update app and requirements

app.py

@@ -1,64 +1,56 @@
 import gradio as gr
-# import cv2
-# from PIL import Image
-# from pillow_heif import register_heif_opener
-# import numpy as np
-# import imghdr
+import cv2
+from PIL import Image
+from pillow_heif import register_heif_opener
+import numpy as np
+import imghdr
 
-# def process_image(input_image, width = None, height = None):
-#     # Process the image here
-#     # For example, you can apply some image filters or transformations
-#     if input_image:
-#         # Convert the PIL image to OpenCV format
-#         image = Image.open(input_image)
-#         image = np.array(image)
-#         if width is None:
-#             width = image.shape[1]
-#         if height is None:
-#             height = image.shape[0]
-#         # Apply some image processing
-#         print(f"Width: {width}, Height: {height}")
-#         image = cv2.resize(image, (height, width))
-#         print(f"Image shape: {image.shape}")
-#         return image
-#     else:
-#         return None
+def process_image(input_image, width = None, height = None):
+    # Process the image here
+    # For example, you can apply some image filters or transformations
+    if input_image:
+        # Convert the PIL image to OpenCV format
+        image = Image.open(input_image)
+        image = np.array(image)
+        if width is None:
+            width = image.shape[1]
+        if height is None:
+            height = image.shape[0]
+        # Apply some image processing
+        print(f"Width: {width}, Height: {height}")
+        image = cv2.resize(image, (height, width))
+        print(f"Image shape: {image.shape}")
+        return image
+    else:
+        return None
     
-# def display_image_info(input_image):
-#     if not input_image:
-#         return "No image uploaded"
-#     try:
-#         format = imghdr.what(input_image)
-#         return f"The format of the image is '{format}'"
-#     except:
-#         return f"The image format is unknown. However  the file extension is '{input_image.split('.')[-1]}'"
+def display_image_info(input_image):
+    if not input_image:
+        return "No image uploaded"
+    try:
+        format = imghdr.what(input_image)
+        return f"The format of the image is '{format}'"
+    except:
+        return f"The image format is unknown. However  the file extension is '{input_image.split('.')[-1]}'"
 
-# with gr.Blocks("Image-Processing") as demo:
-#     with gr.Row():
-#         with gr.Column():
-#             input_image = gr.Image("input_image", type="filepath")
-#         with gr.Column():
-#             output_image = gr.Image("output_image", type="filepath")
-#     # ========= For width and height ==========
-#     with gr.Row():
-#         width = gr.Slider(1, 1000, value=256, label="Width")
-#         height = gr.Slider(1, 1000, value=192, label="Height")
-#     with gr.Row():
-#         output_textbox = gr.Textbox("output_textbox", type="text", label="Output Textbox")
+with gr.Blocks("Image-Processing") as demo:
+    with gr.Row():
+        with gr.Column():
+            input_image = gr.Image("input_image", type="filepath")
+        with gr.Column():
+            output_image = gr.Image("output_image", type="filepath")
+    # ========= For width and height ==========
+    with gr.Row():
+        width = gr.Slider(1, 1000, value=256, label="Width")
+        height = gr.Slider(1, 1000, value=192, label="Height")
+    with gr.Row():
+        output_textbox = gr.Textbox("output_textbox", type="text", label="Output Textbox")
         
-#     input_image.change(process_image, [input_image, width, height], output_image)   
-#     input_image.change(display_image_info, input_image, output_textbox) 
+    input_image.change(process_image, [input_image, width, height], output_image)   
+    input_image.change(display_image_info, input_image, output_textbox) 
     
-#     width.change(process_image, [input_image, width, height], output_image)
-#     height.change(process_image, [input_image, width, height], output_image)
+    width.change(process_image, [input_image, width, height], output_image)
+    height.change(process_image, [input_image, width, height], output_image)
 
-# demo.launch()
+demo.launch()
 
- 
-import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()

requirements.txt

@@ -1,2 +1,3 @@
 pillow
-pillow-avif-plugin
+pillow-avif-plugin
+opencv-python