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Update app.py
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app.py
CHANGED
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@@ -3,22 +3,36 @@ import easyocr
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from PIL import Image, ImageDraw, ImageFont
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import numpy as np
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import google.generativeai as genai
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import arabic_reshaper
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from bidi.algorithm import get_display
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#
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api_key = "AIzaSyAKI92YawOKQ1-HRLmvaryMEWk_y4alJgA"
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PERSIAN_FONT_PATH = "vazir.ttf"
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reader = None
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def initialize_reader():
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global reader
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if reader is None:
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reader = easyocr.Reader(['en'], gpu=False, verbose=False)
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return reader
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def extract_text_and_bbox(image):
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if image is None:
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return "Please upload an image first.", None
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@@ -32,7 +46,7 @@ def extract_text_and_bbox(image):
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min_x, min_y = float('inf'), float('inf')
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max_x, max_y = float('-inf'), float('-inf')
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-
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text_parts = []
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for (bbox, text, prob) in results:
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text_parts.append(text)
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@@ -41,62 +55,48 @@ def extract_text_and_bbox(image):
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min_y = min(min_y, tl[1], tr[1])
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max_x = max(max_x, tr[0], br[0])
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max_y = max(max_y, bl[1], br[1])
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extracted_text = ' '.join(text_parts)
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consolidated_bbox = (int(min_x), int(min_y), int(max_x), int(max_y))
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return extracted_text, consolidated_bbox
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except Exception as e:
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return f"Error processing image: {str(e)}", None
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def translate_text_gemini(text):
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if not text or "No text" in text or "Error" in text or "Please upload" in text:
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return "No valid text to translate."
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try:
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genai.configure(api_key=api_key)
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model = genai.GenerativeModel('gemini-1.5-flash')
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prompt = (
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response = model.generate_content(prompt)
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return response.text.strip()
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except Exception as e:
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return f"Error during translation: {str(e)}"
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# ----------- RTL OVERLAY FIX --------- #
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#########################################
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def
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"""
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"""
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words = text.split(' ')
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lines = []
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current_line = ""
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for word in words:
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test_line = (current_line + " " + word).strip() if current_line else word
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test_width = draw.textlength(test_line, font=font)
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if test_width <= max_width:
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current_line = test_line
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else:
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if current_line: # push current line, start new
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lines.append(current_line)
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current_line = word
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if current_line:
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lines.append(current_line)
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return lines
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def overlay_text_on_image(original_image, text_to_overlay, bbox):
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image_copy = original_image.copy()
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draw = ImageDraw.Draw(image_copy)
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# 1. Erase the old text
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padding = 10
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erase_box = (bbox[0] - padding, bbox[1] - padding, bbox[2] + padding, bbox[3] + padding)
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try:
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sample_x = max(0, int(erase_box[0]) - 5)
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sample_y = int((erase_box[1] + erase_box[3]) / 2)
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@@ -105,78 +105,148 @@ def overlay_text_on_image(original_image, text_to_overlay, bbox):
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bg_color = image_copy.getpixel((sample_x, sample_y))
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except (ValueError, IndexError):
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bg_color = (0, 0, 0)
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draw.rectangle(erase_box, fill=bg_color)
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# 2.
