import fitz # PyMuPDF
import os
import pandas as pd
import pdfplumber
import gradio as gr
import time
from pathlib import Path
import shutil
# Function to extract content from a single PDF
def extract_pdf_content(file_path):
# Open the PDF
pdf_file = fitz.open(file_path)
page_nums = len(pdf_file)
# Ensure images directory exists
images_dir = "temp_images"
if not os.path.exists(images_dir):
os.makedirs(images_dir)
# Store extracted content
all_text = []
all_tables = []
images_list = []
# Extract text, tables, and images
for page_num in range(page_nums):
page_content = pdf_file[page_num]
# Extract text
text = page_content.get_text("text")
all_text.append(f"--- Page {page_num + 1} ---\n{text}")
# Extract tables using pdfplumber
with pdfplumber.open(file_path) as pdf:
tables = pdf.pages[page_num].extract_tables()
for table in tables:
df = pd.DataFrame(table)
all_tables.append(df)
# Extract images
images_list.extend(page_content.get_images(full=True))
# Save extracted images
image_paths = []
if images_list:
for i, image in enumerate(images_list, start=1):
xref = image[0]
base_image = pdf_file.extract_image(xref)
image_bytes = base_image["image"]
image_ext = base_image["ext"]
image_name = f"{images_dir}/image_{time.time()}_{i}.{image_ext}" # Unique name for each image
image_paths.append(image_name)
with open(image_name, "wb") as image_file:
image_file.write(image_bytes)
# Close the PDF file
pdf_file.close()
return "\n".join(all_text), all_tables, image_paths
# Function to handle multiple PDFs
def process_multiple_pdfs(files, progress=gr.Progress()):
aggregated_text = []
aggregated_tables = []
aggregated_images = []
total_files = len(files)
for idx, file in enumerate(files):
file_path = file.name # Get the temporary file path
progress(idx / total_files, desc=f"Processing PDF {idx + 1}/{total_files}")
text, tables, images = extract_pdf_content(file_path)
aggregated_text.append(f"=== File: {Path(file_path).name} ===\n{text}")
aggregated_tables.extend(tables)
aggregated_images.extend(images)
# Convert tables to HTML with advanced styling
table_html = ""
for idx, table in enumerate(aggregated_tables):
table_html += f"
Table {idx + 1}
"
table_html += table.to_html(index=False, border=1, classes="table table-striped table-bordered")
# Return outputs
return "\n".join(aggregated_text), table_html, aggregated_images
# Custom CSS for advanced styling
custom_css = """
.gradio-container {
max-width: 1200px;
margin: auto;
}
.table {
width: 100%;
margin-bottom: 1rem;
color: #212529;
}
.table-striped tbody tr:nth-of-type(odd) {
background-color: rgba(0, 0, 0, 0.05);
}
.table-bordered {
border: 1px solid #dee2e6;
}
.table-bordered th,
.table-bordered td {
border: 1px solid #dee2e6;
}
.gallery {
display: flex;
flex-wrap: wrap;
gap: 10px;
}
.gallery img {
max-width: 100%;
height: auto;
border-radius: 5px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.scrollable {
max-height: 400px; /* Fixed height for vertical scrolling */
max-width: 100%; /* Ensure the width is constrained */
overflow-y: auto; /* Enable vertical scrolling */
overflow-x: auto; /* Enable horizontal scrolling */
white-space: pre-wrap; /* Preserve whitespace and wrap text */
word-wrap: break-word; /* Break long words if necessary */
border: 1px solid #ddd;
padding: 10px;
border-radius: 5px;
}
.row {
display: flex;
gap: 20px;
margin-bottom: 20px;
}
.column {
flex: 1;
}
.center {
text-align: center;
margin: auto;
width: 80%;
}
"""
# Create Gradio Interface
with gr.Blocks(css=custom_css) as demo:
gr.Markdown("# Advanced PDF Content Extractor")
with gr.Row():
pdf_input = gr.File(label="Upload PDF Files", file_types=[".pdf"], file_count="multiple")
with gr.Row():
with gr.Column():
gr.Markdown("### Extracted Text")
text_output = gr.Textbox(
label="Text",
lines=15,
interactive=False,
elem_classes="scrollable" # Apply scrollable class
)
with gr.Column():
gr.Markdown("### Extracted Images")
image_gallery = gr.Gallery(
label="Images",
columns=4,
height="auto",
elem_classes="scrollable"
)
with gr.Row():
with gr.Column():
gr.Markdown("### Extracted Tables")
table_output = gr.HTML(
label="Tables",
elem_classes="scrollable center"
)
# Main function call
pdf_input.change(
fn=process_multiple_pdfs,
inputs=pdf_input,
outputs=[text_output, table_output, image_gallery]
)
# Launch the Gradio app
demo.launch()