Update app.py

app.py

@@ -14,22 +14,17 @@ import torch
 import json
 import sys
 import os
-#from datasets import load_metric
 from sklearn.metrics import classification_report
 from pandas import read_csv
 from sklearn.linear_model import LogisticRegression
 import sklearn.model_selection
 from sklearn.feature_extraction.text import TfidfTransformer
 from sklearn.feature_extraction.text import CountVectorizer
-#from sklearn.naive_bayes import MultinomialNB
-#from sklearn.model_selection import GridSearchCV
 from sklearn.pipeline import Pipeline, FeatureUnion
 import math
 from sklearn.metrics import accuracy_score
 from sklearn.metrics import precision_recall_fscore_support
 from sklearn.model_selection import train_test_split
-#from sklearn.metrics import Scorer
-#from sklearn.metrics import SCORERS
 import json
 import re
 import numpy as np 
@@ -37,13 +32,8 @@ import pandas as pd
 import re
 import nltk
 nltk.download("punkt")
-#stemmer = nltk.SnowballStemmer("english")
-#from nltk.corpus import stopwords
 import string
 from sklearn.model_selection import train_test_split
-# import seaborn as sns
-# from sklearn.metrics import confusion_matrix
-# from sklearn.metrics import classification_report, ConfusionMatrixDisplay
 from transformers import AutoTokenizer, Trainer, TrainingArguments, AutoModelForSequenceClassification, AutoConfig
 import torch
 from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
@@ -54,13 +44,7 @@ from transformers import TextClassificationPipeline, TFAutoModelForSequenceClass
 from transformers import pipeline
 import pickle
 import urllib.request  
-# from sklearn.feature_extraction.text import TfidfTransformer
-# from sklearn.feature_extraction.text import CountVectorizer
-#from PyPDF2 import PdfReader
-#from urllib.request import urlopen
-#from tabulate import tabulate
 import csv
-#import gdown
 import pdfplumber
 import pathlib 
 import shutil
@@ -505,7 +489,7 @@ def main():
   
   # Write JSON to file
   #with open(DATA_FILE, 'w') as f: #w+
-  with DATA_FILE.open("w") as f:
+  with open('https://huggingface.co/datasets/Seetha/visual_files/raw/main/level2.json','w') as f:
     st.write(f)
     f.write(json.dump(json_data))
     #json.dump(json_data, f)