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# # First uninstall existing packages to avoid conflicts
# # !pip uninstall -y httpx googletrans gradio easyocr
# !pip install httpx==0.24.1
# !pip install googletrans-py==4.0.0
# !pip install gradio==3.50.2
# !pip install easyocr==1.7.1
# !pip install numpy Pillow easyocr gradio googletrans==3.1.0a0
import gradio as gr
import os
from googletrans import Translator
import easyocr
from PIL import Image
from PIL import ImageDraw
import numpy as np
def Get_OCR_demo(image):
try:
# Initialize EasyOCR reader
reader = easyocr.Reader(['en'])
translator = Translator()
# Convert image to numpy array if it isn't already
if isinstance(image, str):
# If image is a file path
image_array = np.array(Image.open(image))
elif isinstance(image, np.ndarray):
# If image is already a numpy array
image_array = image
else:
raise ValueError("Unsupported image format")
# Perform OCR
text_list = reader.readtext(
image_array,
add_margin=0.55,
width_ths=0.7,
link_threshold=0.8,
decoder='beamsearch',
blocklist='=-',
detail=0
)
# Combine text results
text_comb = ' '.join(text_list) if text_list else "No text detected"
return text_comb
except Exception as e:
return f"Error processing image: {str(e)}"
# Create Gradio interface
title = "Upload an image and extract Text from it"
description = "OCR tool for text extraction"
examples=[["english.png"],["Parag_Letter_j.jpg"]]
get_OCR_demo = gr.Interface(
fn=Get_OCR_demo,
inputs=gr.Image(label="Upload Image"), # Removed type="filepath"
outputs=gr.Textbox(label="Extracted Text"),
title=title,
description=description,
cache_examples=False,
examples=examples
)
# if __name__ == "__main__":
# get_OCR_demo.launch() |