
+
@media (prefers-color-scheme: dark) {
|
| 100 |
+
background-color: dimgrey;
|
| 101 |
+
}
|
| 102 |
+
}
|
| 103 |
+
|
| 104 |
+
#chat-button {
|
| 105 |
+
border-radius: 30px;
|
| 106 |
+
font-size: 13pt !important;
|
| 107 |
+
|
| 108 |
+
@media only screen and (min-width: 500px) {
|
| 109 |
+
font-size: 10pt;
|
| 110 |
+
margin: auto; /* Center the container */
|
| 111 |
+
}
|
| 112 |
+
}
|
| 113 |
+
|
| 114 |
+
#chatbot-inside {
|
| 115 |
+
height: 100% !important;
|
| 116 |
+
border-width: 1px !important;
|
| 117 |
+
border-color: lightgray !important;
|
| 118 |
+
}
|
| 119 |
+
|
| 120 |
+
#chatbot-txtbox {
|
| 121 |
+
padding-bottom: 25px;
|
| 122 |
+
}
|
| 123 |
+
|
| 124 |
+
#chatbot-bottm {
|
| 125 |
+
padding-left: 10px;
|
| 126 |
+
padding-right: 10px;
|
| 127 |
+
}
|
| 128 |
+
|
| 129 |
+
#chatbot-right-button {
|
| 130 |
+
float: right;
|
| 131 |
+
width: 20px;
|
| 132 |
+
font-size: 17pt;
|
| 133 |
+
}
|
| 134 |
+
|
| 135 |
+
#chatbot-info {
|
| 136 |
+
word-break: break-word;
|
| 137 |
+
}
|
| 138 |
+
|
| 139 |
+
#chatbot-back {
|
| 140 |
+
position: absolute; /* Stay in place even when scrolling */
|
| 141 |
+
z-index: 1000; /* Ensure it's on top of everything else */
|
| 142 |
+
width: 100%;
|
| 143 |
+
height: 100%;
|
| 144 |
+
left: 0px;
|
| 145 |
+
top: 0px;
|
| 146 |
+
|
| 147 |
+
opacity: 0;
|
| 148 |
+
visibility: hidden; /* Ensures the element is not interactive */
|
| 149 |
+
transition: opacity 0.5s ease, visibility 0s 0.5s; /* Transition for opacity and delay visibility */
|
| 150 |
+
}
|
| 151 |
+
|
| 152 |
+
#chatbot-back.visible {
|
| 153 |
+
opacity: 1;
|
| 154 |
+
visibility: visible; /* Now visible and interactive */
|
| 155 |
+
transition: opacity 0.5s ease; /* Smooth transition for opacity */
|
| 156 |
+
}
|
| 157 |
+
|
| 158 |
+
.hover-opacity {
|
| 159 |
+
opacity: 0.8; /* Normal opacity of the element */
|
| 160 |
+
transition: opacity 0.3s ease-in-out; /* Smooth opacity change */
|
| 161 |
+
}
|
| 162 |
+
|
| 163 |
+
.hover-opacity:hover {
|
| 164 |
+
opacity: 1; /* Full opacity on hover */
|
| 165 |
+
}
|
| 166 |
+
|
| 167 |
+
.markdown-center {
|
| 168 |
+
display: block;
|
| 169 |
+
text-align: center;
|
| 170 |
+
}
|
| 171 |
+
|
| 172 |
+
#link-md {
|
| 173 |
+
display: flex;
|
| 174 |
+
justify-content: space-around;
|
| 175 |
+
}
|
| 176 |
+
|
| 177 |
+
#link-md a {
|
| 178 |
+
display: inline-block;
|
| 179 |
+
vertical-align: middle;
|
| 180 |
+
}
|
| 181 |
+
|
| 182 |
+
#link-md a {
|
| 183 |
+
display: inline-block;
|
| 184 |
+
vertical-align: middle;
|
| 185 |
+
}
|
| 186 |
+
|
| 187 |
+
#link-md a:nth-child(1) {
|
| 188 |
+
margin-right: 10px;
|
| 189 |
+
@media only screen and (max-width: 1000px) {
|
| 190 |
+
margin-right: 0px;
|
| 191 |
+
}
|
| 192 |
+
}
|
| 193 |
+
|
| 194 |
+
#link-md a:nth-child(2) {
|
| 195 |
+
margin-left: 10px;
|
| 196 |
+
@media only screen and (max-width: 1000px) {
|
| 197 |
+
margin-left: 0px;
|
| 198 |
+
}
|
| 199 |
+
}
|
init.py
CHANGED
|
@@ -57,7 +57,7 @@ def _initialize_paper_info(source_ds):
|
|
| 57 |
arxivid2data[paper['arxiv_id']] = {"idx": count, "paper": paper}
|
| 58 |
date_dict[year][month][day].append(paper)
|
| 59 |
|
| 60 |
-
titles = title2qna.
