Update app.py

app.py

@@ -1,8 +1,19 @@
 import gradio as gr
 import numpy as np
-import matplotlib.pyplot as plt
 from PIL import Image, ImageDraw, ImageFont
 
+# Define a dictionary to map color names to their RGB values
+COLOR_MAP = {
+    "white": (255, 255, 255),
+    "black": (0, 0, 0),
+    "red": (255, 0, 0),
+    "green": (0, 255, 0),
+    "blue": (0, 0, 255),
+    "yellow": (255, 255, 0),
+    "cyan": (0, 255, 255),
+    "magenta": (255, 0, 255),
+}
+
 # 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
@@ -19,8 +30,11 @@ def add_text_to_image(image, text, text_color, text_size, text_position_x, text_
         # Fallback to a default font if the specified font is not available
         font = ImageFont.load_default()
     
+    # Get the RGB color from the COLOR_MAP
+    color_rgb = COLOR_MAP.get(text_color, (255, 255, 255))  # Default to white if color not found
+    
     # Add the text to the image
-    draw.text((text_position_x, text_position_y), text, fill=text_color, font=font)
+    draw.text((text_position_x, text_position_y), text, fill=color_rgb, font=font)
     
     # Convert the image back to a numpy array for Gradio compatibility
     return np.array(image)
@@ -31,7 +45,7 @@ iface = gr.Interface(
     inputs=[
         gr.Image(label="Input Image"),
         gr.Textbox(label="Text"),
-        gr.ColorPicker(label="Text Color", value="#FFFFFF"),
+        gr.Dropdown(label="Text Color", choices=list(COLOR_MAP.keys()), value="white"),
         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"),