Spaces:
Sleeping
Sleeping
Christopher Román Jaimes commited on
Commit ·
551b39e
1
Parent(s): 26951fd
feat: add autocomplete ui.
Browse files- app.py +106 -0
- gdf_polygons_deploy.parquet +3 -0
- requirements.txt +5 -0
app.py
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import gradio as gr
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import folium
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import geopandas as gpd
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import requests
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import unidecode
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gdf_polygons = gpd.read_parquet("gdf_polygons_deploy.parquet")
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def get_polygon(gdf_polygons,x):
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polygon = gdf_polygons.query(f"(polygon_id == {x['polygon']['id']}) and (polygon_type == '{x['polygon']['type']}')")
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polygon = polygon.iloc[0].geometry
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return polygon
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def standardize_user_input(user_input):
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# lowercase
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user_input = user_input.lower()
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# strip
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user_input = user_input.strip()
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# remove accents
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user_input = unidecode.unidecode(user_input)
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return user_input
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def get_autocomplete(polygon_id_general: str = None, user_input: str = None):
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url = 'https://data.dev.dd360.mx/autocomplete/v1/data'
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data = {"last_search": polygon_id_general, "user_input": standardize_user_input(user_input) if user_input else None}
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try:
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response = requests.post(url, json=data, timeout=1)
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response_json = response.json()
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for item in response_json:
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item["polygon_id_general"] = str(item["polygon"]["type"]) + "_" + str(item["polygon"]["id"])
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item["polygon"] = get_polygon(gdf_polygons,item)
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item["latitude"] = item["centroid"]["latitude"]
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item["longitude"] = item["centroid"]["longitude"]
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return response_json
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except requests.exceptions.Timeout:
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return []
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except Exception:
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return []
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# Function to query DynamoDB based on user input
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def query_dynamodb(user_input, last_selection):
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if user_input:
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return get_autocomplete(user_input = user_input)
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if last_selection and last_selection[0]:
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return get_autocomplete(polygon_id_general = last_selection[0]["polygon_id_general"])
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return []
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# Function to update the dropdown based on user input
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def update_dropdown(query, last_selection):
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suggestions = query_dynamodb(query, last_selection)
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selected_value = suggestions[0]["address_recommendation"] if suggestions else ""
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return gr.update(choices=[s["address_recommendation"] for s in suggestions], value=selected_value), suggestions
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def show_map(selected_address, suggestions, last_selection):
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selected_coords = next((s for s in suggestions if s["address_recommendation"] == selected_address), None)
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if selected_coords:
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m = folium.Map(location=[selected_coords["latitude"], selected_coords["longitude"]], zoom_start=15)
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folium.Marker(
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location=[selected_coords["latitude"], selected_coords["longitude"]],
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popup=selected_coords["address_recommendation"],
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icon=folium.Icon(color='blue')
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).add_to(m)
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# Add the polygon to the map
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if 'polygon' in selected_coords:
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folium.GeoJson(
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selected_coords['polygon'],
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style_function=lambda x: {'color': 'orange', 'fillOpacity': 0.3}
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).add_to(m)
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map_html = m._repr_html_()
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# Update last_selection
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last_selection[0] = selected_coords # Update the last_selection with the current selection
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return map_html, last_selection # Return the HTML and the updated last_selection
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else:
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return None, last_selection # Return None if no selection
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with gr.Blocks() as demo:
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gr.Markdown("<h2 style='text-align: center; font-size: 40px;'>Address Autocomplete</h2>") # Larger Title
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gr.Markdown(
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"<ul>"
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"<li>Type an address to see matching suggestions.</li>"
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"<li>Selecting one will show its polygon.</li>"
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"<li>Previous searches will also suggest addresses.</li>"
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"</ul>"
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)
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query_input = gr.Textbox(label="Type your address")
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address_dropdown = gr.Dropdown(label="Address Suggestions", choices=[], value="", interactive=True)
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map_output = gr.HTML(label="Map")
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suggestions = gr.State([])
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last_selection = gr.State([None])
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query_input.change(fn=update_dropdown, inputs=[query_input, last_selection], outputs=[address_dropdown, suggestions])
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address_dropdown.change(fn=show_map, inputs=[address_dropdown, suggestions, last_selection], outputs=[map_output, last_selection])
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demo.launch()
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gdf_polygons_deploy.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd378b055b69179a68cbe3bc9bdf2dfc2bc96320194b2ceb05694ca9f40a33d3
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size 32512416
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requirements.txt
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pandas==2.2.2
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unidecode==1.3.8
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gradio==4.44.1
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folium==0.17.0
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geopandas==1.0.1
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