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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 utils import
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st.
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)
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## Barra lateral
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st.sidebar.subheader("隆Esta mariposa no existe! Ni en Am茅rica Latina 馃く.")
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## st.sidebar.image("logo.png", width=200)
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st.sidebar.caption(
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f"[Modelo](https://huggingface.co/ceyda/butterfly_cropped_uniq1K_512) y [Dataset](https://huggingface.co/datasets/huggan/smithsonian_butterflies_subset) usados."
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st.sidebar.caption(f"*Disclaimers:*")
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st.sidebar.caption(
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"* Este demo es una versi贸n simplificada del creado por [Ceyda Cinarel](https://github.com/cceyda) y [Jonathan Whitaker](https://datasciencecastnet.home.blog/) ([link](https://huggingface.co/spaces/huggan/butterfly-gan)) durante el hackathon [HugGan](https://github.com/huggingface/community-events)."
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)
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st.sidebar.caption(
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"* Modelo basado en el [paper](https://openreview.net/forum?id=1Fqg133qRaI) *Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis*."
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)
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with st.spinner("Generando, espera un poco..."):
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ims = genera(modelo_gan, n_mariposas)
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st.session_state["ims"] = ims
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corre()
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ims = st.session_state["ims"]
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help="Estamos en pleno vuelo, puede tardar unos segundos.",
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)
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if ims is not None:
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cols = st.columns(
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for j, im in enumerate(ims):
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i = j %
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cols[i].image(im, use_column_width=True)
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import streamlit as st
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import os
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from utils import load_model, generate
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st.title('Image Generator with GAN')
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st.markdown('Butterflies generator')
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st.write("Token Access:", st.secrets["access_token"])
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# Sidebar
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st.sidebar.subheader('This butterfly does not exist, it is completely generated!')
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st.sidebar.image('assets/logo.jpeg', width=200)
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st.sidebar.caption('Demo was just created.')
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# Loading model
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repo_id = 'ceyda/butterfly_cropped_uniq1K_512'
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gan_model = load_model(repo_id)
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# Generate 4 butterflies
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n_butterflies = 4
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def run():
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with st.spinner('Generating...'):
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ims = generate(gan_model, n_butterflies)
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st.session_state['ims'] = ims
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if 'ims' not in st.session_state:
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st.session_state['ims'] = None
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run()
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ims = st.session_state['ims']
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run_button = st.button(
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'Generate butterflies',
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on_click=run,
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help='We are about to start to generate'
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if ims is not None:
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cols = st.columns(n_butterflies)
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for j, im in enumerate(ims):
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i = j % n_butterflies
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cols[i].image(im, use_column_width=True)
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