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tjxj
commited on
Commit
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21196da
1
Parent(s):
8f35a06
1.0
Browse files- .history/app_20220620160827.py +42 -0
- .history/app_20220620160828.py +42 -0
- .history/requirements_20220619225756.txt +7 -0
- .history/requirements_20220620160853.txt +7 -0
- app.py +3 -2
- requirements.txt +1 -1
.history/app_20220620160827.py
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#-*- coding : utf-8-*-
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import pandas as pd
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import os,base64,subprocess
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os.system("apt-get install -y ghostscript")
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import streamlit as st
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from subprocess import STDOUT #os process manipuation
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@st.cache
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def gh():
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"""install ghostscript on the linux machine"""
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proc = subprocess.Popen('apt-get install -y ghostscript', shell=True, stdin=None, stdout=open(os.devnull,"wb"), stderr=STDOUT, executable="/bin/bash")
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proc.wait()
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gh()
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import camelot as cam
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st.title("PDF Table Extractor")
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input_pdf = st.file_uploader(label = "", type = 'pdf')
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page_number = st.text_input("请填写表格所在PDF页码,eg: 3", value = 1)
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if input_pdf is not None:
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# byte object into a PDF file
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with open("input.pdf", "wb") as f:
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base64_pdf = base64.b64encode(input_pdf.read()).decode('utf-8')
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f.write(base64.b64decode(base64_pdf))
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f.close()
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# read the pdf and parse it using stream
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tables = cam.read_pdf("input.pdf", pages=page_number)
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result = pd.ExcelWriter('result.xlsx', engine='xlsxwriter')
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tables[0].to_excel(result,index=False)
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# for i in range(0,len(tables)):
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# table = tables[i].df
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# sheetname = str(i)
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# table.to_excel(result, sheetname,index=False)
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with open('result.xlsx','rb') as f:
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st.download_button('提取完成,点击下载!', f,file_name='result.xlsx',mime="application/vnd.ms-excel")
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.history/app_20220620160828.py
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#-*- coding : utf-8-*-
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import pandas as pd
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import os,base64,subprocess
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os.system("apt-get install -y ghostscript")
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import streamlit as st
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from subprocess import STDOUT #os process manipuation
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@st.cache
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def gh():
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"""install ghostscript on the linux machine"""
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proc = subprocess.Popen('apt-get install -y ghostscript', shell=True, stdin=None, stdout=open(os.devnull,"wb"), stderr=STDOUT, executable="/bin/bash")
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proc.wait()
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gh()
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import camelot as cam
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st.title("PDF Table Extractor")
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input_pdf = st.file_uploader(label = "", type = 'pdf')
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page_number = st.text_input("请填写表格所在PDF页码,eg: 3", value = 1)
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if input_pdf is not None:
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# byte object into a PDF file
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with open("input.pdf", "wb") as f:
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base64_pdf = base64.b64encode(input_pdf.read()).decode('utf-8')
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f.write(base64.b64decode(base64_pdf))
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f.close()
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# read the pdf and parse it using stream
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tables = cam.read_pdf("input.pdf", pages=page_number)
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result = pd.ExcelWriter('result.xlsx', engine='xlsxwriter')
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tables[0].to_excel(result,index=False)
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# for i in range(0,len(tables)):
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# table = tables[i].df
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# sheetname = str(i)
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# table.to_excel(result, sheetname,index=False)
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with open('result.xlsx','rb') as f:
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st.download_button('提取完成,点击下载!', f,file_name='result.xlsx',mime="application/vnd.ms-excel")
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.history/requirements_20220619225756.txt
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@@ -0,0 +1,7 @@
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camelot-py
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pdfplumber==0.7.1
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xlsxwriter
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pandas
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streamlit
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opencv-python
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ghostscript==0.7
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.history/requirements_20220620160853.txt
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@@ -0,0 +1,7 @@
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ghostscript==0.7
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camelot-py
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pdfplumber==0.7.1
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xlsxwriter
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pandas
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streamlit
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opencv-python
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app.py
CHANGED
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@@ -1,9 +1,10 @@
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#-*- coding : utf-8-*-
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import pandas as pd
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-
import streamlit as st
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import os,base64,subprocess
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-
from subprocess import STDOUT #os process manipuation
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os.system("apt-get install -y ghostscript")
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@st.cache
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def gh():
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#-*- coding : utf-8-*-
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import pandas as pd
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import os,base64,subprocess
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os.system("apt-get install -y ghostscript")
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+
import streamlit as st
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+
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+
from subprocess import STDOUT #os process manipuation
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@st.cache
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def gh():
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requirements.txt
CHANGED
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@@ -1,7 +1,7 @@
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camelot-py
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pdfplumber==0.7.1
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xlsxwriter
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pandas
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streamlit
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opencv-python
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-
ghostscript==0.7
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ghostscript==0.7
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camelot-py
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pdfplumber==0.7.1
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xlsxwriter
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pandas
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streamlit
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opencv-python
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