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Update app.py
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app.py
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@@ -5,6 +5,8 @@ from PIL import Image
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import matplotlib.pyplot as plt
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import gradio as gr
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import os
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# Imports Hugging Face
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from huggingface_hub import hf_hub_download, login
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@@ -19,12 +21,25 @@ from inference_utils.inference import interactive_infer_image
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from inference_utils.output_processing import check_mask_stats
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from inference_utils.processing_utils import read_rgb, get_instances
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def init_huggingface():
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"""Initialise la connexion Hugging Face et télécharge le modèle."""
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hf_token = os.getenv('HF_TOKEN')
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if hf_token is None:
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raise ValueError("Hugging Face token not found. Please set the HF_TOKEN environment variable.")
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login(hf_token)
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return hf_hub_download(
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repo_id="microsoft/BiomedParse",
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filename="biomedparse_v1.pt",
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import matplotlib.pyplot as plt
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import gradio as gr
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import os
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import subprocess
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import sys
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# Imports Hugging Face
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from huggingface_hub import hf_hub_download, login
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from inference_utils.output_processing import check_mask_stats
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from inference_utils.processing_utils import read_rgb, get_instances
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def init_huggingface():
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"""Initialise la connexion Hugging Face et télécharge le modèle."""
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hf_token = os.getenv('HF_TOKEN')
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if hf_token is None:
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raise ValueError("Hugging Face token not found. Please set the HF_TOKEN environment variable.")
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login(hf_token)
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packages = [
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'openmpi-bin',
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'libopenmpi-dev'
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]
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command = ['sudo', 'apt-get', 'install', '-y'] + packages
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subprocess.run(
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command,
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check=True,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True
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)
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return hf_hub_download(
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repo_id="microsoft/BiomedParse",
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filename="biomedparse_v1.pt",
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