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target_width = (erase_box[2] - erase_box[0]) * 0.95
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target_height = erase_box[3] - erase_box[1]
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current_line = ""
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for word in words:
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test_line = (current_line + " " + word).strip()
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# Only reshape for measuring
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reshaped_test_line = arabic_reshaper.reshape(test_line)
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line_width = draw.textlength(reshaped_test_line, font=font)
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if line_width <= target_width:
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current_line = test_line
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else:
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if current_line:
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lines.append(current_line)
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current_line = word
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if current_line:
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lines.append(current_line)
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# Calculate total height
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total_height = sum(
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draw.textbbox((0,0), arabic_reshaper.reshape(line), font=font)[3] -
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draw.textbbox((0,0), arabic_reshaper.reshape(line), font=font)[1]
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for line in lines
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) + (len(lines) - 1) * int(font_size * 0.35)
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if total_height <= target_height:
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break
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font_size -= 2
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final_font = ImageFont.truetype(selected_font, font_size)
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line_spacing = int(final_font.size * 0.35)
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total_text_height = 0
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line_heights = []
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reshaped_lines = []
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for line in lines:
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reshaped = arabic_reshaper.reshape(line)
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line_heights.append(line_height)
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total_text_height += line_height
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current_y = y_start
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x_center = erase_box[0] + (erase_box[2] - erase_box[0]) / 2
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line_y_center = current_y +
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#
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draw.text(
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return image_copy
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#########################################
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# --------- Gradio Interface ----------#
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#########################################
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with gr.Blocks(title="Quote OCR Translator", theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 📝 Quote Image Translator")
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if bbox is None:
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return extracted_text, "No text to translate.", None
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translated_text = translate_text_gemini(extracted_text)
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if "Error" in translated_text:
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return extracted_text, translated_text, None
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final_image = overlay_text_on_image(image, translated_text, bbox)
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return extracted_text, translated_text, final_image
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image_input.change(
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from PIL import Image, ImageDraw, ImageFont
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import numpy as np
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import google.generativeai as genai
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import time
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import arabic_reshaper
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from bidi.algorithm import get_display
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# --- CONFIGURATION ---
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# It's best practice to load secrets from environment variables in Hugging Face
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# import os
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# api_key = os.environ.get("GEMINI_API_KEY")
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api_key = "AIzaSyAKI92YawOKQ1-HRLmvaryMEWk_y4alJgA"
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PERSIAN_FONT_PATH = "vazir.ttf"
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# --- GLOBAL INITIALIZATION ---
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reader = None
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def initialize_reader():
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"""Initialize EasyOCR reader if it hasn't been already."""
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global reader
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if reader is None:
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print("Loading EasyOCR model...")
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reader = easyocr.Reader(['en'], gpu=False, verbose=False)
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print("EasyOCR model loaded successfully!")
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return reader
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# --- CORE FUNCTIONS ---
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def extract_text_and_bbox(image):
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"""
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Extracts text and calculates a single consolidated bounding box for all text found.
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"""
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if image is None:
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return "Please upload an image first.", None
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min_x, min_y = float('inf'), float('inf')
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max_x, max_y = float('-inf'), float('-inf')
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text_parts = []
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for (bbox, text, prob) in results:
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text_parts.append(text)
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min_y = min(min_y, tl[1], tr[1])
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max_x = max(max_x, tr[0], br[0])
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max_y = max(max_y, bl[1], br[1])
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extracted_text = ' '.join(text_parts)
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consolidated_bbox = (int(min_x), int(min_y), int(max_x), int(max_y))
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return extracted_text, consolidated_bbox
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except Exception as e:
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return f"Error processing image: {str(e)}", None
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def translate_text_gemini(text):
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"""Translates text using Gemini API."""
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if not text or "No text" in text or "Error" in text or "Please upload" in text:
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return "No valid text to translate."
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+
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try:
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genai.configure(api_key=api_key)
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model = genai.GenerativeModel('gemini-1.5-flash')
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prompt = (f"Translate the following English text to Persian. Your translation should be natural, touching, and relatable, "
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f"like casual chats with a friend—short and heartfelt. Use colloquial Persian words and contractions where appropriate. "
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f"Do not add any extra explanations, greetings, or emojis. Output ONLY the Persian translation. "
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f"English text: [{text}]")
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response = model.generate_content(prompt)
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return response.text.strip()
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except Exception as e:
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return f"Error during translation: {str(e)}"
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# --- CORRECTED IMAGE OVERLAY FUNCTION ---
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def overlay_text_on_image(original_image, text_to_overlay, bbox):
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"""
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Overlays Persian text onto an image, erasing the content within the given bounding box.
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Fixed to properly handle RTL text rendering like the working example.
