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Update app.py
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app.py
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# import streamlit as st
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# from transformers import pipeline
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# from PIL import Image
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print("hello")
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# MODEL_1 = "google/vit-base-patch16-224"
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# MIN_ACEPTABLE_SCORE = 0.1
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# MAX_N_LABELS = 5
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("image-classification", model="google/efficientnet-b0")
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# import streamlit as st
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# from transformers import pipeline
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# from PIL import Image
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# MODEL_1 = "google/vit-base-patch16-224"
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# MIN_ACEPTABLE_SCORE = 0.1
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# MAX_N_LABELS = 5
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