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import pypdfium2 as pdfium
import gradio as gr
from langchain.chat_models import ChatOpenAI
from src.summarization import (
parallel_summarization,
PARALLEL_SUMMARIZATION_MAPPING,
)
from src.legal_implications import parallel_legal_implications
from src.mailing_utils import update_email_content, construct_url
import urllib
def _file_render_helper(file):
pdf = pdfium.PdfDocument(file.name)
images = []
for page_index in range(len(pdf)):
page = pdf.get_page(page_index)
bitmap = page.render(
scale=200 / 72, # 200dpi resolution
rotation=0, # no additional rotation
# ... further rendering options
)
images.append(
(bitmap.to_pil(), f"{file.name.split('/')[-1]} Seite {page_index+1}")
)
return images
# Function to render a specific page of a PDF file as an image
def render_file(file):
images = _file_render_helper(file)
return gr.update(
value=images,
)
def render_files(files):
all_images = []
for file in files:
images = _file_render_helper(file)
all_images.extend(images)
return gr.update(
value=all_images,
)
def create_email_textbox() -> gr.Textbox:
return gr.Textbox(
label="Email Instructions",
placeholder="Write Email Instructions here.",
value=(
"Dear Recipient\n\n"
"Please find the summarization of the uploaded document below.\n\n"
"<TEXT_FROM_LLM>\n\n"
"Kind regards,\n"
"Your Legal Assistant"
),
lines=9,
)
def switch_buttons(interactive: bool):
"""This switches the buttons to interactive or not interactive.
Args:
interactive (bool): Whether the buttons should be interactive or not.
"""
return (
gr.update(
interactive=interactive,
),
gr.update(
interactive=interactive,
),
gr.update(
interactive=interactive,
),
)
def update_email_url(address: str, subject: str, email_instructions_summary: str):
body = urllib.parse.quote(email_instructions_summary)
return gr.update(link=construct_url(address=address, subject=subject, body=body))
def update_email_instructions_summary(email_wrapping_content: str, summary: str):
return gr.update(
value=update_email_content(
email_wrapping_content=email_wrapping_content, summary=summary
)
)
def load_summary_section(llm: ChatOpenAI):
"""Load the summary section
Args:
llm (ChatOpenAI): Language model.
Returns:
gr.Blocks: The summarization section
"""
with gr.Blocks(
theme="soft",
) as summary_section:
with gr.Row().style(equal_height=True):
with gr.Column(scale=1):
file_upload_summary = gr.File(
file_count="single",
file_types=[".pdf", ".txt"],
label="Upload PDF",
)
summary_parallel_button = gr.Button("Summarize", interactive=False)
clear_button = gr.Button("Clear All")
with gr.Column(scale=2):
sections_to_select = [
i for i in PARALLEL_SUMMARIZATION_MAPPING.keys() if "II." not in i
]
summary_sections_dropdown = gr.Dropdown(
sections_to_select,
value=sections_to_select,
interactive=True,
multiselect=True,
label="Sections for Summarization",
info="Select the sections you want to include in the summarization.",
)
with gr.Row().style(equal_height=True):
with gr.Column(scale=1):
summary_show_pdf = gr.Gallery(label="Uploaded PDF").style(
object_fit="contain"
)
with gr.Column(scale=1):
summary_output = gr.Textbox(label="Summary", lines=9).style(
show_copy_button=True
)
with gr.Row().style(equal_height=True):
with gr.Column(scale=1):
recipient_email_summary = gr.Textbox(
label="Recipient Email", placeholder="Enter Email"
)
subject_email_summary = gr.Textbox(
label="Subject", placeholder="Enter Subject"
)
send_email_button = gr.Button(
"TEST email", link="mailto:", interactive=False, variant="primary"
)
with gr.Column(scale=3):
email_instructions_summary = create_email_textbox()
# Once a file is uploaded, enable the summarization buttons and visualize the uploaded file
file_upload_summary.upload(
switch_buttons,
[gr.State(True)],
[summary_parallel_button, gr.State(None), gr.State(None)],
queue=False,
).then(fn=render_file, inputs=[file_upload_summary], outputs=[summary_show_pdf])
summary_parallel_button.click(
switch_buttons,
[gr.State(False)],
[summary_parallel_button, gr.State(None), gr.State(None)],
queue=False,
).then(
parallel_summarization,
[file_upload_summary, summary_sections_dropdown, gr.State([llm])],
[summary_output],
queue=False,
).then(
fn=update_email_instructions_summary,
inputs=[
email_instructions_summary,
summary_output,
],
outputs=[email_instructions_summary],
queue=False,
).then(
fn=update_email_url,
inputs=[
recipient_email_summary,
subject_email_summary,
email_instructions_summary,
],
outputs=[send_email_button],
queue=False,
).then(
switch_buttons,
[gr.State(True)],
[summary_parallel_button, send_email_button, gr.State(None)],
queue=False,
).then
# The clear button clears the dashboard
clear_button.click(lambda: None, None, summary_output, queue=False).then(
lambda: None, None, file_upload_summary, queue=False
).then(lambda: None, None, summary_show_pdf, queue=False).then(
lambda: None, None, send_email_button, queue=False
).then(
lambda: None, None, email_instructions_summary, queue=False
).then(
lambda: None, None, recipient_email_summary, queue=False
)
recipient_email_summary.input(
fn=update_email_url,
inputs=[
recipient_email_summary,
subject_email_summary,
email_instructions_summary,
],
outputs=[send_email_button],
queue=False,
)
subject_email_summary.input(
fn=update_email_url,
inputs=[
recipient_email_summary,
subject_email_summary,
email_instructions_summary,
],
outputs=[send_email_button],
queue=False,
)
return summary_section
def load_legal_implications_section(llm: ChatOpenAI, summarization_kwargs: dict = {}):
"""Load the legal implications section
Args:
llm (ChatOpenAI): Language model.
summarization_kwargs (dict, optional): Keyword arguments for the summarization. Defaults to {}.
