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Browse files
app.py
CHANGED
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@@ -2,6 +2,12 @@ import streamlit as st
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import numpy as np
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import keras
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from keras.preprocessing import image
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# Remove whitespace from the top of the page
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reduce_header_height_style = """
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@@ -47,6 +53,7 @@ st.markdown(f'<div style="padding-top:30px; padding-bottom:2px; font-size:40px;f
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@st.cache_data
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def inicializa_modelo():
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print('carregando o modelo...')
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#with st.spinner('carregando o modelo...'):
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file = "modelo_raiox_TransferLearning_InceptionResNetV2"
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@@ -56,6 +63,14 @@ def inicializa_modelo():
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return model
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if 'model' not in st.session_state:
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with st.spinner('carregando o modelo...'):
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st.session_state.model = inicializa_modelo()
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@@ -85,11 +100,15 @@ st.markdown(f'<div style="color: #856404; background-color: #fff3cd; border-colo
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st.write("")
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st.write("")
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st.write("")
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st.write("")
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st.write("")
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st.write("")
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st.write("")
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footer="\
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<div > \
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import numpy as np
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import keras
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from keras.preprocessing import image
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<<<<<<< HEAD
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=======
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from huggingface_hub import from_pretrained_keras
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>>>>>>> 53fd989 (er)
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# Remove whitespace from the top of the page
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reduce_header_height_style = """
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@st.cache_data
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def inicializa_modelo():
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<<<<<<< HEAD
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print('carregando o modelo...')
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#with st.spinner('carregando o modelo...'):
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file = "modelo_raiox_TransferLearning_InceptionResNetV2"
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return model
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=======
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print('carregando o modelo...')
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model = from_pretrained_keras("valencar/modelo_raios_x")
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print('modelo carregado.')
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return model
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>>>>>>> 53fd989 (er)
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if 'model' not in st.session_state:
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with st.spinner('carregando o modelo...'):
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st.session_state.model = inicializa_modelo()
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st.write("")
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st.write("")
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<<<<<<< HEAD
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st.write("")
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st.write("")
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st.write("")
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st.write("")
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st.write("")
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=======
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>>>>>>> 53fd989 (er)
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footer="\
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<div > \
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