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875c5be d1b5139 875c5be 8ed9fa5 875c5be d1b5139 875c5be 8ed9fa5 d1b5139 8ed9fa5 d1b5139 8ed9fa5 d1b5139 | 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 | import streamlit as st
import easyocr
from PIL import Image
import numpy as np
from deep_translator import GoogleTranslator
# Initialize EasyOCR Reader
reader = easyocr.Reader(['en']) # Initialize reader for English
st.title("Image to Text Extraction and Translation Using EasyOCR and Translation Service")
# File uploader for images
uploaded_file = st.file_uploader("Choose an image... (JPEG, PNG)", type=["jpg", "jpeg", "png"])
if uploaded_file is not None:
# Load the image using PIL
image = Image.open(uploaded_file)
st.image(image, caption='Uploaded Image', use_container_width=True)
st.write("")
# Convert image to numpy array
image_np = np.array(image)
# Use EasyOCR to do OCR on the image
results = reader.readtext(image_np)
# Extract and display the detected text
st.subheader("Extracted English Text:")
extracted_texts = []
if results:
for (bbox, text, prob) in results:
st.write(f"Detected Text: '{text}' with confidence {prob:.2f}")
extracted_texts.append(text)
else:
st.write("No text detected.")
# Combine all extracted texts into a single string
english_text = ' '.join(extracted_texts)
# Translate English text to Persian using Google Translator
st.subheader("Translated Persian Text:")
if english_text:
with st.spinner("Translating text..."):
try:
persian_text = GoogleTranslator(source='en', target='fa').translate(english_text)
st.write(persian_text)
except Exception as e:
st.write(f"Translation failed: {e}")
else:
st.write("No text to translate.")
# import streamlit as st
# import easyocr
# from PIL import Image
# import numpy as np
# # Initialize EasyOCR Reader
# reader = easyocr.Reader(['en']) # Initialize reader for English
# st.title("Image to Text Extraction Using EasyOCR")
# # File uploader for images
# uploaded_file = st.file_uploader("Choose an image... (JPEG, PNG)", type=["jpg", "jpeg", "png"])
# if uploaded_file is not None:
# # Load the image using PIL
# image = Image.open(uploaded_file)
# st.image(image, caption='Uploaded Image', use_container_width=True)
# st.write("")
# # Convert image to numpy array
# image_np = np.array(image)
# # Use EasyOCR to do OCR on the image
# results = reader.readtext(image_np)
# # Extract and display the detected text
# st.subheader("Extracted Text:")
# extracted_texts = []
# if results:
# for (_, text, _) in results:
# st.write(text)
# extracted_texts.append(text)
# else:
# st.write("No text detected.") |