Spaces:
Sleeping
Sleeping
fschwartzer
commited on
Commit
·
7f3d9d9
1
Parent(s):
6262455
Update app.py
Browse files
app.py
CHANGED
@@ -70,22 +70,6 @@ for index, row in data.iterrows():
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if distance > max_distance:
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max_distance = distance
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# Calculate a zoom level based on the radius
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if radius_visible:
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radius_zoom_mapping = {
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500: 15,
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1000: 14,
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2000: 13,
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4000: 12,
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5000: 11
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}
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# Find the closest radius in the mapping
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closest_radius = min(radius_zoom_mapping.keys(), key=lambda x: abs(x - radius_in_meters))
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# Set the zoom level based on the mapping
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zoom_level = radius_zoom_mapping[closest_radius]
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# Create a sidebar for controls
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with st.sidebar:
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st.title('avalia.se')
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@@ -101,7 +85,24 @@ with st.sidebar:
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radius_visible = False # Hide radius slider for random coordinates
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max_distance_all = 0 # Initialize max_distance_all here
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# Geocode the custom address using the Google Maps API
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gmaps = googlemaps.Client(key='AIzaSyDoJ6C7NE2CHqFcaHTnhreOfgJeTk4uSH0') # Replace with your API key
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@@ -113,9 +114,9 @@ with st.sidebar:
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st.error("Erro: Não foi possível geocodificar o endereço fornecido. Por favor, verifique e tente novamente.")
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# Slider for setting the zoom level
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if selected_coords == 'Custom':
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#
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st.
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else:
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for index, row in data.iterrows():
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distance_all = calculate_distance(row['latitude'], row['longitude'], data['latitude'].mean(), data['longitude'].mean())
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@@ -152,7 +153,7 @@ if selected_coords == 'Custom' and radius_visible:
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# Add predicted Vunit values to filtered_data
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filtered_data['Predicted_Vunit'] = predicted_vunit
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with st.container():
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if selected_coords == 'Custom':
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st.map(filtered_data, zoom=zoom_level, use_container_width=True)
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if distance > max_distance:
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max_distance = distance
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# Create a sidebar for controls
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with st.sidebar:
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st.title('avalia.se')
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radius_visible = False # Hide radius slider for random coordinates
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max_distance_all = 0 # Initialize max_distance_all here
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# Slider for setting the radius
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if radius_visible:
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radius_in_meters = st.slider('Selecione raio (em metros)', min_value=100, max_value=5000, value=1000)
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# Calculate a zoom level based on the radius
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radius_zoom_mapping = {
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500: 15,
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1000: 14,
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2000: 13,
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4000: 12,
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5000: 11
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}
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# Find the closest radius in the mapping
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closest_radius = min(radius_zoom_mapping.keys(), key=lambda x: abs(x - radius_in_meters))
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# Set the zoom level based on the mapping
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zoom_level = radius_zoom_mapping[closest_radius]
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# Geocode the custom address using the Google Maps API
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gmaps = googlemaps.Client(key='AIzaSyDoJ6C7NE2CHqFcaHTnhreOfgJeTk4uSH0') # Replace with your API key
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st.error("Erro: Não foi possível geocodificar o endereço fornecido. Por favor, verifique e tente novamente.")
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# Slider for setting the zoom level
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if selected_coords == 'Custom' and not radius_visible:
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# Use the zoom level slider based on the entire dataset
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zoom_level = st.slider('Nível de zoom', min_value=1, max_value=15, value=zoom_level_all)
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else:
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for index, row in data.iterrows():
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distance_all = calculate_distance(row['latitude'], row['longitude'], data['latitude'].mean(), data['longitude'].mean())
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# Add predicted Vunit values to filtered_data
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filtered_data['Predicted_Vunit'] = predicted_vunit
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Display the map and filtered_data
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with st.container():
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if selected_coords == 'Custom':
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st.map(filtered_data, zoom=zoom_level, use_container_width=True)
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