Spaces:
Sleeping
Sleeping
File size: 2,529 Bytes
6af4017 2fc3151 6af4017 |
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 |
import streamlit as st
import cv2
import pytesseract
import requests
import numpy as np
import os
# Set the Tesseract command path
pytesseract.pytesseract.tesseract_cmd = '/usr/local/bin/tesseract'
st.write(f'Tesseract Path: {pytesseract.pytesseract.tesseract_cmd}')
# Detecting characters using PyTesseract
def detectChar(img):
hImg, wImg, _ = img.shape
boxes = pytesseract.image_to_boxes(img)
# Create an image for displaying boxes
img_with_boxes = img.copy()
for b in boxes.splitlines():
b = b.split(' ')
x, y, w, h = int(b[1]), int(b[2]), int(b[3]), int(b[4])
char_text = b[0]
# Draw boxes on the image
cv2.rectangle(img_with_boxes, (x, hImg - y), (w, hImg - h), (0, 255, 0), 2) # Green rectangle for individual character
cv2.putText(img_with_boxes, char_text, (x, hImg - y + 25), cv2.FONT_HERSHEY_COMPLEX, 1, (50, 50, 255), 2)
# Display the image with character boxes using Streamlit
st.image(img_with_boxes, caption="Image with Character Boxes", use_column_width=True)
# Extract text for spell-checking
detected_text = ''.join([b.split()[0] for b in boxes.splitlines()])
print(detected_text)
# Perform spell-check using LanguageTool API
suggestions = spell_check(detected_text)
# Display spell-check suggestions
if suggestions:
# st.write("Spell Check only")
for suggestion in suggestions:
st.write(suggestion)
# print(suggestion)
else:
st.write("No suggestions or error in spell-checking.")
# Function to perform spell-check using LanguageTool API
def spell_check(text):
api_url = "https://api.languagetool.org/v2/check"
data = {
'text': text,
'language': 'en-US',
}
response = requests.post(api_url, data=data)
result = response.json()
if 'matches' in result:
suggestions = [match['message'] for match in result['matches']]
return suggestions
else:
return []
# Streamlit UI
st.title("Pyresearch checker Detection and Spell-checking")
uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
if uploaded_file is not None:
image_data = np.frombuffer(uploaded_file.read(), np.uint8)
image = cv2.imdecode(image_data, cv2.IMREAD_COLOR)
image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
st.image(image_rgb, caption="Uploaded Image.", use_column_width=True)
if st.button("Detect Characters and Spell-check"):
detectChar(image_rgb) |