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ui.py
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ui.py
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import sys
import urllib3
urllib3.disable_warnings()
import gradio as gr
from functools import partial
from repolya.writer import generated_text
from repolya.paper.querypapers import querypapers
from repolya.paper.qadocs import qadocs
from repolya.chat import chat_predict_openai
from repolya._log import logger_paper
from repolya._const import LOG_ROOT
_writer_log = LOG_ROOT / 'writer.log'
def chg_btn_color_if_input(_topic):
if _topic:
return gr.update(variant="primary")
else:
return gr.update(variant="secondary")
##### search/fetch/ask
def search_topic_papers(_topic, _N):
papers = []
_papers = querypapers(_topic, _N)
# print("search_topic_papers", _papers)
if _papers:
for i in sorted(_papers.keys()):
print(f"{'-'*40}\n{i}\n{'-'*40}")
for j in sorted(_papers[i].keys()):
print(f"{j}: {_papers[i][j]}")
_i = {
"title": _papers[i]['title'],
"bibtex": _papers[i]['bibtex'],
"doi": _papers[i]['doi'],
"citationCount": _papers[i]['citationCount'],
"year": _papers[i]['year'],
"url": _papers[i]['url'],
"pdf": i
}
papers.append(_i)
print("\n")
return papers
def search_topic(_topic, _N):
logger_paper.info(f"topic: '{_topic}'")
_res = []
_papers = []
if not _topic:
raise gr.Error("请先输入'研究主题'")
else:
_papers = search_topic_papers(_topic, _N)
for i in _papers:
title = i['title']
doi = i['doi']
_res.append(f"{title} [{doi}]")
logger_paper.info(f"{title} [{doi}]")
return [gr.update(choices=_res), _papers]
def find_field(pattern, text):
_txt = ""
import re
_m = re.search(pattern, text)
if _m:
_txt = _m.group(1).strip()
return _txt
def parse_bibtex_au_jo_bo(_bibtex):
_txt = []
_author = find_field(r'author\s*=\s*{(.*?)}', _bibtex)
_journal = find_field(r'journal\s*=\s*{(.*?)}', _bibtex)
_booktitle = find_field(r'booktitle\s*=\s*{(.*?)}', _bibtex)
journal = ""
if _journal and _booktitle:
if _journal.lower() == _booktitle.lower():
journal = f"Journal: {_journal}"
else:
journal = f"Journal: {_journal}, Booktitle: {_booktitle}"
_txt.append(journal)
if _author:
_txt.append(f"Author: {_author}")
return "\n\n".join(_txt)
def show_last_meta(_checkbox, _papers):
_titles = [_checkbox[-1]]
# print(_titles)
_meta = []
for i in _titles:
for j in _papers:
# i is 'title [doi]'
if j['title'] in i:
i_txt = parse_bibtex_au_jo_bo(j['bibtex'])
i_meta = f"\n[citationCount]\n{j['citationCount']}\n\n[bibtex]\n{i_txt}\n"
_meta.append(i_meta)
break
return "".join(_meta)
def fetch_selected_pdf(_checkbox, _papers):
_fp = []
if _checkbox is None:
raise gr.Error("请先选取'相关文献'")
else:
# for i in _checkbox:
# for j in _papers:
# # i is 'title [doi]'
# if j['title'] in i:
# _fp.append(j['pdf'])
for i in _papers:
_fp.append(i['pdf'])
return gr.update(value=_fp), _fp
def answer_question(_ask, _pdf):
logger_paper.info(f"ask: '{_ask}'")
_ans = "Answer to the question based on papers"
_res = qadocs(_ask, _pdf)
_ans = _res.formatted_answer
_context = _res.context
logger_paper.info(f"formatted_answer: '{_ans}'")
logger_paper.info(f"context: '{_context}'")
return _ans, _context
##### writing assistant
def auto_wa(_topic):
with open(_writer_log, 'w', encoding='utf-8') as wf:
wf.write('')
_text, _file = generated_text(_topic)
