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import gradio as gr
import time
from arxiv_agent import *
agent = ArxivAgent()
def set_profile(name):
# Simulate setting the profile based on the name
# Replace with actual logic to fetch and set profile
names = name.split(" ")
for n in names:
if len(n) == 0:
gr.Info("Please input standard name format.")
return None
elif n[0].islower():
gr.Info("Please input standard name format.")
return None
profile = agent.get_profile(name)
# import pdb
# pdb.set_trace()
return profile
def edit_profile(profile, author_name):
# names = author_name.split(" ")
# for n in names:
# if len(n) == 0:
# gr.Info("Please input standard name format.")
# return "", False
# elif n[0].islower():
# gr.Info("Please input standard name format.")
# return "", False
msg = agent.edit_profile(profile, author_name)
gr.Info("Edit profile successfully!")
return profile
def confirm_date(date, profile_input):
# Simulate fetching data based on the selected date
# data = request.get_json()
if len(profile_input) == 0:
topic, papers, idea = agent.select_date(date, None)
else:
topic, papers, idea = agent.select_date(date, profile_input)
return topic[0], papers, idea[0]
def send_text(query, profile_input):
# Simulate sending a query and receiving a response
if len(profile_input) <= 1:
Ans1, Ans2 = agent.response(query, None)
else:
Ans1, Ans2 = agent.response(query, profile_input)
return Ans1[0], Ans2[0]
def send_comment(comment):
# Simulate sending a comment
message = agent.update_comment(comment)
gr.Info("Thank you for your comment!")
return message[0]
def respond(message, chat_history, profile):
bot_message1, bot_message2 = send_text(message, profile)
# bot_message1, bot_message2 = "a", "b"
chat_history.append((message, None))
chat_history.append((bot_message1, bot_message2))
time.sleep(2)
return "", chat_history
with gr.Blocks(css="""#chat_container {height: 820px; width: 1000px; margin-left: auto; margin-right: auto;}
#chatbot {height: 600px; overflow: auto;}
#create_container {height: 750px; margin-left: 0px; margin-right: 0px;}
#tokenizer_renderer span {white-space: pre-wrap}
""",
theme="bethecloud/storj_theme",title="Arxiv Copilot") as app:
with gr.Row():
with gr.Column(scale=2):
gr.Image(
"images/arxiv_copilot.PNG", elem_id="banner-image", show_label=False
)
with gr.Column(scale=5):
gr.Markdown(
"""# Arxiv Copilot
➡️️ **Goals**: Arxiv Copilot aims to provide personalized academic service!
✨ **Guidance**:
Step (1) Enter researcher name and generate research profile in "Set your profile!"🧑💼
Step (2) Select time range and get relevant topic trend and ideas in "Get research trend and ideas!"💡
Step (3) Chat with Arxiv Copilot and choose the better response from two answers in "Chat with Arxiv Copilot!"; Here we appreciate any further feedback 🎉
⚠️ **Limitations**: We mainly provide research service related to machine learning field now, other fields will be added in the future.
🗄️ **Disclaimer**: User behavior data will be collected for the pure research purpose. If you use this demo, you may implicitly agree to these terms.
"""
)
# gr.Markdown("Provide research service using this demo.")
with gr.Accordion("Set your profile!", open=True):
gr.Markdown(
"""
You can input your name in standard format to get your profile from arxiv here. Standard examples: Yoshua Bengio. Wrong examples: yoshua bengio, Yoshua bengio, yoshua Bengio.
"""
)
with gr.Row():
with gr.Column(scale=2, min_width=300):
name_input = gr.Textbox(label="Input Your Name")
set_button = gr.Button("Set Profile")
profile_text = gr.Textbox(label="Generated Profile", interactive=True, scale=7, lines=5, max_lines=5)
edit_button = gr.Button("Edit Profile", scale=1)
set_button.click(set_profile, inputs=name_input, outputs=[profile_text])
edit_button.click(edit_profile, inputs=[profile_text, name_input], outputs=[profile_text])
with gr.Accordion("Get research trend and ideas!", open=True):
gr.Markdown(
"""
We will give you personalized research trend and ideas if you have set your profile. Otherwise, general research trend will be provided.
"""
)
with gr.Column():
with gr.Row():
with gr.Column(scale=2, min_width=300):
# gr.Dropdown(
# ["day", "week", "bird"], label="Select time range", info="Will add more animals later!"
# ),
date_choice = gr.Radio(["day", "week", "all"], label="Select Time Range", value="day")
date_button = gr.Button("Confirm")
papers_text = gr.Textbox(label="Trend Papers", interactive=False, scale=8, lines=5, max_lines=5)
with gr.Row():
topic_text = gr.Textbox(label="Topic Trend", interactive=False, scale=5, lines=7, max_lines=10)
ideas_text = gr.Textbox(label="Ideas Related to Topic Trend", interactive=False, scale=5, lines=7, max_lines=10)
date_button.click(confirm_date, inputs=[date_choice, profile_text], outputs=[topic_text, papers_text, ideas_text])
with gr.Accordion("Chat with Arxiv Copilot!", open=True):
gr.Markdown(
"""
Each time we will give you two answers. If you prefer the second answer, you can click 👍 below the second answer and the first answer will be removed. If you click 👎, the second answer will be removed.
"""
)
with gr.Column():
chatbot = gr.Chatbot()
with gr.Row():
msg = gr.Textbox(placeholder="Message Arxiv Copilot here...", scale=9, show_label=False)
send_button = gr.Button("Send",scale=1) # Adding a Send button
clear = gr.ClearButton([msg, chatbot],scale=1)
def print_like_dislike(x: gr.LikeData, chat_history):
cur_index = x.index[0]
if cur_index >= 1 and chat_history[cur_index - 1][1] is None:
if x.liked:
chat_history[cur_index - 1][1] = chat_history[cur_index][1]
agent.update_feedback_thought(chat_history[cur_index - 1][0], chat_history[cur_index][0], chat_history[cur_index][1], 0, 1)
# gr.Info("You like the second answer, and the fisrt answer will be removed.")
else:
agent.update_feedback_thought(chat_history[cur_index - 1][0], chat_history[cur_index][0], chat_history[cur_index][1], 1, 0)
chat_history[cur_index - 1][1] = chat_history[cur_index][0]
# gr.Info("You dislike the second answer, and the second answer will be removed.")
chat_history.remove(chat_history[cur_index])
else:
gr.Info("You have gave your feedback. You can ask more questions.")
return chat_history
msg.submit(respond, [msg, chatbot, profile_text], [msg, chatbot]) # Set up the action for the Send button
send_button.click(respond, inputs=[msg, chatbot, profile_text], outputs=[msg, chatbot])
chatbot.like(print_like_dislike, [chatbot], [chatbot])
with gr.Row():
comment_input = gr.Textbox(label="With Arxiv Copilot, how much time do you save to obtain the same amount of information?", scale=9, lines=3)
comment_button = gr.Button(value="Comment", scale=1)
comment_button.click(send_comment, inputs=comment_input, outputs=None)
app.launch()
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