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"""
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image_copy = original_image.copy()
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draw = ImageDraw.Draw(image_copy)
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# 1. Erase the old text (Inpainting)
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padding = 10
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erase_box = (bbox[0] - padding, bbox[1] - padding, bbox[2] + padding, bbox[3] + padding)
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try:
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sample_x = max(0, int(erase_box[0]) - 5)
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sample_y = int((erase_box[1] + erase_box[3]) / 2)
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bg_color = image_copy.getpixel((sample_x, sample_y))
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except (ValueError, IndexError):
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bg_color = (0, 0, 0)
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draw.rectangle(erase_box, fill=bg_color)
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# 2. Text processing following the working pattern
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target_width = (erase_box[2] - erase_box[0]) * 0.90 # 90% like in working code
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target_height = erase_box[3] - erase_box[1]
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# Split text into lines (or words if needed for wrapping)
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lines = [line.strip() for line in text_to_overlay.split('\n') if line.strip()]
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if not lines:
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lines = [text_to_overlay] # Single line if no newlines
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# **KEY FIX**: Reshape ALL lines first, then apply get_display()
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reshaped_lines = []
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for line in lines:
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reshaped = arabic_reshaper.reshape(line)
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display_text = get_display(reshaped) # This was missing!
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reshaped_lines.append(display_text)
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# 3. Find optimal font size
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font_size = 100
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final_font = None
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# Find the longest line for font sizing (like in working code)
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if reshaped_lines:
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temp_font = ImageFont.truetype(PERSIAN_FONT_PATH, font_size)
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longest_line = max(reshaped_lines, key=lambda line: draw.textlength(line, font=temp_font))
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# Reduce font size until longest line fits
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while font_size > 10:
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font = ImageFont.truetype(PERSIAN_FONT_PATH, font_size)
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if draw.textlength(longest_line, font=font) <= target_width:
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final_font = font
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break
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font_size -= 2
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if final_font is None:
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final_font = ImageFont.truetype(PERSIAN_FONT_PATH, 12)
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# 4. Handle line wrapping if text is too wide
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final_lines = []
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for line in reshaped_lines:
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if draw.textlength(line, font=final_font) <= target_width:
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final_lines.append(line)
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else:
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# Need to wrap this line - split by words and rewrap
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original_line = lines[reshaped_lines.index(line)] # Get original before reshaping
