Spaces:
Sleeping
Sleeping
File size: 11,641 Bytes
1e9ae83 c2d8255 1e9ae83 cf8dda9 1e9ae83 c2d8255 1e9ae83 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 |
import os
import tempfile
import zipfile
import io
import shutil
import streamlit as st
from utils.pdf_processing import (
split_pdf_pages, merge_pdfs, extract_page_range, remove_first_last_pages,
extract_text_from_pdf, keyword_highlight_pdf, extract_images, extract_tables,
ocr_pdf, reorder_pages, rotate_pages, add_watermark, extract_metadata
)
from utils.pdf_analysis import rag_qa, summarize_text
from utils.pdf_export import export_to_word, export_to_text, export_text_to_markdown
st.set_page_config(page_title="PDF Toolbox", layout="wide")
st.title("🛠 PDF Toolbox")
with st.sidebar:
st.header("Tools")
# Define tool categories
tool_categories = {
"PDF Processing": [
"Split PDF Pages",
"Merge PDFs",
"Extract Page Range",
"Remove First/Last Pages",
],
"Advanced Processing": [
"Keyword Search & Highlight",
"Extract Images",
"Extract Tables",
"OCR Scanned PDF",
"Reorder Pages",
"Rotate Pages",
"Add Watermark",
"Extract Metadata",
],
"Analysis": [
"Summarize PDF",
"Ask Questions on PDF (RAG)",
],
"Export": [
"Export to Word (.docx)",
"Export to Text (.txt)",
"Export to Markdown (.md)",
],
}
# Step 1: User selects category
selected_category = st.selectbox(
"Choose a Category",
list(tool_categories.keys())
)
# Step 2: Show tools under that category
tool = st.selectbox(
"Choose a Tool",
tool_categories[selected_category]
)
# st.caption("Note: For OCR, ensure Tesseract is installed on system path.")
# ------------- Helpers for downloads -------------
def download_bytes(label: str, data: bytes, file_name: str, mime: str):
st.download_button(label, data, file_name=file_name, mime=mime)
def zip_folder_to_bytes(folder_path: str) -> bytes:
mem = io.BytesIO()
with zipfile.ZipFile(mem, "w", zipfile.ZIP_DEFLATED) as zf:
for root, _, files in os.walk(folder_path):
for f in files:
full = os.path.join(root, f)
arc = os.path.relpath(full, start=folder_path)
zf.write(full, arcname=arc)
mem.seek(0)
return mem.read()
OUTPUT_DIR = "outputs"
os.makedirs(OUTPUT_DIR, exist_ok=True)
def out_file(name: str) -> str:
return os.path.join(OUTPUT_DIR, name)
# ------------- UI Logic -------------
# Most tools need a PDF file, except "Merge PDFs"
if tool == "Merge PDFs":
uploaded_files = st.file_uploader("Upload PDFs to merge", type=["pdf"], accept_multiple_files=True)
if uploaded_files:
if st.button("Merge"):
merged = merge_pdfs(uploaded_files) # returns BytesIO
download_bytes("📥 Download Merged PDF", merged.getvalue(), "merged.pdf", "application/pdf")
else:
uploaded = st.file_uploader("Upload PDF", type=["pdf"])
if uploaded:
with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp:
tmp.write(uploaded.read())
pdf_path = tmp.name
if tool == "Split PDF Pages":
# Read total pages for UI
from PyPDF2 import PdfReader as _Reader
total_pages = len(_Reader(pdf_path).pages)
option = st.radio("Select Option", ["All Pages", "Page Range", "Single Page"], horizontal=True)
if option == "All Pages":
start_page, end_page = 1, total_pages
elif option == "Page Range":
start_page = st.number_input("Start Page", 1, total_pages, 1)
end_page = st.number_input("End Page", start_page, total_pages, total_pages)
else:
start_page = st.number_input("Page Number", 1, total_pages, 1)
end_page = start_page
if st.button("Split & Download ZIP"):
zip_bytesio = split_pdf_pages(pdf_path, int(start_page), int(end_page))
download_bytes("📥 Download ZIP", zip_bytesio.getvalue(), "split_pages.zip", "application/zip")
elif tool == "Extract Page Range":
from PyPDF2 import PdfReader as _Reader
total_pages = len(_Reader(pdf_path).pages)
start_page = st.number_input("Start Page", 1, total_pages, 1)
end_page = st.number_input("End Page", start_page, total_pages, total_pages)
if st.button("Extract Range"):
out = extract_page_range(pdf_path, int(start_page), int(end_page))
download_bytes("📥 Download Extracted PDF", out.getvalue(), "extracted_range.pdf", "application/pdf")
elif tool == "Remove First/Last Pages":
remove_first = st.checkbox("Remove First Page", value=True)
remove_last = st.checkbox("Remove Last Page", value=False)
if st.button("Remove & Download"):
out = remove_first_last_pages(pdf_path, remove_first, remove_last)
download_bytes("📥 Download Modified PDF", out.getvalue(), "modified.pdf", "application/pdf")
elif tool == "Keyword Search & Highlight":
keyword = st.text_input("Keyword to highlight", "")
if st.button("Search & Highlight") and keyword.strip():
out_path = keyword_highlight_pdf(pdf_path, keyword.strip(), out_file("highlighted.pdf"))
with open(out_path, "rb") as f:
download_bytes("📥 Download Highlighted PDF", f.read(), "highlighted.pdf", "application/pdf")
elif tool == "Extract Images":
folder = extract_images(pdf_path, output_folder="images_out")
# st.success(f"Extracted images → {folder}")
if isinstance(folder, list):
folder = folder[0]
if os.path.isdir(folder) and len(os.listdir(folder)) > 0:
zbytes = zip_folder_to_bytes(folder)
if st.download_button("📥 Download Images (ZIP)", zbytes, "images.zip", "application/zip"):
shutil.rmtree(folder)
if os.path.isdir(folder):
image_files = [os.path.join(folder, f) for f in sorted(os.listdir(folder))]
# st.write("### Extracted Images Preview")
cols = st.columns(3) # grid with 3 columns
for i, img in enumerate(image_files):
with cols[i % 3]:
st.image(img, caption=os.path.basename(img), use_container_width=True)
elif tool == "Extract Tables":
tables = extract_tables(pdf_path)
if not tables:
st.info("No tables detected.")
