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Upload app.py
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app.py
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@@ -10,6 +10,7 @@ from torchvision.utils import make_grid
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from PIL import Image
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from streamlit_lottie import st_lottie
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import requests
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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@@ -98,6 +99,12 @@ def main():
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with st.sidebar:
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st_lottie(lottie_penguin, height=200)
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st.sidebar.markdown(
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"""
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___
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@@ -121,11 +128,16 @@ def main():
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)
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st.header("Welcome to FastGAN")
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checked = st.checkbox('Click here if you want to create one of your own !')
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if
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show_model_summary(True)
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col11, col12, col13 = st.columns([3,3.5,3.5])
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with col11:
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img_type = st.selectbox("Choose type of image to generate", index=0,
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from PIL import Image
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from streamlit_lottie import st_lottie
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from streamlit_option_menu import option_menu
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import requests
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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with st.sidebar:
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st_lottie(lottie_penguin, height=200)
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choose = option_menu("FastGAN",
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["Model Gallery", "Create your own images"],
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#icons=['house', 'camera fill'],
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menu_icon="app-indicator", default_index=0,
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styles={"container": {"border-radius": ".0rem"}}
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)
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st.sidebar.markdown(
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"""
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___
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)
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st.header("Welcome to FastGAN")
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if choose == 'Model Gallery':
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show_model_summary(True)
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elif choose == 'Create your own images':
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#checked = st.checkbox('Click here if you want to create one of your own !')
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# if not checked:
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# show_model_summary(True)
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# if checked:
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# show_model_summary(False)
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col11, col12, col13 = st.columns([3,3.5,3.5])
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with col11:
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img_type = st.selectbox("Choose type of image to generate", index=0,
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