initial retry

app.py

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+import cv2
+import os
+import numpy as np
+import gradio as gr
+from sklearn.cluster import KMeans
+import uvicorn
+import tempfile
+
+
+# -----------------------------
+#   FUNZIONI
+# -----------------------------
+
+def posterize (image, colors: int):
+  data = image.reshape(-1, 3).astype(np.float32)
+
+  kmeans = KMeans(n_clusters=colors, random_state=42, n_init='auto')
+  kmeans.fit(data)
+
+  labels = kmeans.predict(data)
+
+  centers = np.uint8(kmeans.cluster_centers_)
+  posterized_image = centers[labels]
+  posterized_image = posterized_image.reshape(image.shape)
+
+  return posterized_image
+
+def adjust_image (image, saturation: int, brightness: int):
+  hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
+  h, s, v = cv2.split(hsv_image)
+
+  s = cv2.add(s, saturation)  # Increase saturation by adding a constant
+  s = np.clip(s, 0, 255) # Clip values to 0-255
+
+  v = cv2.add(v, brightness)  # Increase brightness by adding a constant
+  v = np.clip(v, 0, 255) # Clip values to 0-255
+
+  adjusted_hsv = cv2.merge([h, s, v])
+  adjusted_color_image = cv2.cvtColor(adjusted_hsv, cv2.COLOR_HSV2BGR)
+  return adjusted_color_image
+
+
+def cartoonize (image, saturation: int, brightness: int, edge_cut: int, paint_effect: int, blur: int , colors: int):
+  gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+  gray = cv2.medianBlur(gray, blur)
+  adjusted_color_image = adjust_image(image, saturation, brightness)
+  posterized_image = posterize(adjusted_color_image, colors)
+  edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 9, edge_cut)
+  color = cv2.bilateralFilter(posterized_image, paint_effect*2+1, 250, 250)
+  cartoon = cv2.bitwise_and(color, color, mask=edges)
+  return cartoon
+
+# -----------------------------
+#   FILTRI
+# -----------------------------
+
+def apply_filters(image, blur, edge_cut, saturation, brightness, paint_effect, colors):
+
+    if image is None:
+        return None
+    
+    # Convertiamo da RGB (Gradio) a BGR (OpenCV)
+    img = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+   
+    cartoonized = cartoonize(img,saturation,brightness,edge_cut,paint_effect,blur,colors)
+
+    cartoonized = cv2.cvtColor(cartoonized, cv2.COLOR_BGR2RGB)
+
+    return cartoonized
+
+  
+with gr.Blocks() as demo:
+    gr.Markdown("# Cartoonizer")
+
+    with gr.Row():
+        input_img = gr.Image(label="Carica immagine",type='numpy')
+        output_img = gr.Image(label="Risultato")
+
+    with gr.Accordion("Filtri", open=True):
+        blur = gr.Slider(0, 10, value=5, step=1, label="Sfocatura")
+        edge_cut = gr.Slider(0, 9, value=4, step=1, label="Edge Cut")
+        saturation = gr.Slider(0, 50, value=30, step=5, label="Saturazione")
+        brightness = gr.Slider(0, 50, value=15, step=5, label="Luminosità")
+        paint_effect = gr.Slider(0, 9, value=9, step=1, label="Modalità Paint")
+        colors = gr.Slider(0, 20, value=12, step=1, label="Numero di colori")
+
+    btn = gr.Button("Applica Filtri")
+    save = gr.Button("Salva Immagine")
+
+    # Aggiornamento in tempo reale
+    btn.click(
+        apply_filters,
+        inputs=[input_img, blur, edge_cut, saturation,brightness,paint_effect, colors],
+        outputs=output_img
+    )
+
+    # Salvataggio file
+    
+    def save_image(image):
+        if image is None:
+            return None
+        
+        tmp_path = os.path.join(
+            tempfile.gettempdir(),
+            "cartoonized_image.png"  # fixed name or generate unique
+        )
+        bgr = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+        cv2.imwrite(tmp_path, bgr)
+        return tmp_path
+
+    save.click(save_image, inputs=output_img, outputs=gr.File(label="File Salvato"))
+
+# Avvio app
+demo.launch(debug=True)

requirements.txt

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+aiofiles==24.1.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.12.0
+brotli==1.2.0
+certifi==2025.11.12
+click==8.3.1
+fastapi==0.122.0
+ffmpy==1.0.0
+filelock==3.20.0
+fsspec==2025.10.0
+gradio==6.0.1
+gradio_client==2.0.0
+groovy==0.1.2
+h11==0.16.0
+hf-xet==1.2.0
+httpcore==1.0.9
+httpx==0.28.1
+huggingface_hub==1.1.6
+idna==3.11
+Jinja2==3.1.6
+joblib==1.5.2
+markdown-it-py==4.0.0
+MarkupSafe==3.0.3
+mdurl==0.1.2
+numpy==2.2.6
+opencv-python==4.12.0.88
+orjson==3.11.4
+packaging==25.0
+pandas==2.3.3
+pillow==12.0.0
+pydantic==2.12.4
+pydantic_core==2.41.5
+pydub==0.25.1
+Pygments==2.19.2
+python-dateutil==2.9.0.post0
+python-multipart==0.0.20
+pytz==2025.2
+PyYAML==6.0.3
+rich==14.2.0
+safehttpx==0.1.7
+scikit-learn==1.7.2
+scipy==1.16.3
+semantic-version==2.10.0
+shellingham==1.5.4
+six==1.17.0
+starlette==0.50.0
+threadpoolctl==3.6.0
+tomlkit==0.13.3
+tqdm==4.67.1
+typer==0.20.0
+typer-slim==0.20.0
+typing-inspection==0.4.2
+typing_extensions==4.15.0
+tzdata==2025.2
+uvicorn==0.38.0