Spaces:
Runtime error
Runtime error
File size: 1,211 Bytes
2e9a8c4 037452a 6ebd1a5 9455659 6ebd1a5 093ef16 6ebd1a5 093ef16 ad63b2b 6ebd1a5 093ef16 037452a 6ee4162 037452a 0ad143b 037452a ef575bd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
import gradio as gr
import numpy as np
import pytesseract as pt
import pdf2image
from fpdf import FPDF
import re
import nltk
from nltk.tokenize import sent_tokenize
from nltk.tokenize import word_tokenize
import os
import pdfkit
import yake
from summarizer import Summarizer,TransformerSummarizer
from transformers import pipelines
nltk.download('punkt')
from transformers import AutoTokenizer, AutoModelForPreTraining, AutoConfig, AutoModel
# model_name = 'distilbert-base-uncased'
model_name = 'nlpaueb/legal-bert-base-uncased'
#model_name = 'laxya007/gpt2_legal'
# model_name = 'facebook/bart-large-cnn'
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("laxya007/gpt2_BSA_Legal_Initiproject_OE_OS_BRM")
model = AutoModelForCausalLM.from_pretrained("laxya007/gpt2_BSA_Legal_Initiproject_OE_OS_BRM")
bert_legal_model = Summarizer(custom_model= model, custom_tokenizer= tokenizer)
print('Using model {}\n'.format(model_name))
def lincoln(input_text):
output_text= bert_legal_model(input_text, min_length = 8, ratio = 0.05)
iface = gr.Interface(
lincoln,
"text",
"text"
)
if __name__ == "__main__":
iface.launch(share=False) |