test v4

app.py

@@ -1,28 +1,37 @@
+import os
 import gradio as gr
+from gradio_imageslider import ImageSlider
+from loadimg import load_img
+
 import requests
 import base64
-import os
 from PIL import Image
-import gradio as gr
-os.getenv('BACKEND_URL')
-import numpy as np
 from io import BytesIO
-from gradio_imageslider import ImageSlider  # Assicurati di avere questa libreria installata
-from loadimg import load_img  # Assicurati che questa funzione sia disponibile
+import numpy as np
 
-from dotenv import load_dotenv
+output_folder = 'output_images'
+if not os.path.exists(output_folder):
+    os.makedirs(output_folder)
 
-def numpy_to_pil(image):
-    """Convert a numpy array to a PIL Image."""
-    if image.dtype == np.uint8:  # Most common case
-        mode = "RGB"
-    else:
-        mode = "F"  # Floating point
-    return Image.fromarray(image.astype('uint8'), mode)
 
+def fn(image):
+    im = load_img(image, output_type="pil")
+    im = im.convert("RGB")
+    origin = im.copy()
+    image = process(im)
+    image_path = os.path.join(output_folder, "no_bg_image.png")
+    image.save(image_path)
+    return (image, origin), image_path
 
-def process_image(image):
-    return [image, image]
+
+def process(image):
+    def numpy_to_pil(image):
+        """Convert a numpy array to a PIL Image."""
+        if image.dtype == np.uint8:  # Most common case
+            mode = "RGB"
+        else:
+            mode = "F"  # Floating point
+        return Image.fromarray(image.astype('uint8'), mode)
 
     image = numpy_to_pil(image)  # Convert numpy array to PIL Image
     buffered = BytesIO()
@@ -35,17 +44,40 @@ def process_image(image):
     result = response.json()
     processed_image_b64 = result["processed_image"]
     processed_image = Image.open(BytesIO(base64.b64decode(processed_image_b64)))
-    return [image, processed_image]
+    return processed_image  # Return the original and processed images
+
+
+def process_file(f):
+    name_path = f.rsplit(".", 1)[0] + ".png"
+    im = load_img(f, output_type="pil")
+    im = im.convert("RGB")
+    transparent = process(im)
+    transparent.save(name_path)
+    return name_path
+
+
+slider1 = ImageSlider(label="RMBG-2.0", type="pil")
+slider2 = ImageSlider(label="RMBG-2.0", type="pil")
+image = gr.Image(label="Upload an image")
+image2 = gr.Image(label="Upload an image", type="filepath")
+text = gr.Textbox(label="Paste an image URL")
+png_file = gr.File(label="output png file")
+
+chameleon = load_img("elephant.jpg", output_type="pil")
+
+url = "http://farm9.staticflickr.com/8488/8228323072_76eeddfea3_z.jpg"
+
+tab1 = gr.Interface(
+    fn, inputs=image, outputs=[slider1, gr.File(label="output png file")], examples=[chameleon], api_name="image"
+)
 
+tab2 = gr.Interface(fn, inputs=text, outputs=[slider2, gr.File(label="output png file")], examples=[url],
+                    api_name="text")
+tab3 = gr.Interface(process_file, inputs=image2, outputs=png_file, examples=["elephant.jpg"], api_name="png")
 
-image = gr.Image(label="Upload a photo")
-output_slider = ImageSlider(label="Processed photo", type="pil")
-demo = gr.Interface(
-    fn=process_image,
-    inputs=image,
-    outputs=output_slider,
-    title="Magic Eraser",
-    #examples=[["elephant.jpg"]]  # Esempio locale
+demo = gr.TabbedInterface(
+    [tab1, tab2], ["input image", "input url"], title=" background removal"
 )
 
-demo.launch()
+if __name__ == "__main__":
+    demo.launch(show_error=True)