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words = original_line.split()
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current_line_words = []
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for word in words:
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test_words = current_line_words + [word]
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test_text = ' '.join(test_words)
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# Process the test text properly
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| 163 |
+
test_reshaped = arabic_reshaper.reshape(test_text)
|
| 164 |
+
test_display = get_display(test_reshaped)
|
| 165 |
+
|
| 166 |
+
if draw.textlength(test_display, font=final_font) <= target_width:
|
| 167 |
+
current_line_words = test_words
|
| 168 |
+
else:
|
| 169 |
+
# Line is full, save current line and start new one
|
| 170 |
+
if current_line_words:
|
| 171 |
+
line_text = ' '.join(current_line_words)
|
| 172 |
+
line_reshaped = arabic_reshaper.reshape(line_text)
|
| 173 |
+
line_display = get_display(line_reshaped)
|
| 174 |
+
final_lines.append(line_display)
|
| 175 |
+
current_line_words = [word]
|
| 176 |
+
|
| 177 |
+
# Add remaining words
|
| 178 |
+
if current_line_words:
|
| 179 |
+
line_text = ' '.join(current_line_words)
|
| 180 |
+
line_reshaped = arabic_reshaper.reshape(line_text)
|
| 181 |
+
line_display = get_display(line_reshaped)
|
| 182 |
+
final_lines.append(line_display)
|
| 183 |
+
|
| 184 |
+
# 5. Calculate total height and center text (following working pattern)
|
| 185 |
+
line_spacing = 20 # Same as working code
|
| 186 |
+
total_text_height = 0
|
| 187 |
+
line_heights = []
|
| 188 |
+
|
| 189 |
+
for line in final_lines:
|
| 190 |
+
line_bbox = draw.textbbox((0, 0), line, font=final_font)
|
| 191 |
+
line_height = line_bbox[3] - line_bbox[1]
|
| 192 |
line_heights.append(line_height)
|
| 193 |
total_text_height += line_height
|
| 194 |
+
|
| 195 |
+
# Add spacing between lines
|
| 196 |
+
if len(final_lines) > 1:
|
| 197 |
+
total_text_height += (len(final_lines) - 1) * line_spacing
|
| 198 |
+
|
| 199 |
+
# Check if total height fits, if not reduce font size
|
| 200 |
+
while total_text_height > target_height and font_size > 10:
|
| 201 |
+
font_size -= 2
|
| 202 |
+
final_font = ImageFont.truetype(PERSIAN_FONT_PATH, font_size)
|
| 203 |
+
|
| 204 |
+
# Recalculate heights
|
| 205 |
+
total_text_height = 0
|
| 206 |
+
line_heights = []
|
| 207 |
+
for line in final_lines:
|
| 208 |
+
line_bbox = draw.textbbox((0, 0), line, font=final_font)
|
| 209 |
+
line_height = line_bbox[3] - line_bbox[1]
|
| 210 |
+
line_heights.append(line_height)
|
| 211 |
+
total_text_height += line_height
|
| 212 |
+
|
| 213 |
+
if len(final_lines) > 1:
|
| 214 |
+
total_text_height += (len(final_lines) - 1) * line_spacing
|
| 215 |
+
|
| 216 |
+
# Center vertically in the erase box
|
| 217 |
+
y_start = erase_box[1] + (target_height - total_text_height) / 2
|
| 218 |
+
|
| 219 |
+
# 6. Draw the text (following working pattern)
|
| 220 |
current_y = y_start
|
| 221 |
+
for i, line in enumerate(final_lines):
|
| 222 |
+
# Center horizontally
|
| 223 |
+
line_width = draw.textlength(line, font=final_font)
|
| 224 |
x_center = erase_box[0] + (erase_box[2] - erase_box[0]) / 2
|
| 225 |
+
line_y_center = current_y + line_heights[i] / 2
|
| 226 |
+
|
| 227 |
+
# Draw shadow for visibility
|
| 228 |
+
draw.text(
|
| 229 |
+
(x_center + 1, line_y_center + 1),
|
| 230 |
+
line,
|
| 231 |
+
font=final_font,
|
| 232 |
+
fill=(0, 0, 0), # Black shadow
|
| 233 |
+
anchor="mm"
|
| 234 |
+
)
|
| 235 |
+
|
| 236 |
+
# Draw main text
|
| 237 |
+
draw.text(
|
| 238 |
+
(x_center, line_y_center),
|
| 239 |
+
line,
|
| 240 |
+
font=final_font,
|
| 241 |
+
fill=(255, 255, 255), # White text
|
| 242 |
+
anchor="mm"
|
| 243 |
+
)
|
| 244 |
+
|
| 245 |
+
current_y += line_heights[i] + line_spacing
|
| 246 |
|
| 247 |
return image_copy
|
| 248 |
|
| 249 |
+
# --- GRADIO INTERFACE ---
|
|
|
|
|
|
|
|
|
|
| 250 |
|
| 251 |
with gr.Blocks(title="Quote OCR Translator", theme=gr.themes.Soft()) as demo:
|
| 252 |
gr.Markdown("# 📝 Quote Image Translator")
|
|
|
|
| 286 |
|
| 287 |
if bbox is None:
|
| 288 |
return extracted_text, "No text to translate.", None
|
| 289 |
+
|
| 290 |
translated_text = translate_text_gemini(extracted_text)
|
| 291 |
|
| 292 |
if "Error" in translated_text:
|
| 293 |
return extracted_text, translated_text, None
|
| 294 |
|
| 295 |
final_image = overlay_text_on_image(image, translated_text, bbox)
|
| 296 |
+
|
| 297 |
return extracted_text, translated_text, final_image
|
| 298 |
|
| 299 |
image_input.change(
|