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Delete app (6).py
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app (6).py
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import gradio as gr
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import matplotlib.pyplot as plt
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from io import BytesIO
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from PIL import Image, ImageDraw, ImageFont
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import textwrap
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import os
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import matplotlib
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import math
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def get_system_fonts():
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fonts = []
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for font in matplotlib.font_manager.findSystemFonts(fontpaths=None, fontext='ttf'):
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font_name = os.path.basename(font)
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fonts.append(font_name)
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return sorted(set(fonts))
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def parse_color(color):
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if isinstance(color, str) and color.startswith('rgba'):
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color = color.replace('rgba', '').strip('()').split(',')
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return tuple(int(float(c.strip())) for c in color[:3])
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return color
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def calculate_text_dimensions(text, font, max_width, margin):
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lines = []
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for line in text.split('\n'):
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lines.extend(textwrap.wrap(line, width=int(max_width / font.size * 1.8)))
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bbox = font.getbbox('Ay')
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line_height = bbox[3] - bbox[1]
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total_height = line_height * len(lines)
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return lines, line_height, total_height
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def create_text_segment(lines, start_idx, max_lines, width, height, bg_color, text_color, font, align, margin):
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img = Image.new("RGB", (width, height), color=bg_color)
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draw = ImageDraw.Draw(img)
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bbox = font.getbbox('Ay')
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line_height = bbox[3] - bbox[1]
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y = margin
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end_idx = min(start_idx + max_lines, len(lines))
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segment_lines = lines[start_idx:end_idx]
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for line in segment_lines:
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bbox = font.getbbox(line)
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line_width = bbox[2] - bbox[0]
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if align == 'Left':
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x = margin
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elif align == 'Center':
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x = (width - line_width) // 2
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else: # Right alignment
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x = width - line_width - margin
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draw.text((x, y), line, fill=text_color, font=font)
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y += line_height
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return img, end_idx
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def render_plain_text_image(text, font_size, width, height, bg_color, text_color, font_name, align):
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bg_color = parse_color(bg_color)
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text_color = parse_color(text_color)
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margin = 10
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try:
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font_path = matplotlib.font_manager.findfont(font_name)
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font = ImageFont.truetype(font_path, font_size)
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except Exception:
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font = ImageFont.load_default()
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# Calculate dimensions
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max_width = width - 2 * margin
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lines, line_height, total_text_height = calculate_text_dimensions(text, font, max_width, margin)
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# Calculate how many lines can fit in one segment
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max_lines_per_segment = (height - 2 * margin) // line_height
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# Calculate number of segments needed
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num_segments = math.ceil(len(lines) / max_lines_per_segment)
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# Create segments
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segments = []
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current_line = 0
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for i in range(num_segments):
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segment_img, current_line = create_text_segment(
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lines, current_line, max_lines_per_segment,
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width, height, bg_color, text_color, font, align, margin
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)
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segments.append(segment_img)
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# Combine all segments vertically
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total_height = len(segments) * height
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final_image = Image.new("RGB", (width, total_height), color=bg_color)
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for i, segment in enumerate(segments):
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final_image.paste(segment, (0, i * height))
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return final_image
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def render_math_image(text, font_size, width, height, bg_color, text_color):
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bg_color = parse_color(bg_color)
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text_color = parse_color(text_color)
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fig, ax = plt.subplots(figsize=(width / 100, height / 100), facecolor=bg_color)
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ax.set_facecolor(bg_color)
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ax.axis('off')
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if not (text.startswith(r"$") and text.endswith(r"$")):
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text = rf"${text}$"
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ax.text(0.5, 0.5, text, fontsize=font_size, ha='center', va='center', color=text_color)
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buf = BytesIO()
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plt.savefig(buf, format='png', bbox_inches='tight', pad_inches=0)
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plt.close(fig)
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buf.seek(0)
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img = Image.open(buf)
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return img
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def text_to_image(input_text, font_size, width, height, bg_color, text_color, mode, font_name, align, image_format):
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if mode == "Plain Text":
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img = render_plain_text_image(input_text, font_size, width, height, bg_color, text_color, font_name, align)
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elif mode == "LaTeX Math":
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img = render_math_image(input_text, font_size, width, height, bg_color, text_color)
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else:
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return "Invalid mode selected!"
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return img
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def handle_file_upload(file, font_size, width, height, bg_color, text_color, mode, font_name, align, image_format):
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if file is not None:
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file_path = file[0]
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with open(file_path, "r", encoding="utf-8") as f:
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text = f.read()
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return text_to_image(text, font_size, width, height, bg_color, text_color, mode, font_name, align, image_format)
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return "No file uploaded!"
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font_list = get_system_fonts()
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default_font = "DejaVuSans.ttf" if "DejaVuSans.ttf" in font_list else font_list[0]
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with gr.Blocks() as demo:
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gr.Markdown("# 🖼️ Text to Image Converter")
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with gr.Row():
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input_text = gr.Textbox(label="Enter Text", placeholder="Type or paste text here...", lines=5)
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file_input = gr.File(label="Upload a Text File", type="filepath")
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with gr.Row():
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font_size = gr.Slider(10, 100, value=30, label="Font Size")
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font_name = gr.Dropdown(choices=font_list, value=default_font, label="Font")
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align = gr.Radio(["Left", "Center", "Right"], label="Text Alignment", value="Center")
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with gr.Row():
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width = gr.Slider(200, 2000, value=800, label="Image Width")
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height = gr.Slider(200, 2000, value=600, label="Base Height")
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with gr.Row():
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bg_color = gr.ColorPicker(label="Background Color", value="#FFFFFF")
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text_color = gr.ColorPicker(label="Text Color", value="#000000")
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with gr.Row():
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mode = gr.Radio(["Plain Text", "LaTeX Math"], label="Rendering Mode", value="Plain Text")
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image_format = gr.Radio(["PNG", "JPEG"], label="Image Format", value="PNG")
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output_image = gr.Image(label="Generated Image")
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with gr.Row():
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convert_button = gr.Button("Convert Text to Image")
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file_convert_button = gr.Button("Convert File to Image")
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convert_button.click(
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text_to_image,
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inputs=[
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input_text, font_size, width, height, bg_color, text_color,
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mode, font_name, align, image_format
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],
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outputs=output_image
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)
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file_convert_button.click(
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handle_file_upload,
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inputs=[
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file_input, font_size, width, height, bg_color, text_color,
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mode, font_name, align, image_format
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],
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outputs=output_image
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)
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demo.launch()
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