Spaces:
Running
on
Zero
Running
on
Zero
Liam Dyer
commited on
Commit
•
6c400a9
1
Parent(s):
8815210
feat: pdf and plain text support
Browse files- app.py +64 -4
- packages.txt +2 -0
- requirements.txt +2 -0
app.py
CHANGED
@@ -1,8 +1,11 @@
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import gradio as gr
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-
import os
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import spaces
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import string
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import random
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def random_word(length):
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@@ -10,11 +13,54 @@ def random_word(length):
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return "".join(random.choice(letters) for _ in range(length))
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# Convert the file to markdown with pandoc
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output_file = f"{random_word(16)}.md"
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# Read the file and delete
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with open(output_file, "r") as f:
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@@ -24,6 +70,20 @@ def convert(input_file):
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return markdown
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gr.Interface(
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convert,
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inputs=gr.File(label="Upload File", type="filepath"),
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import gradio as gr
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import spaces
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import subprocess
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import os
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import string
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import random
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from pypdf import PdfReader
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import ocrmypdf
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def random_word(length):
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return "".join(random.choice(letters) for _ in range(length))
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def convert_pdf(input_file):
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reader = PdfReader(input_file)
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metadata = extract_metadata_from_pdf(reader)
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text = extract_text_from_pdf(reader)
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# Check if there are any images
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image_count = 0
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for page in reader.pages:
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image_count += len(page.images)
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# If there are images and not much content, perform OCR on the document
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if image_count > 0 and len(text) < 1000:
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out_pdf_file = input_file.replace(".pdf", "_ocr.pdf")
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ocrmypdf.ocr(input_file, out_pdf_file, force_ocr=True)
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# Re-extract text
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text = extract_text_from_pdf(PdfReader(input_file))
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# Delete the OCR file
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os.remove(out_pdf_file)
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return text, metadata
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def extract_text_from_pdf(reader):
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full_text = ""
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for idx, page in enumerate(reader.pages):
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text = page.extract_text()
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if len(text) > 0:
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full_text += f"---- Page {idx} ----\n" + page.extract_text() + "\n\n"
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return full_text.strip()
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def extract_metadata_from_pdf(reader):
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return {
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"author": reader.metadata.author,
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"creator": reader.metadata.creator,
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"producer": reader.metadata.producer,
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"subject": reader.metadata.subject,
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"title": reader.metadata.title,
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}
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def convert_pandoc(input_file):
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# Convert the file to markdown with pandoc
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output_file = f"{random_word(16)}.md"
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result = subprocess.call(f"pandoc {input_file} -t markdown -o {output_file}")
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# Read the file and delete
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with open(output_file, "r") as f:
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return markdown
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@spaces.GPU
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def convert(input_file):
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plain_text_filetypes = [".txt", ".csv", ".tsv", ".md"]
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# Already a plain text file that wouldn't benefit from pandoc so return the content
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if any(input_file.endswith(ft) for ft in plain_text_filetypes):
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with open(input_file, "r") as f:
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return f.read()
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if input_file.endswith(".pdf"):
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return convert_pdf(input_file)
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return convert_pandoc(input_file)
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gr.Interface(
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convert,
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inputs=gr.File(label="Upload File", type="filepath"),
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packages.txt
CHANGED
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pandoc
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pandoc
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ocrmypdf
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tesseract-ocr-eng
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requirements.txt
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ocrmypdf==16.3.1
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pypdf==4.2.0
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