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Update app.py
Browse files
app.py
CHANGED
@@ -6,57 +6,55 @@ 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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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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return
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def
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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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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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@@ -64,82 +62,43 @@ def render_plain_text_image(text, font_size, width, height, bg_color, text_color
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margin = 10
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try:
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font_path =
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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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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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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,
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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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def handle_file_upload(file, font_size, width, height, bg_color, text_color,
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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,
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return "No file uploaded!"
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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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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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with gr.Row():
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convert_button = gr.Button("Convert Text to Image")
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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=
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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=
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)
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demo.launch()
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import os
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import matplotlib
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import math
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import tempfile
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from pathlib import Path
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# Thêm các font phổ biến
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COMMON_FONTS = [
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"Times New Roman",
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"Arial",
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"Calibri",
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"Helvetica",
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"Verdana",
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"Tahoma",
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"Georgia",
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"Roboto",
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"Open Sans",
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"Segoe UI"
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]
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def get_system_fonts():
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fonts = []
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common_fonts_found = []
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# Lấy tất cả font trong hệ thống
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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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actual_name = matplotlib.font_manager.FontProperties(fname=font).get_name()
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# Kiểm tra nếu là font phổ biến
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if any(common_font.lower() in actual_name.lower() for common_font in COMMON_FONTS):
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common_fonts_found.append((font_name, font))
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fonts.append((font_name, font))
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# Sắp xếp để font phổ biến lên đầu
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sorted_fonts = sorted(common_fonts_found, key=lambda x: COMMON_FONTS.index(
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next(cf for cf in COMMON_FONTS if cf.lower() in matplotlib.font_manager.FontProperties(fname=x[1]).get_name().lower())
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))
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sorted_fonts.extend([(f[0], f[1]) for f in fonts if f not in common_fonts_found])
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return [f[0] for f in sorted_fonts], {f[0]: f[1] for f in sorted_fonts}
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def save_image_to_file(img, format="PNG"):
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# Tạo temporary file
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temp_dir = Path(tempfile.gettempdir())
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temp_file = temp_dir / f"text_image.{format.lower()}"
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# Lưu ảnh
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img.save(temp_file, format=format)
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return str(temp_file)
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[Previous functions remain the same: parse_color, calculate_text_dimensions, create_text_segment, render_math_image]
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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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margin = 10
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try:
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font_path = FONT_PATHS.get(font_name, 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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[Rest of the function remains the same]
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def text_to_image(input_text, font_size, width, height, bg_color, text_color,
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mode, font_name, align, image_format, preview_mode):
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if mode == "Plain Text":
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img = render_plain_text_image(input_text, font_size, width, height,
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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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if preview_mode:
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return img
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else:
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# Return file path for download
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return save_image_to_file(img, image_format)
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def handle_file_upload(file, font_size, width, height, bg_color, text_color,
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mode, font_name, align, image_format, preview_mode):
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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,
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mode, font_name, align, image_format, preview_mode)
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return "No file uploaded!"
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# Get fonts and create font paths dictionary
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font_list, FONT_PATHS = get_system_fonts()
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default_font = next((f for f in font_list if "times" in f.lower()
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or "arial" in f.lower()), 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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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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preview_mode = gr.Checkbox(label="Preview Mode", value=True,
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info="Uncheck to get download link instead of preview")
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output = gr.Variable()
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preview_image = gr.Image(label="Preview", visible=True)
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download_link = gr.File(label="Download Image", visible=False)
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def update_output(result, preview_mode):
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if preview_mode:
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return {
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preview_image: result,
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download_link: gr.update(visible=False),
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preview_image: gr.update(visible=True)
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}
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else:
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return {
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download_link: result,
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preview_image: gr.update(visible=False),
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download_link: gr.update(visible=True)
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}
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with gr.Row():
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convert_button = gr.Button("Convert Text to Image")
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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, preview_mode
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],
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outputs=[output]
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).then(
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update_output,
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inputs=[output, preview_mode],
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outputs=[preview_image, download_link]
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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, preview_mode
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],
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outputs=[output]
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).then(
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update_output,
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inputs=[output, preview_mode],
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outputs=[preview_image, download_link]
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)
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preview_mode.change(
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update_output,
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inputs=[output, preview_mode],
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outputs=[preview_image, download_link]
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)
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demo.launch()
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