else:
try:
import pandas as pd
except ImportError:
st.warning("Install pandas to view tables nicely.")
st.write(tables)
else:
for i, t in enumerate(tables):
if hasattr(t, "to_csv"): # Camelot DataFrame
df = t
else: # pdfplumber list-of-rows
df = pd.DataFrame(t)
st.subheader(f"Table {i+1}")
st.dataframe(df)
elif tool == "OCR Scanned PDF":
# st.info("Requires Tesseract installed on your system.")
lang = st.selectbox(
"Select OCR language",
["eng", "hin", "fra", "deu", "jpn", "kor"], # Add more as needed
index=0
)
if st.button("Run OCR"):
text = ocr_pdf(pdf_path, lang)
st.text_area("OCR Output", text, height=300)
elif tool == "Reorder Pages":
st.caption("Enter comma-separated 0-indexed page order. Example for 3 pages: 2,0,1")
order_str = st.text_input("New order", "")
if st.button("Reorder") and order_str.strip():
new_order = [int(x.strip()) for x in order_str.split(",") if x.strip().isdigit()]
out_path = reorder_pages(pdf_path, new_order, out_file("reordered.pdf"))
with open(out_path, "rb") as f:
download_bytes("📥 Download Reordered PDF", f.read(), "reordered.pdf", "application/pdf")
elif tool == "Rotate Pages":
st.caption("Enter 0-indexed pages, comma-separated. Angle typically 90/180/270.")
pages_str = st.text_input("Pages to rotate", "")
angle = st.number_input("Angle", min_value=0, max_value=360, value=90, step=90)
if st.button("Rotate") and pages_str.strip():
pages = [int(x.strip()) for x in pages_str.split(",") if x.strip().isdigit()]
out_path = rotate_pages(pdf_path, pages, int(angle), out_file("rotated.pdf"))
with open(out_path, "rb") as f:
download_bytes("📥 Download Rotated PDF", f.read(), "rotated.pdf", "application/pdf")
elif tool == "Add Watermark":
wm = st.text_input("Watermark text", "CONFIDENTIAL")
if st.button("Apply Watermark"):
out_path = add_watermark(pdf_path, wm, out_file("watermarked.pdf"))
with open(out_path, "rb") as f:
download_bytes("📥 Download Watermarked PDF", f.read(), "watermarked.pdf", "application/pdf")
elif tool == "Extract Metadata":
meta = extract_metadata(pdf_path)
st.json(meta)
elif tool == "Summarize PDF":
text = extract_text_from_pdf(pdf_path)
# st.info("Using Together.ai LLaMA for summarization. Set TOGETHER_API_KEY in your environment.")
if st.button("Summarize"):
with st.spinner("Summarizing... Please wait ⏳"):
summary = summarize_text(text)
st.write(summary)
elif tool == "Ask Questions on PDF (RAG)":
# st.info("Uses FAISS + MiniLM embeddings + Together.ai LLaMA. Set TOGETHER_API_KEY in your environment.")
question = st.text_input("Your question")
if st.button("Ask") and question.strip():
text = extract_text_from_pdf(pdf_path)
with st.spinner("Analyzing... Please wait ⏳"):
answer, sources = rag_qa(text, question)
st.subheader("Answer")
st.write(answer)
if sources:
st.subheader("Top source chunks")
for i, s in enumerate(sources, start=1):
st.markdown(f"**Source {i}:**\n\n{getattr(s, 'page_content', '')[:800]}")
elif tool == "Export to Word (.docx)":
out = export_to_word(pdf_path, out_file("export.docx"))
with open(out, "rb") as f:
download_bytes("📥 Download DOCX", f.read(), "export.docx", "application/vnd.openxmlformats-officedocument.wordprocessingml.document")
elif tool == "Export to Text (.txt)":
out = export_to_text(pdf_path, out_file("export.txt"))
with open(out, "rb") as f:
download_bytes("📥 Download TXT", f.read(), "export.txt", "text/plain")
elif tool == "Export to Markdown (.md)":
text = extract_text_from_pdf(pdf_path)
out = export_text_to_markdown(text, out_file("export.md"))
with open(out, "rb") as f:
download_bytes("📥 Download MD", f.read(), "export.md", "text/markdown") |