| 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() | |
| answer_main='' | |
| def mainFun(query,file): | |
| text='' | |
| with open(file.name) as f: | |
| text = f.read() | |
| answer_main,answer_p=quad(query,file) | |
| return text,answer_p,summarize_text(answer_main) | |
| def mainFun2(temp): | |
| return fin_ner(temp.split('Probability:')[0]) | |
| def mainFun3(temp): | |
| return score_fincat(temp.split('Probability:')[0]) | |
| def mainFun4(temp): | |
| return get_sustainability(temp.split('Probability:')[0]) | |
| def mainFun5(temp): | |
| return fls(temp.split('Probability:')[0]) | |
| 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]) | |
| b2=gr.Button("Get NER") | |
| label_ner = gr.HighlightedText() | |
| b2.click(mainFun2,inputs=answer,outputs=label_ner) | |
| b3=gr.Button("Get CLAIM") | |
| label_claim = gr.HighlightedText() | |
| b3.click(mainFun3,inputs=answer,outputs=label_claim) | |
| b4=gr.Button("Get SUSTAINABILITY") | |
| label_sus = gr.Label() | |
| b4.click(mainFun4,inputs=answer,outputs=label_sus) | |
| b5=gr.Button("Get FLS") | |
| label_fls = gr.Label() | |
| b5.click(mainFun5,inputs=answer,outputs=label_fls) | |
| demo.launch() |