return [_text, gr.update(value=_file)]
def read_logs():
### read log
with open(_writer_log, "r") as f:
_log = f.read()
return _log
##### UI
_description = """
# Assistant
"""
with gr.Blocks(title=_description) as demo:
gr.Markdown(_description)
_papers = gr.State([])
_PDFs = gr.State([])
with gr.Tab(label = "Chat3.5"):
gr.ChatInterface(
fn=chat_predict_openai,
submit_btn="提交",
stop_btn="停止",
retry_btn="🔄 重试",
undo_btn="↩️ 撤消",
clear_btn="🗑️ 清除",
)
with gr.Tab(label="研究主题/相关文献/据文答题"):
with gr.Row():
_topic = gr.Textbox(label="研究主题")
_N = gr.Slider(5, 10, value=5, step=1, label="大约数目", info="")
search_btn = gr.Button("1.搜索")
with gr.Row(equal_height=True):
_papers_tile = gr.CheckboxGroup(label="相关文献")
_papers_meta = gr.Textbox(label="文献信息")
select_btn = gr.Button("2.获取PDF")
_downloaded_pdf = gr.File(label="已获取", file_count="single", type="file", file_types=['.pdf'], interactive=False)
_ask = gr.Textbox(label="问题")
ask_btn = gr.Button("3.提问")
_ans = gr.Textbox(label="回答")
_context = gr.Textbox(label="引文")
_topic.change(
chg_btn_color_if_input,
[_topic],
[search_btn]
)
search_btn.click(
search_topic,
[_topic, _N],
[_papers_tile, _papers]
)
_papers_tile.change(
chg_btn_color_if_input,
[_papers_tile],
[select_btn]
)
_papers_tile.select(
show_last_meta,
[_papers_tile, _papers],
[_papers_meta]
)
select_btn.click(
fetch_selected_pdf,
[_papers_tile, _papers],
[_downloaded_pdf, _PDFs]
)
_ask.change(
chg_btn_color_if_input,
[_ask],
[ask_btn]
)
ask_btn.click(
answer_question,
[_ask, _PDFs],
[_ans, _context]
)
with gr.Tab(label = "写作助手"):
with gr.Row(equal_height=True):
wa_topic = gr.Textbox(label="主题", placeholder="Topic", lines=8, max_lines=8, interactive=True, visible=True)
download_box = gr.File(label="下载", file_count="single", type="file", file_types=['.md'], interactive=False)
# wa_file = gr.File(label="Generated Files", file_count="multiple", type="file", interactive=False, visible=True)
wa_start_btn = gr.Button("开始", variant="secondary", visible=True)
wa_txt = gr.Textbox(label="Markdown", placeholder="...", lines=10, max_lines=10, interactive=False, visible=True)
wa_steps = gr.Textbox(label="log", placeholder="...", lines=15, max_lines=15, interactive=False, visible=True)
wa_topic.change(
chg_btn_color_if_input,
[wa_topic],
[wa_start_btn]
)
wa_start_btn.click(
auto_wa,
[wa_topic],
[wa_txt, download_box]
)
wa_start_btn.click(
read_logs,
[],
[wa_steps],
every=1
)
# from fastapi import FastAPI, Response
# import json
# app = FastAPI()
# @app.get("/health")
# def index():
# return {"message": "active"}
# app = gr.mount_gradio_app(app, demo.queue(), path="/")
## uvicorn ui_cn_pa:app --reload
if __name__ == "__main__":
import sys
if len(sys.argv) > 1:
_port = int(sys.argv[1])
else:
_port = 7788
demo.queue(concurrency_count=1).launch(
server_name="0.0.0.0",
server_port=_port,
share=False,
favicon_path="./asset/favicon_assistant.png",
# auth = ('sz','1123'),
# auth_message= "欢迎回来!",
ssl_verify=False,
# ssl_keyfile="./localhost+2-key.pem",
# ssl_certfile="./localhost+2.pem",
# ssl_keyfile="./ssl/key.pem",
# ssl_certfile="./ssl/cert.pem",
)
# import uvicorn
# uvicorn.run(
# app,
# host="0.0.0.0",
# port=7788,
# ssl_keyfile="./localhost+2-key.pem",
# ssl_certfile="./localhost+2.pem",
# reload=True,
# debug=True
# )