File size: 4,066 Bytes
eeeaa67 | 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 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 | # app.py
import streamlit as st
import fitz
from pdf_counter import count_characters
st.set_page_config(
page_title="PDF Character Counter",
layout="wide",
)
st.title("PDF Character Counter")
st.write(
"Counts characters including spaces and can automatically remove headers, footers, and page numbers."
)
uploaded_file = st.file_uploader(
"Upload PDF",
type=["pdf"],
)
if uploaded_file:
pdf_bytes = uploaded_file.read()
doc = fitz.open(
stream=pdf_bytes,
filetype="pdf",
)
page_count = len(doc)
st.subheader("Settings")
excluded_pages = st.multiselect(
"Exclude pages",
options=list(range(1, page_count + 1)),
default=[],
)
col1, col2, col3 = st.columns(3)
with col1:
remove_headers = st.checkbox(
"Remove headers",
value=True,
)
with col2:
remove_footers = st.checkbox(
"Remove footers",
value=True,
)
with col3:
remove_page_numbers = st.checkbox(
"Remove page numbers",
value=True,
)
characters_per_normal_page = st.number_input(
"Tegn pr. normalside",
min_value=1,
value=2400,
step=100,
)
result = count_characters(
pdf_bytes=pdf_bytes,
excluded_pages=set(excluded_pages),
remove_headers=remove_headers,
remove_footers=remove_footers,
remove_page_numbers=remove_page_numbers,
)
normal_pages = result["total_characters"] / characters_per_normal_page
st.divider()
col1, col2 = st.columns(2)
with col1:
st.metric(
"Characters including spaces",
f"{result['total_characters']:,}".replace(",", "."),
)
with col2:
st.metric(
"Normalsider",
f"{normal_pages:.2f}".replace(".", ","),
)
st.divider()
st.subheader("Elements removed from the count")
removed_items = result["removed_items"]
removed_headers = [
item
for item in removed_items
if item["Type"] in ["Sidehoved", "Løbende sidehoved"]
]
removed_footers = [
item
for item in removed_items
if item["Type"] == "Sidefod"
]
removed_page_numbers = [
item
for item in removed_items
if item["Type"] == "Sidetal"
]
col1, col2, col3 = st.columns(3)
with col1:
st.metric(
"Headers removed",
len(removed_headers),
)
with col2:
st.metric(
"Footers removed",
len(removed_footers),
)
with col3:
st.metric(
"Page numbers removed",
len(removed_page_numbers),
)
with st.expander("Show removed headers"):
if removed_headers:
st.dataframe(
removed_headers,
use_container_width=True,
)
else:
st.info("No headers were removed.")
with st.expander("Show removed footers"):
if removed_footers:
st.dataframe(
removed_footers,
use_container_width=True,
)
else:
st.info("No footers were removed.")
with st.expander("Show removed page numbers"):
if removed_page_numbers:
st.dataframe(
removed_page_numbers,
use_container_width=True,
)
else:
st.info("No page numbers were removed.")
st.divider()
st.subheader("Result per page")
st.dataframe(
result["page_results"],
use_container_width=True,
)
st.divider()
with st.expander("View text included in the count"):
st.text_area(
"Text",
result["included_text"],
height=400,
)
st.download_button(
label="Download text as TXT",
data=result["included_text"],
file_name="counted_text.txt",
mime="text/plain",
) |