jeremyLE-Ekimetrics commited on
Commit
09edb35
·
1 Parent(s): 69b90e4
Files changed (1) hide show
  1. biomap/streamlit_app.py +16 -8
biomap/streamlit_app.py CHANGED
@@ -57,8 +57,7 @@ def app(model):
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  st.markdown("<h1 style='text-align: center;'>🐢 Biomap by Ekimetrics 🐢</h1>", unsafe_allow_html=True)
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  st.markdown("<h2 style='text-align: center;'>Estimate Biodiversity score in the world with the help of land cover.</h2>", unsafe_allow_html=True)
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- st.markdown("<p style='text-align: center;'>The segmentation is an association of UNet and DinoV1 trained on the dataset CORINE.</p>", unsafe_allow_html=True)
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- st.markdown("<p style='text-align: center;'>Land use is divided into 6 differents classes :Each class is assigned a GBS score from 0 to 1</p>", unsafe_allow_html=True)
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  st.markdown("<p style='text-align: center;'>Buildings : 0.1 | Infrastructure : 0.1 | Cultivation : 0.4 | Wetland : 0.9 | Water : 0.9 | Natural green : 1 </p>", unsafe_allow_html=True)
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  st.markdown("<p style='text-align: center;'>The score is then average on the full image.</p>", unsafe_allow_html=True)
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@@ -78,20 +77,29 @@ def app(model):
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  with col_2:
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  tabs1, tabs2 = st.tabs(["TimeLapse", "Single Image"])
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  with tabs1:
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- lat = st.text_input("lattitude", value=selected_latitude)
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- long = st.text_input("longitude", value=selected_longitude)
 
 
 
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  years = list(range(MIN_YEAR, MAX_YEAR, 1))
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- start_date = st.selectbox("Start date", years)
 
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  end_years = [year for year in years if year > start_date]
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- end_date = st.selectbox("End date", end_years)
 
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  segment_interval = st.radio("Interval of time between two segmentation", options=['month','2months', 'year'],horizontal=True)
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  submit = st.button("Predict TimeLapse", use_container_width=True)
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  with tabs2:
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- lat = st.text_input("lat.", value=selected_latitude)
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- long = st.text_input("long.", value=selected_longitude)
 
 
 
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  date = st.text_input("date", "2021-01-01", placeholder="2021-01-01")
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  st.markdown("<h1 style='text-align: center;'>🐢 Biomap by Ekimetrics 🐢</h1>", unsafe_allow_html=True)
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  st.markdown("<h2 style='text-align: center;'>Estimate Biodiversity score in the world with the help of land cover.</h2>", unsafe_allow_html=True)
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+ st.markdown("<p style='text-align: center;'>The segmentation model is an association of UNet and DinoV1 trained on the dataset CORINE. Land use is divided into 6 differents classes :Each class is assigned a GBS score from 0 to 1</p>", unsafe_allow_html=True)
 
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  st.markdown("<p style='text-align: center;'>Buildings : 0.1 | Infrastructure : 0.1 | Cultivation : 0.4 | Wetland : 0.9 | Water : 0.9 | Natural green : 1 </p>", unsafe_allow_html=True)
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  st.markdown("<p style='text-align: center;'>The score is then average on the full image.</p>", unsafe_allow_html=True)
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  with col_2:
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  tabs1, tabs2 = st.tabs(["TimeLapse", "Single Image"])
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  with tabs1:
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+ col_tab1_1, col_tab1_2 = st.columns(2)
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+ with col_tab1_1:
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+ lat = st.text_input("lattitude", value=selected_latitude)
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+ with col_tab1_2:
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+ long = st.text_input("longitude", value=selected_longitude)
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+ col_tab1_11, col_tab1_22 = st.columns(2)
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  years = list(range(MIN_YEAR, MAX_YEAR, 1))
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+ with col_tab1_11:
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+ start_date = st.selectbox("Start date", years)
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  end_years = [year for year in years if year > start_date]
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+ with col_tab1_22:
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+ end_date = st.selectbox("End date", end_years)
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  segment_interval = st.radio("Interval of time between two segmentation", options=['month','2months', 'year'],horizontal=True)
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  submit = st.button("Predict TimeLapse", use_container_width=True)
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  with tabs2:
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+ col_tab2_1, col_tab2_2 = st.columns(2)
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+ with col_tab2_1:
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+ lat = st.text_input("lat.", value=selected_latitude)
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+ with col_tab2_2:
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+ long = st.text_input("long.", value=selected_longitude)
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  date = st.text_input("date", "2021-01-01", placeholder="2021-01-01")
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