Spaces:
Sleeping
Sleeping
File size: 2,040 Bytes
3271f1b c9cf145 3271f1b c9cf145 3271f1b |
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 |
import gradio as gr
import pytesseract
from PIL import Image
from pdf2image import convert_from_bytes
from vector_store import add_document, query_documents
import io
def ocr_file(file):
# If file is None, return empty string
if file is None:
return ""
# If file has a 'read' attribute, it's a file-like object
if hasattr(file, "read"):
if file.name.lower().endswith('.pdf'):
file_bytes = file.read()
pages = convert_from_bytes(file_bytes)
text = "\n".join([pytesseract.image_to_string(page) for page in pages])
else:
image = Image.open(file)
text = pytesseract.image_to_string(image)
add_document(getattr(file, "name", "uploaded_file"), text, metadata={"source": getattr(file, "name", "uploaded_file")})
return text
# If file is a string (path), open it
elif isinstance(file, str):
if file.lower().endswith('.pdf'):
with open(file, "rb") as f:
pages = convert_from_bytes(f.read())
text = "\n".join([pytesseract.image_to_string(page) for page in pages])
else:
image = Image.open(file)
text = pytesseract.image_to_string(image)
add_document(file, text, metadata={"source": file})
return text
else:
return "Unsupported file type."
def semantic_search(query):
results = query_documents(query)
return str(results)
with gr.Blocks() as demo:
gr.Markdown("# Document OCR & Semantic Search")
with gr.Tab("Upload & OCR"):
file_input = gr.File(label="Upload PDF or Image")
ocr_output = gr.Textbox(label="OCR Result")
file_input.change(ocr_file, inputs=file_input, outputs=ocr_output)
with gr.Tab("Semantic Search"):
query_input = gr.Textbox(label="Search Query")
search_output = gr.Textbox(label="Search Results")
query_input.change(semantic_search, inputs=query_input, outputs=search_output)
demo.launch(server_name="0.0.0.0", server_port=7860)
|