Update app.py

app.py

@@ -2,26 +2,26 @@ import cv2 as cv
 import numpy as np
 import gradio as gr
 
-def nostalji(image):
-    # Görüntüyü NumPy dizisine dönüştür
+def nostalgic_effect(image):
+    # Convert the image to a NumPy array
     image = np.array(image)
-    # BGR'den RGB'ye dönüştür (Gradio RGB formatında alır)
+    # Convert from RGB to BGR (Gradio inputs in RGB, OpenCV works in BGR)
     image = cv.cvtColor(image, cv.COLOR_RGB2BGR)
-    # Gri tonlamaya dönüştür
+    # Convert to grayscale
     gray_image = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
     return gray_image
 
-# Gradio arayüzü oluşturma
+# Creating the Gradio interface
 with gr.Blocks() as demo:
-    gr.Markdown("# Görseli siyah beyaza çevir!")
-    gr.Markdown("Bir resim yükleyin ve siyah beyaza çevrilsin...")
+    gr.Markdown("# Convert Image to Black and White!")
+    gr.Markdown("Upload an image and see it transformed to black and white...")
     
     image_input = gr.Image(type='pil')
-    image_output = gr.Image(type="numpy", label="Oluşan Resim")
+    image_output = gr.Image(type="numpy", label="Converted Image")
     
-    # Fonksiyonu gradio bileşenlerine bağlama:
-    btn = gr.Button("Çevir")
-    btn.click(fn=nostalji, inputs=image_input, outputs=image_output)
+    # Connecting the function to Gradio components:
+    convert_btn = gr.Button("Convert")
+    convert_btn.click(fn=nostalgic_effect, inputs=image_input, outputs=image_output)
 
 if __name__ == "__main__":
     demo.launch()