|
| 61 |
|
| 62 |
return titles, date_dict, arxivid2data
|
| 63 |
|
|
|
|
| 57 |
arxivid2data[paper['arxiv_id']] = {"idx": count, "paper": paper}
|
| 58 |
date_dict[year][month][day].append(paper)
|
| 59 |
|
| 60 |
+
titles = [f"[{v['arxiv_id']}] {k}" for k, v in title2qna.items()]
|
| 61 |
|
| 62 |
return titles, date_dict, arxivid2data
|
| 63 |
|
ui.py
CHANGED
|
@@ -13,6 +13,8 @@ from gen.gemini_chat import gen_text as gemini_gen_text
|
|
| 13 |
from gen.gemini_chat import init as gemini_init
|
| 14 |
from constants.context import DEFAULT_GLOBAL_CTX
|
| 15 |
|
|
|
|
|
|
|
| 16 |
from init import (
|
| 17 |
requested_arxiv_ids_df,
|
| 18 |
date_dict,
|
|
@@ -60,7 +62,10 @@ def get_paper_by_day(year, month, day):
|
|
| 60 |
))
|
| 61 |
return gr.Dropdown(choices=papers, value=papers[0])
|
| 62 |
|
|
|
|
| 63 |
def set_papers(year, month, day, title):
|
|
|
|
|
|
|
| 64 |
papers = []
|
| 65 |
for paper in date_dict[year][month][day]:
|
| 66 |
papers.append(paper["title"])
|
|
@@ -82,15 +87,11 @@ def set_paper(year, month, day, paper_title):
|
|
| 82 |
selected_paper = paper
|
| 83 |
break
|
| 84 |
|
| 85 |
-
print(type(selected_paper['arxiv_id']))
|
| 86 |
-
|
| 87 |
return (
|
| 88 |
selected_paper['arxiv_id'],
|
| 89 |
gr.Markdown(f"# {selected_paper['title']}"),
|
| 90 |
gr.Markdown(
|
| 91 |
-
"[](https://arxiv.org/abs/%s)" % (selected_paper['arxiv_id'], selected_paper['arxiv_id'])
|
| 92 |
-
),
|
| 93 |
-
gr.Markdown(
|
| 94 |
"[](https://huggingface.co/papers/%s)" % selected_paper['arxiv_id']
|
| 95 |
),
|
| 96 |
gr.Markdown(selected_paper["summary"]),
|
|
@@ -127,6 +128,8 @@ def set_paper(year, month, day, paper_title):
|
|
| 127 |
)
|
| 128 |
|
| 129 |
def set_date(title):
|
|
|
|
|
|
|
| 130 |
for _, (year, months) in enumerate(date_dict.items()):
|
| 131 |
for _, (month, days) in enumerate(months.items()):
|
| 132 |
for _, (day, papers) in enumerate(days.items()):
|
|
@@ -195,8 +198,10 @@ def add_arxiv_ids_to_queue(queue, arxiv_ids_str):
|
|
| 195 |
valid_arxiv_ids = _filter_duplicate_arxiv_ids(valid_arxiv_ids)
|
| 196 |
|
| 197 |
if len(valid_arxiv_ids) > 0:
|
| 198 |
-
|
| 199 |
-
|
|
|
|
|
|
|
| 200 |
valid_arxiv_ids = pd.DataFrame({'Requested arXiv IDs': valid_arxiv_ids})
|
| 201 |
queue = pd.concat([queue, valid_arxiv_ids])
|
| 202 |
queue.reset_index(drop=True)
|
|
@@ -254,13 +259,12 @@ async def chat_stream(idx, local_data, user_prompt, chat_state, ctx_num_lconv=3)
|
|
| 254 |
async for result in gemini_gen_text(prompt):
|
| 255 |
ppm.append_pong(result)
|
| 256 |
yield "", ppm.build_uis(), str(ppm), gr.update(interactive=False), gr.update(interactive=False), gr.update(interactive=False)
|
| 257 |
-
|
| 258 |
yield "", ppm.build_uis(), str(ppm), gr.update(interactive=True), gr.update(interactive=True), gr.update(interactive=True)
|
| 259 |
except Exception as e:
|
| 260 |
-
print(e)
|
| 261 |
gr.Warning(str(e))
|
| 262 |
ppm.replace_last_pong("Gemini refused to answer. This happens becase there were some safety issues in the answer.")
