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# | |
# Genelify.com | |
# Deep Learning, Machine Learning engine source code | |
# | |
# Converting image to text | |
# Using pytesseract and opencv | |
# | |
# Copyright Genelify, under Faisal Mochamad & Teams (2021-2024) | |
# | |
# Tool URL: https://www.genelify.com/tools/image-to-text | |
# Version Batch: 1.2 | |
# ------------ | |
import gradio as gr | |
import pytesseract | |
import cv2 | |
def process(image, lang): | |
try: | |
img = cv2.imread(image) | |
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) | |
threshold_img = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1] | |
return pytesseract.image_to_string(threshold_img, lang=lang) | |
except Exception as e: | |
return str(e) | |
choices = pytesseract.get_languages() | |
interface = gr.Interface( | |
process, | |
[gr.Image(type="filepath"), gr.Dropdown(label="Select Language", choices=choices, type="value")], | |
outputs="text", | |
title="Optical Character Recognition | Image To Text", | |
article = """<p style='text-align: center;'>Hello, thanks for coming, visit our tools: <a href="https://www.genelify.com" target="_blank">Genelify</a></p>""" | |
) | |
interface.launch() |