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import gradio as gr
import torch
from score_fincat import score_fincat
from sus_fls import get_sustainability,fls
from Cuad_others import quad,summarize_text,fin_ner
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def load_questions():
questions = []
with open('questionshort.txt') as f:
questions = f.readlines()
return questions
questions = load_questions()
def con(file):
with open(file.name) as f:
text = f.read()
return text
def mainFun(query,file):
text=''
with open(file.name) as f:
text = f.read()
answer,answer_p=quad(query,file.name)
return text,answer_p,summarize_text(answer)
demo = gr.Blocks()
with demo:
txt_file = gr.File(label='CONTRACT')
text = gr.Textbox(lines=10)
selected_ques=gr.Dropdown(choices=questions,label='SEARCH QUERY')
b1 = gr.Button("Analyze File")
answer = gr.Textbox(lines=2)
summarize = gr.Textbox(lines=2)
b1.click(mainFun, inputs=[selected_ques,txt_file], outputs=[text,answer,summarize])
demo.launch() |