Create app.py

app.py

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+import cv2
+import numpy as np
+import gradio as gr
+
+# Farklı filtreleri tanımlama
+def apply_filter(image, filter_type):
+    if filter_type == "Blur":
+        return cv2.GaussianBlur(image, (15, 15), 0)
+    elif filter_type == "Sharpen":
+        sharpen_kernel = np.array([
+            [0, -1, 0],
+            [-1, 5, -1],
+            [0, -1, 0]
+        ])
+        return cv2.filter2D(image, -1, sharpen_kernel)
+    elif filter_type == "Edge Detection":
+        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+        edges = cv2.Canny(gray, 100, 200)
+        return cv2.cvtColor(edges, cv2.COLOR_GRAY2BGR)
+    elif filter_type == "Grayscale":
+        return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    elif filter_type == "Sepia":
+        sepia_filter = np.array([
+            [0.272, 0.534, 0.131],
+            [0.349, 0.686, 0.168],
+            [0.393, 0.769, 0.189]
+        ])
+        return cv2.transform(image, sepia_filter)
+    elif filter_type == "Negative":
+        return cv2.bitwise_not(image)
+    elif filter_type == "Emboss":
+        emboss_kernel = np.array([
+            [-2, -1, 0],
+            [-1, 1, 1],
+            [0, 1, 2]
+        ])
+        return cv2.filter2D(image, -1, emboss_kernel)
+    else:
+        return image
+
+# Gradio arayüz fonksiyonu
+def process_image(image, filter_type):
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    output_image = apply_filter(image, filter_type)
+    if filter_type == "Grayscale":
+        return output_image  # Grayscale çıktı zaten tek kanallı olur
+    else:
+        return cv2.cvtColor(output_image, cv2.COLOR_BGR2RGB)
+
+# Gradio arayüzü tanımlama
+filter_choices = [
+    "Original", "Blur", "Sharpen", "Edge Detection", 
+    "Grayscale", "Sepia", "Negative", "Emboss"
+]
+
+interface = gr.Interface(
+    fn=process_image,
+    inputs=[
+        gr.Image(type="numpy", label="Upload Image"),
+        gr.Radio(choices=filter_choices, label="Choose Filter")
+    ],
+    outputs=gr.Image(type="numpy", label="Filtered Image"),
+    title="Advanced Image Filter Application",
+    description="Upload an image and apply various filters using OpenCV."
+)
+
+# Arayüzü başlat
+interface.launch()