Update app.py
Browse files
app.py
CHANGED
@@ -178,16 +178,20 @@ if uploaded_file is not None:
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threshold = st.slider("Threshold", 0.0, 1.0, 0.0, 0.05) #, label_visibility="hidden")
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# Decompose button
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with col5: decompose = st.button('Decompose')
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with col6:
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with open("blank.txt", 'w') as f: pass
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with open("blank.txt", 'rb') as f: res = f.read()
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st.markdown("")
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st.markdown("")
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# st.markdown("""<style>[data-baseweb="select"] {margin-top: 16px;}</style>""", unsafe_allow_html=True)
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fname = uploaded_file.name.strip(".fits")
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# Make two columns for plots
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_, colA, colB, colC, _ = st.columns([bordersize,1,1,1,bordersize])
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@@ -203,14 +207,10 @@ if uploaded_file is not None:
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plot_prediction(y_pred_th)
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print(type(download))
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if decompose or download:
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download.disabled = False
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image_decomposed = decompose_cavity(y_pred_th)
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plot_decomposed(image_decomposed)
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res = f.read()
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download.data=res
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threshold = st.slider("Threshold", 0.0, 1.0, 0.0, 0.05) #, label_visibility="hidden")
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# Decompose button
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with col5: decompose = st.button('Decompose', key="decompose")
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with col6:
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st.markdown("")
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st.markdown("")
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# st.markdown("""<style>[data-baseweb="select"] {margin-top: 16px;}</style>""", unsafe_allow_html=True)
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fname = uploaded_file.name.strip(".fits")
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shutil.make_archive("predictions", 'zip', "predictions")
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with open('predictions.zip', 'rb') as f:
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res = f.read()
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download = st.download_button(label="Download", data=res,
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file_name=f'{fname}_{int(scale*128)}.zip',
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disabled=st.session_state.get("disabled", True),
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mime="application/octet-stream")
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# Make two columns for plots
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_, colA, colB, colC, _ = st.columns([bordersize,1,1,1,bordersize])
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plot_prediction(y_pred_th)
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print(type(download))
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if decompose or download:
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image_decomposed = decompose_cavity(y_pred_th)
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plot_decomposed(image_decomposed)
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if st.session_state.get("decompose", True):
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st.session_state.disabled = False
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