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from datetime import datetime
import gradio as gr
import json
import time
from legal_assitr_prototype.engine.engine import SYSTEM_PROMPT, generate, generate_user_prompt
from legal_assitr_prototype.templates.nda.nda_form import NDA_TEMPLATE_PROMPT
from legal_assitr_prototype.templates.templates_sidebar import templates_sidebar
DESCRIPTION = """
# Legal Assitr PoC ⚖️ - This is a PoC for Legal Assitr
### Legal Assist is an AI tool designed to assist users in creating legal documents by leveraging artificial intelligence (AI) technology.
`retro56/zs-writer` and `retro56/legalwriter-7b-instruct`(best) perform the best but try out different models to see how they react to the same prompt.
### Built by [Ankur Debnath](https://github.com/r3tr056) with 💙
"""
MAX_MAX_NEW_TOKENS = 10
DEFAULT_MAX_NEW_TOKENS = 10
curr_date = datetime.now().strftime("%m/%d/%Y")
shared = dict()
def main():
def complete(system_prompt, effective_date, disclosing_party, receiving_party, confidential_info, obligations, term, breach, city):
form_prompt = NDA_TEMPLATE_PROMPT.format(
effective_date=effective_date,
disclosing_party=disclosing_party,
receiving_party=receiving_party,
confidential_info=confidential_info,
obligations=obligations,
term=term,
breach=breach,
city=city
)
result = generate(system_prompt=system_prompt, user_prompt=form_prompt)
result = f"""{result}"""
return result
with gr.Blocks(theme='soft') as demo:
gr.Markdown(DESCRIPTION)
with gr.Row():
with gr.Column(scale=2):
with gr.Blocks() as nda_form:
with gr.Group():
effective_date = gr.Textbox(
label="Effective Date",
placeholder=curr_date,
value=curr_date
)
city = gr.Textbox(
label="City"
)
purpose = gr.Textbox(
label="Purpose of the NDA",
placeholder="Enter the purpose of the NDA"
)
parties = gr.Textbox(
label="Parties Involved",
placeholder="Parties Involved..."
)
disclosing_party = gr.Textbox(
label="Disclosing Party",
placeholder="Disclosing Party with Address and Contact..."
)
receiving_party = gr.Textbox(
label="Receiving Party",
placeholder="Receiving Party with Address And Contact..."
)
obligations = gr.Textbox(
label="Obligations",
placeholder="Obligations"
)
mutual_or_not = gr.Textbox(
label="Mutual or One Way NDA",
placeholder="Whether the NDA is mutual or One-Way..."
)
confidential_info = gr.Textbox(
label="Confidential Information",
placeholder="Explain the Confidential Information"
)
term = gr.Textbox(
label="Term",
placeholder="How long the Confidentiality lasts",
)
breach = gr.Textbox(
label="Consequences of breach",
placeholder="Consequences of breach"
)
with gr.Group():
with gr.Accordion(label="AI Settings", open=False):
system_prompt = gr.Textbox(
label='System Prompt',
value=SYSTEM_PROMPT,
lines=5
)
max_new_tokens = gr.Slider(
label='Max new tokens',
minimum=1,
maximum=MAX_MAX_NEW_TOKENS,
step=1,
value=DEFAULT_MAX_NEW_TOKENS,
)
temp = gr.Slider(
label='Temperature',
minimum=0.1,
maximum=4.0,
step=0.1,
value=1.0,
)
top_p = gr.Slider(
label='Top-p (nucleus sampling)',
minimum=0.05,
maximum=1.0,
step=0.05,
value=0.95,
)
top_k = gr.Slider(
label='Top-k',
minimum=1,
maximum=1000,
step=1,
value=50,
)
with gr.Column(scale=4):
with gr.Row():
with gr.Tab("Raw"):
raw_editor_textbox = gr.Textbox(
label="Generated Document...",
lines=35,
elem_id='textbox-default',
elem_classes=['textbox_default_output', 'add_scrollbar'],
show_copy_button=True
)
with gr.Tab("Prettified"):
md_render_btn = gr.Button('Render')
md_editor_box = gr.Markdown()
with gr.Tab("Generated Tokens"):
shared["tokens-default"] = gr.Textbox(
show_copy_button=True,
lines=35,
label="Tokens",
elem_classes=['textbox_tokens', 'add_scrollbar', 'monospace']
)
with gr.Row():
generate_btn = gr.Button(value="Generate Content", variant='primary')
render_md = gr.Button(value="Prettify", variant='secondary')
generate_btn.click(fn=complete, inputs=[
system_prompt,
effective_date,
disclosing_party,
receiving_party,
confidential_info,
obligations,
term,
breach,
city
], outputs=[raw_editor_textbox])
demo.launch()
if __name__ == "__main__":
main() |