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Update app.py
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app.py
CHANGED
@@ -4,6 +4,7 @@ from diffusers import StableDiffusionInstructPix2PixPipeline
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import gradio as gr
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from PIL import Image
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import random
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# Load the InstructPix2Pix model
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model_id = "timbrooks/instruct-pix2pix"
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@@ -29,7 +30,7 @@ def change_style():
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seed = torch.manual_seed(torch.randint(0, 10000, (1,)).item())
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return f"تم تغيير النمط. المعرف الجديد: {seed}"
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# Dictionary to map Arabic
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arabic_to_english_colors = {
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"أبيض": "White",
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"أسود": "Black",
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@@ -48,16 +49,31 @@ arabic_to_english_colors = {
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"بيج": "Beige"
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}
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#
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if not color_in_english:
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return f"اللون '{color}' غير موجود في القائمة. يرجى إدخال لون صحيح."
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prompt = f"paint the walls with {color_in_english} color"
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# Text CFG (guidance_scale) controls how strongly the model follows the prompt
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@@ -66,7 +82,7 @@ def change_color(image, color):
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# Image CFG: Simulated value for preserving the original image content
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image_cfg = 1.5
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# Apply the edit using InstructPix2Pix
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edited_image = pipe(
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prompt=prompt,
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image=image,
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@@ -78,7 +94,7 @@ def change_color(image, color):
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return edited_image
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# Gradio interface for image editing
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def image_interface():
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with gr.Blocks(css=".gradio-container {direction: rtl}") as demo_color:
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gr.Markdown("## تطبيق لتغيير لون الجدران")
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@@ -86,15 +102,11 @@ def image_interface():
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# Image upload (translated to Arabic)
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image_input = gr.Image(type="pil", label="قم برفع صورة للغرفة")
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#
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"أبيض", "أسود", "أزرق", "أخضر", "أحمر", "أصفر",
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"رمادي", "برتقالي", "بنفسجي", "وردي", "بني",
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"كحلي", "زهري", "فيروزي", "بيج"
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]
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# Dropdown for wall color
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# Display output image
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result_image = gr.Image(label="الصورة المعدلة")
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@@ -103,7 +115,7 @@ def image_interface():
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submit_button = gr.Button("قم بتغيير لون الجدران")
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# Define action on button click (directly pass dropdown color input to the function)
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submit_button.click(fn=change_color, inputs=[image_input,
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return demo_color
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@@ -116,10 +128,15 @@ def translate_prompt(prompt_ar):
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return prompt_en
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# General image editing function
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def edit_image(image,
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#
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# Text CFG (guidance_scale) controls how strongly the model follows the prompt
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text_cfg = 12.0
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@@ -140,16 +157,16 @@ def edit_image(image, instruction_ar):
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return edited_image
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# Gradio interface for general image editing in Arabic
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def general_editing_interface():
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with gr.Blocks(css=".gradio-container {direction: rtl}") as demo_general:
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gr.Markdown("## تطبيق تحرير الصور العام")
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# Image upload in Arabic
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image_input = gr.Image(type="pil", label="قم بتحميل صورة")
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# Textbox for instruction in Arabic
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instruction_input = gr.Textbox(label="أدخل التعليمات", placeholder="وصف التعديلات (مثل: 'اجعل الجو مثلج')")
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# Display output image
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result_image = gr.Image(label="الصورة المعدلة")
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import gradio as gr
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from PIL import Image
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import random
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from langdetect import detect, LangDetectException
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# Load the InstructPix2Pix model
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model_id = "timbrooks/instruct-pix2pix"
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seed = torch.manual_seed(torch.randint(0, 10000, (1,)).item())
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return f"تم تغيير النمط. المعرف الجديد: {seed}"
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# Dictionary to map Arabic to English colors
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arabic_to_english_colors = {
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"أبيض": "White",
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"أسود": "Black",
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"بيج": "Beige"
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}
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# List of English colors
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english_colors = [
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"White", "Black", "Blue", "Green", "Red", "Yellow",
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"Gray", "Orange", "Purple", "Pink", "Brown",
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"Navy", "Coral", "Teal", "Beige"
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]
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# Function to detect whether the text is in Arabic using langdetect
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def is_arabic(text):
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try:
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return detect(text) == 'ar' # 'ar' is the ISO 639-1 code for Arabic
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except LangDetectException:
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return False # If detection fails, assume it's not Arabic
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# Function to translate Arabic color to English and change the wall color
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def change_color(image, arabic_color, english_color):
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# If a color is chosen from the Arabic dropdown, use it, otherwise use the English dropdown
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if arabic_color:
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color_in_english = arabic_to_english_colors.get(arabic_color)
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elif english_color:
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color_in_english = english_color
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else:
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return "Please select a color."
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# Construct the prompt to change the wall color
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prompt = f"paint the walls with {color_in_english} color"
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# Text CFG (guidance_scale) controls how strongly the model follows the prompt
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# Image CFG: Simulated value for preserving the original image content
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image_cfg = 1.5
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# Apply the edit using InstructPix2Pix
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edited_image = pipe(
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prompt=prompt,
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image=image,
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return edited_image
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# Gradio interface for image editing with separate Arabic and English color dropdowns
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def image_interface():
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with gr.Blocks(css=".gradio-container {direction: rtl}") as demo_color:
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gr.Markdown("## تطبيق لتغيير لون الجدران")
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# Image upload (translated to Arabic)
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image_input = gr.Image(type="pil", label="قم برفع صورة للغرفة")
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# Dropdown for Arabic wall color
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arabic_color_input = gr.Dropdown(list(arabic_to_english_colors.keys()), label="اختر لون الجدران (بالعربية)")
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# Dropdown for English wall color
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english_color_input = gr.Dropdown(english_colors, label="Choose Wall Color (English)")
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# Display output image
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result_image = gr.Image(label="الصورة المعدلة")
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submit_button = gr.Button("قم بتغيير لون الجدران")
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# Define action on button click (directly pass dropdown color input to the function)
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submit_button.click(fn=change_color, inputs=[image_input, arabic_color_input, english_color_input], outputs=result_image)
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return demo_color
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return prompt_en
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# General image editing function (supports both Arabic and English)
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def edit_image(image, instruction):
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# Detect if the instruction is in Arabic
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if is_arabic(instruction):
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# Translate Arabic instruction to English
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instruction_en = translate_prompt(instruction)
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else:
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# If it's in English, use it directly
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instruction_en = instruction
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# Text CFG (guidance_scale) controls how strongly the model follows the prompt
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text_cfg = 12.0
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return edited_image
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# Gradio interface for general image editing in Arabic and English
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def general_editing_interface():
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with gr.Blocks(css=".gradio-container {direction: rtl}") as demo_general:
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gr.Markdown("## تطبيق تحرير الصور العام")
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# Image upload in Arabic and English
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image_input = gr.Image(type="pil", label="قم بتحميل صورة")
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# Textbox for instruction in Arabic or English
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instruction_input = gr.Textbox(label="أدخل التعليمات", placeholder="وصف التعديلات (مثل: 'اجعل الجو مثلج') أو 'Make it snowy'")
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# Display output image
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result_image = gr.Image(label="الصورة المعدلة")
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