first commit

.gitignore

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+/config.yaml

app.py

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+import gradio as gr
+import requests
+import base64
+import os
+from PIL import Image
+from io import BytesIO
+import numpy as np
+from gradio_imageslider import ImageSlider  # Assicurati di avere questa libreria installata
+from loadimg import load_img  # Assicurati che questa funzione sia disponibile
+
+
+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 process_image(image):
+    image = numpy_to_pil(image)  # Convert numpy array to PIL Image
+    buffered = BytesIO()
+    image.save(buffered, format="PNG")
+    img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
+    response = requests.post(
+        os.getenv('BACKEND_URL'),
+        files={"file": ("image.png", base64.b64decode(img_str), "image/png")}
+    )
+    result = response.json()
+    processed_image_b64 = result["processed_image"]
+    processed_image = Image.open(BytesIO(base64.b64decode(processed_image_b64)))
+    return [image, processed_image]  # Return the original and processed images
+
+
+# Carica l'esempio di immagine
+chameleon = load_img("elephant.jpg", output_type="pil")
+url = "http://farm9.staticflickr.com/8488/8228323072_76eeddfea3_z.jpg"
+
+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
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+gradio_imageslider
+requests
+pillow
+loadimg>=0.1.1
+numpy