Returns:
gr.Block: Legal Implications Section
"""
with gr.Blocks(theme="soft") as legal_implications_section:
with gr.Row().style(equal_height=True):
with gr.Column(scale=3):
file_upload_legal_implications = gr.File(
file_count="multiple",
file_types=[".pdf", ".txt"],
label="Upload PDF",
)
with gr.Column(scale=1):
extract_legal_implications_button = gr.Button(
"Extract Legal Implications", interactive=False
)
clear_legal_implications_button = gr.Button("Clear All")
with gr.Row().style(equal_height=True):
with gr.Column(scale=1):
legal_implications_show_pdf = gr.Gallery(label="Uploaded PDF").style(
object_fit="contain"
)
with gr.Column(scale=1):
legal_implications_output = gr.Textbox(
label="Legal Implications", lines=9
).style(show_copy_button=True)
with gr.Row().style(equal_height=True):
with gr.Column(scale=1):
recipiant_email_legal_implications = gr.Textbox(
label="Recipient Email", placeholder="Enter Email"
)
subject_email_legal_implications = gr.Textbox(
label="Subject", placeholder="Enter Subject"
)
send_email_button_legal_implications = gr.Button(
"Open Email", link="mailto:", interactive=False
)
with gr.Column(scale=3):
email_instructions_legal_implications = create_email_textbox()
# Once a file is uploaded, enable the summarization buttons and visualize the uploaded file
file_upload_legal_implications.upload(
switch_buttons,
[gr.State(True)],
[extract_legal_implications_button, gr.State(None), gr.State(None)],
queue=False,
).then(
fn=render_files,
inputs=[file_upload_legal_implications],
outputs=[legal_implications_show_pdf],
)
extract_legal_implications_button.click(
switch_buttons,
[gr.State(False)],
[extract_legal_implications_button, gr.State(None), gr.State(None)],
queue=False,
).then(
parallel_legal_implications,
[
file_upload_legal_implications,
gr.State([llm]),
gr.State(summarization_kwargs),
],
[legal_implications_output],
queue=False,
).then(
switch_buttons,
[gr.State(True)],
[
extract_legal_implications_button,
send_email_button_legal_implications,
gr.State(None),
],
queue=False,
)
# The clear button clears the dashboard
clear_legal_implications_button.click(
lambda: None, None, legal_implications_output, queue=False
).then(lambda: None, None, file_upload_legal_implications, queue=False).then(
lambda: None, None, legal_implications_show_pdf, queue=False
).then(
lambda: None, None, send_email_button_legal_implications, queue=False
).then(
lambda: None, None, email_instructions_legal_implications, queue=False
).then(
lambda: None, None, recipiant_email_legal_implications, queue=False
)
def run_summarization_model_gradio(
llm: ChatOpenAI,
share_gradio_via_link: bool = False,
summarization_kwargs: dict = {},
run_local: bool = False,
):
"""Run the Summarization assistant with gradio
Args:
llm (ChatOpenAI): Language model.
share_gradio_via_link (bool, optional): Whether to launch the gradio app via a public link. Defaults to False.
summarization_kwargs (dict, optional): Keyword arguments for the summarization. Defaults to {}.
run_local (bool, optional): Whether to run the gradio app locally. Defaults to False.
"""
title = "Legal Document Assistant"
description = (
f"This is a proof of concept. Don't upload any confidential documents."
)
with gr.Blocks(
theme="soft",
title=title,
) as webui:
with gr.Row().style(equal_height=True):
Header_box = generate_title(title=title, description=description)
with gr.Tab("Summarize Verdict"):
load_summary_section(llm=llm)
with gr.Tab("Legal Implications"):
load_legal_implications_section(
llm=llm, summarization_kwargs=summarization_kwargs
)
webui.queue()
if run_local:
webui.launch(share=share_gradio_via_link)
else:
basic_auth = (
"lenox",
os.environ["PROTOTYPE_PASSWORD"],
)
webui.launch(auth=basic_auth)
def generate_title(title: str, description: str):
"""THIS IS AN EXAMPLE HTML CODE FOR A TITLE"""
return gr.HTML(
(
"""
<html>
<head>
<style>
.awesome-title {
background: linear-gradient(27deg, rgba(252,92,125,1) 19%, rgba(79,70,229,1) 45%);
color: #FFFFFF;
text-align: center;
padding: 20px;
border-radius: 10px;
height: 10%;
box-shadow: 0px 0px 20px 0px rgba(0,0,0,0.1);
}
.awesome-title h1 {
font-family: 'Arial', sans-serif;
font-size: 32px;
margin: 0;
}
.awesome-title p {
font-family: 'Arial', sans-serif;
font-size: 16px;
margin: 10px 0 0;
}
</style>
</head>
<body>
"""
+ f"""
<div class="awesome-title">
<img src="https://aeiljuispo.cloudimg.io/v7/https://cdn-uploads.huggingface.co/production/uploads/64e3560ad5e75575cd641c9c/WpgaNwGDfaTMjsimt8i87.png" alt="Lenox AI" style="height: 80%; position:absolute;">
<h1>{title}</h1>
<p>{description}</p>
</div>
</body>
</html>
"""
).strip(),
)
|