|
| 263 |
-
yield "", ppm.build_uis(), str(ppm), gr.update(interactive=True), gr.update(interactive=True), gr.update(interactive=True)
|
| 264 |
|
| 265 |
def chat_reset(local_data, chat_state):
|
| 266 |
ppm = chat_state["ppmanager_type"].from_json(json.dumps(local_data))
|
|
|
|
| 13 |
from gen.gemini_chat import init as gemini_init
|
| 14 |
from constants.context import DEFAULT_GLOBAL_CTX
|
| 15 |
|
| 16 |
+
from paper.download import get_papers_from_arxiv_ids
|
| 17 |
+
|
| 18 |
from init import (
|
| 19 |
requested_arxiv_ids_df,
|
| 20 |
date_dict,
|
|
|
|
| 62 |
))
|
| 63 |
return gr.Dropdown(choices=papers, value=papers[0])
|
| 64 |
|
| 65 |
+
# 2307.02040
|
| 66 |
def set_papers(year, month, day, title):
|
| 67 |
+
title = title.split("]")[1].strip()
|
| 68 |
+
|
| 69 |
papers = []
|
| 70 |
for paper in date_dict[year][month][day]:
|
| 71 |
papers.append(paper["title"])
|
|
|
|
| 87 |
selected_paper = paper
|
| 88 |
break
|
| 89 |
|
|
|
|
|
|
|
| 90 |
return (
|
| 91 |
selected_paper['arxiv_id'],
|
| 92 |
gr.Markdown(f"# {selected_paper['title']}"),
|
| 93 |
gr.Markdown(
|
| 94 |
+
"[](https://arxiv.org/abs/%s)" % (selected_paper['arxiv_id'], selected_paper['arxiv_id']) + " "
|
|
|
|
|
|
|
| 95 |
"[](https://huggingface.co/papers/%s)" % selected_paper['arxiv_id']
|
| 96 |
),
|
| 97 |
gr.Markdown(selected_paper["summary"]),
|
|
|
|
| 128 |
)
|
| 129 |
|
| 130 |
def set_date(title):
|
| 131 |
+
title = title.split("]")[1].strip()
|
| 132 |
+
|
| 133 |
for _, (year, months) in enumerate(date_dict.items()):
|
| 134 |
for _, (month, days) in enumerate(months.items()):
|
| 135 |
for _, (day, papers) in enumerate(days.items()):
|
|
|
|
| 198 |
valid_arxiv_ids = _filter_duplicate_arxiv_ids(valid_arxiv_ids)
|
| 199 |
|
| 200 |
if len(valid_arxiv_ids) > 0:
|
| 201 |
+
papers = get_papers_from_arxiv_ids(valid_arxiv_ids)
|
| 202 |
+
valid_arxiv_ids = [[f"[{paper['paper']['id']}] {paper['title']}"] for paper in papers]
|
| 203 |
+
|
| 204 |
+
gr.Warning(f"Processing [{valid_arxiv_ids}]. Other requested arXiv IDs not found on this list should be already processed or being processed...")
|
| 205 |
valid_arxiv_ids = pd.DataFrame({'Requested arXiv IDs': valid_arxiv_ids})
|
| 206 |
queue = pd.concat([queue, valid_arxiv_ids])
|
| 207 |
queue.reset_index(drop=True)
|
|
|
|
| 259 |
async for result in gemini_gen_text(prompt):
|
| 260 |
ppm.append_pong(result)
|
| 261 |
yield "", ppm.build_uis(), str(ppm), gr.update(interactive=False), gr.update(interactive=False), gr.update(interactive=False)
|
| 262 |
+
|
| 263 |
yield "", ppm.build_uis(), str(ppm), gr.update(interactive=True), gr.update(interactive=True), gr.update(interactive=True)
|
| 264 |
except Exception as e:
|
|
|
|
| 265 |
gr.Warning(str(e))
|
| 266 |
ppm.replace_last_pong("Gemini refused to answer. This happens becase there were some safety issues in the answer.")
|
| 267 |
+
yield "", ppm.build_uis(), str(ppm), gr.update(interactive=True), gr.update(interactive=True), gr.update(interactive=True)
|
| 268 |
|
| 269 |
def chat_reset(local_data, chat_state):
|
| 270 |
ppm = chat_state["ppmanager_type"].from_json(json.dumps(local_data))
|