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import gradio as gr
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image, ImageDraw, ImageFont
# Define the function to add text to the image
def add_text_to_image(image, text, text_color, text_size, text_position_x, text_position_y, font):
# Convert the image to a PIL Image object if it's not already
if isinstance(image, np.ndarray):
image = Image.fromarray(image.astype('uint8'), 'RGB')
# Create a drawing context
draw = ImageDraw.Draw(image)
# Load the font (you can specify a path to a .ttf file if needed)
try:
font = ImageFont.truetype(font, text_size)
except IOError:
# Fallback to a default font if the specified font is not available
font = ImageFont.load_default()
# Add the text to the image
draw.text((text_position_x, text_position_y), text, fill=text_color, font=font)
# Convert the image back to a numpy array for Gradio compatibility
return np.array(image)
# Gradio interface
iface = gr.Interface(
fn=add_text_to_image,
inputs=[
gr.Image(label="Input Image"),
gr.Textbox(label="Text"),
gr.ColorPicker(label="Text Color", value="#FFFFFF"),
gr.Slider(minimum=10, maximum=100, value=30, label="Text Size"),
gr.Slider(minimum=0, maximum=500, value=50, label="Text Position X"),
gr.Slider(minimum=0, maximum=500, value=50, label="Text Position Y"),
gr.Textbox(label="Font (e.g., 'arial.ttf')", value="arial.ttf")
],
outputs=gr.Image(label="Output Image"),
title="Add Text to Image",
description="Upload an image and add customizable text to it."
)
# Launch the Gradio app
iface.launch() |