test

app.py

@@ -1,54 +1,19 @@
-import gradio as gr
-import requests
-import base64
 import os
-from PIL import Image
-from io import BytesIO
-import numpy as np
+import gradio as gr
+os.getenv('BACKEND_URL')
+
 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")
+def greet(name, intensity):
+    return "Hello, " + name + "!" * int(intensity)
 
-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
+    fn=greet,
+    inputs=["text", "slider"],
+    outputs=["text"],
 )
 
-if __name__ == "__main__":
-    demo.launch()
+demo.launch()

app_bck.py

@@ -0,0 +1,54 @@
+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()