File size: 2,340 Bytes
e90e7ba 9650f42 e90e7ba d2082a1 e90e7ba e98811a e90e7ba e98811a e90e7ba f648e82 e90e7ba f648e82 e90e7ba f648e82 e90e7ba f648e82 e90e7ba f648e82 e90e7ba f648e82 e90e7ba 68d264c 6492be6 8f3409a 6492be6 e98811a d241351 5853ee9 d241351 06e17df 0d5f832 d241351 e90e7ba |
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 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
# import urllib.request
# import streamlit as st
# import os
# from datasets import load_from_disk
# import requests
# with urllib.request.urlopen('https://huggingface.co/datasets/Seetha/Visualization') as response:
# data = response.read()
# with open('./level2.json','r+') as fi:
# data = fi.read()
# st.write('before change', data)
# fi.seek(0)
# fi.write('Hello world!')
# fi.truncate()
# st.write(os.path.abspath("./level2.json"))
# with open('./level2.json','w') as dat:
# dat.write('hello hello')
# #st.write(data_after)
# # bin_file = open('./level2.json', 'rb')
# # # Execute the request
# # response = requests.post('https://huggingface.co/datasets/Seetha/Visualization', files={'file': bin_file})
# # # Close the file
# # bin_file.close()
# from datasets import load_dataset
# # Load the dataset
# dataset = load_dataset("Seetha/Visualization")
# # Make changes to the dataset
# # ...
# # Save the changed dataset to a file
# dataset.save_to_disk('./level.json')
# # In your Streamlit app, load the dataset from the file
# dataset = load_dataset('json', data_files='./level.json')
import streamlit as st
import urllib # the lib that handles the url stuff
from PyPDF2 import PdfReader
import base64
text_list = []
#target_url = 'https://huggingface.co/datasets/Seetha/Visualization/raw/main/AFLAC_Wyatt_notag.pdf'
file_path = "AFLAC_Wyatt_notag.pdf"
if st.button('PDF1'):
with open(file_path,"rb") as f:
base64_pdf = base64.b64encode(f.read()).decode('utf-8')
pdf_display = f'<iframe src="data:application/pdf;base64,{base64_pdf}" width="800" height="800" type="application/pdf"></iframe>'
st.markdown(pdf_display, unsafe_allow_html=True)
visual_display = f'<iframe src="https://seetha-aflac-wyat.hf.space" frameborder="0" width="1200" height="500"></iframe>'
st.markdown(visual_display, unsafe_allow_html=True)
# data = urllib.request.urlopen(target_url)
# for line in data.read():
# st.write(line)
# if data is not None:
# reader = PdfReader(data)
# for page in reader.pages:
# text = page.extract_text()
# text_list.append(text)
# st.write(text_list)
# else:
# st.error("Please upload your own PDF to be analyzed")
# st.stop()
else:
st.write('Goodbye')
|