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Build error
nounouille commited on
Commit ·
004c451
1
Parent(s): e49e74e
� Patch gestion erreurs + timeouts pour stabilité Hugging Face
Browse files
app.py
CHANGED
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@@ -1,8 +1,7 @@
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# app.py – Hugging Face Spaces avec liste dynamique depuis EC2
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import sys
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import os
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import requests
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import gradio as gr
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import base64
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from PIL import Image
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@@ -30,37 +29,46 @@ def segment_image(image: Image.Image):
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image.save(buffered, format="PNG")
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buffered.seek(0)
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files = {"file": ("input.png", buffered, "image/png")}
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response.raise_for_status()
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data = response.json()
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mask_bytes = base64.b64decode(data["mask_base64"])
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mask_image = Image.open(io.BytesIO(mask_bytes)).convert("RGB")
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overlay_img = overlay_mask_on_image(image, mask_image)
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return image, mask_image, overlay_img, f"{data['inference_time']} sec"
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except Exception as e:
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return None, None, None, f"Erreur : {str(e)}"
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def get_remote_image_names():
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try:
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response = requests.get(IMAGE_LIST_URL)
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response.raise_for_status()
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return response.json()
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except:
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return ["Erreur lors du chargement des noms"]
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def load_image_from_url(filename):
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try:
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url = IMAGE_BASE_URL + filename
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response = requests.get(url)
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response.raise_for_status()
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return Image.open(io.BytesIO(response.content)).convert("RGB")
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except Exception as e:
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print(f"
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return None
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with gr.Blocks(title="Segmentation d'Images Urbaines") as demo:
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gr.Markdown("# 🧠 Segmentation d'Images Urbaines")
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gr.Markdown("Upload une image ou sélectionne
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with gr.Row():
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input_image = gr.Image(type="pil", label="Image d'entrée")
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@@ -82,7 +90,5 @@ with gr.Blocks(title="Segmentation d'Images Urbaines") as demo:
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with gr.Accordion("🎨 Légende des classes", open=False):
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gr.Image(value=legend_img, label="Légende (fictive ici)", interactive=False)
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if __name__ == "__main__":
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demo.launch()
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# app.py – Hugging Face Spaces avec liste dynamique depuis EC2
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import requests
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from requests.exceptions import RequestException
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import gradio as gr
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import base64
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from PIL import Image
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image.save(buffered, format="PNG")
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buffered.seek(0)
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files = {"file": ("input.png", buffered, "image/png")}
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response = requests.post(API_URL, files=files, timeout=10)
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response.raise_for_status()
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data = response.json()
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mask_bytes = base64.b64decode(data["mask_base64"])
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mask_image = Image.open(io.BytesIO(mask_bytes)).convert("RGB")
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overlay_img = overlay_mask_on_image(image, mask_image)
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return image, mask_image, overlay_img, f"{data['inference_time']} sec"
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except RequestException as e:
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print(f"[ERREUR API EC2] {e}")
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return None, None, None, "Erreur : EC2 injoignable ou lente"
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except Exception as e:
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print(f"[ERREUR GRADIO] {e}")
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return None, None, None, f"Erreur : {str(e)}"
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def get_remote_image_names():
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try:
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response = requests.get(IMAGE_LIST_URL, timeout=5)
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response.raise_for_status()
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return response.json().get("files", [])
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except Exception as e:
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print(f"[ERREUR LISTE FICHIERS] {e}")
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return ["Erreur lors du chargement des noms"]
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def load_image_from_url(filename):
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try:
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url = IMAGE_BASE_URL + filename
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response = requests.get(url, timeout=5)
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response.raise_for_status()
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return Image.open(io.BytesIO(response.content)).convert("RGB")
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except Exception as e:
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print(f"[ERREUR CHARGEMENT IMAGE {filename}] {e}")
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return None
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with gr.Blocks(title="Segmentation d'Images Urbaines") as demo:
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gr.Markdown("# 🧠 Segmentation d'Images Urbaines")
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gr.Markdown("Upload une image ou sélectionne une image distante depuis EC2")
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with gr.Row():
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input_image = gr.Image(type="pil", label="Image d'entrée")
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with gr.Accordion("🎨 Légende des classes", open=False):
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gr.Image(value=legend_img, label="Légende (fictive ici)", interactive=False)
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if __name__ == "__main__":
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demo.launch()
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