test

app_bck.py

@@ -1,54 +0,0 @@
-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
-
-from dotenv import load_dotenv
-
-# Carica le variabili di ambiente dal file .env
-load_dotenv()
-
-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")
-
-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()