rollback streamlit version

app.py

@@ -6,9 +6,9 @@
 import os
 import pandas as pd
 import matplotlib.pyplot as plt
-from pandasai.llm.openai import OpenAI
-from pandasai import Agent
-from pandasai.responses.streamlit_response import StreamlitResponse
+# from pandasai.llm.openai import OpenAI
+# from pandasai import Agent
+# from pandasai.responses.streamlit_response import StreamlitResponse
 import leafmap.maplibregl as leafmap
 
 st.set_page_config(layout="wide",
@@ -41,9 +41,9 @@
 
 
 ## chatbot
-llm = OpenAI(api_token=st.secrets["OPENAI_API_KEY"])
-df1 = pd.read_csv("data.csv")
-agent = Agent([df1], config={"verbose": True, "response_parser": StreamlitResponse, "llm": llm})
+# llm = OpenAI(api_token=st.secrets["OPENAI_API_KEY"])
+# df1 = pd.read_csv("data.csv")
+# agent = Agent([df1], config={"verbose": True, "response_parser": StreamlitResponse, "llm": llm})
 
 year = st.slider("Select a year", 1988, 2024, 2022, 1)
 
@@ -86,6 +86,7 @@ def get_passes(votes):
         .mutate(percent_passed=(_.passes / _.total).round(2),
                 color=ibis.case().when(_.party == "DEMOCRAT", COLORS["dem_blue"]).else_(COLORS["rep_red"]).end())
         .to_pandas())
+
 
 
 # cumulative funding over time 
@@ -294,31 +295,31 @@ def get_style_party(jurisdiction):
     justice_toggle = st.toggle("Climate and Economic Justice")
     party_toggle = st.toggle("Political Parties")
 
-    st.divider()
+    # st.divider()
 
-    '''
-    ## Data Assistant (experimental)
+    # '''
+    # ## Data Assistant (experimental)
 
-    Ask questions about the LandVote data, like:
+    # Ask questions about the LandVote data, like:
 
-    - What are the top states for approved conservation funds?
-    - Plot the total funds spent in conservation each year.
-    - What city has approved the most funds in a single measure? What was the description of that vote?
-    - Which state has had largest number measures fail? What is that as a fraction of it's total measures?
-    '''
+    # - What are the top states for approved conservation funds?
+    # - Plot the total funds spent in conservation each year.
+    # - What city has approved the most funds in a single measure? What was the description of that vote?
+    # - Which state has had largest number measures fail? What is that as a fraction of it's total measures?
+    # '''
 
-    prompt = st.chat_input("Ask about the data")
-    if prompt:
-        with st.spinner():
-            resp = agent.chat(prompt)
-            if os.path.isfile('exports/charts/temp_chart.png'):
-                im = plt.imread('exports/charts/temp_chart.png')
-                st.image(im)
-                os.remove('exports/charts/temp_chart.png')
-            st.write(resp)
+    # prompt = st.chat_input("Ask about the data")
+    # if prompt:
+    #     with st.spinner():
+    #         resp = agent.chat(prompt)
+    #         if os.path.isfile('exports/charts/temp_chart.png'):
+    #             im = plt.imread('exports/charts/temp_chart.png')
+    #             st.image(im)
+    #             os.remove('exports/charts/temp_chart.png')
+    #         st.write(resp)
 
 
-m = leafmap.Map(style="positron", center=(-100, 40), zoom=3)
+m = leafmap.Map(style="positron", center=(-100, 40), zoom=3, use_message_queue=True)
 
 
 if social_toggle:
@@ -335,13 +336,13 @@ def get_style_party(jurisdiction):
 #compute percentage passed in given year 
 passed_year = votes.filter(_.year == year).filter(_.Status.isin(["Pass","Pass*"])).count().execute()
 total_year= votes.filter(_.year == year).count().execute()
-year_passed = (passed_year/total_year*100).round(2)
+year_passed = round(passed_year/total_year*100,2)
 f"{year_passed}% Measures Passed in {year}"  
 
 #compute percentage passed over entire dataset
 passed = votes.filter(_.Status.isin(["Pass","Pass*"])).count().execute()
 total = votes.count().execute()
-overall_passed = (passed/total*100).round(2)
+overall_passed = round(passed/total*100,2)
 f"{overall_passed}% Measures Passed from 1988 - 2024 \n"  
 
 
@@ -363,8 +364,8 @@ def get_style_party(jurisdiction):
 
 
 # display charts
-df_passes = get_passes(votes)
-st.altair_chart(create_chart(df_passes, "percent_passed", "Percent Passed","% of Measures Passed", [COLORS["dem_blue"], COLORS["rep_red"]], chart_type="line"), use_container_width=True)
+# df_passes = get_passes(votes)
+# st.altair_chart(create_chart(df_passes, "percent_passed", "Percent Passed","% of Measures Passed", [COLORS["dem_blue"], COLORS["rep_red"]], chart_type="line"), use_container_width=True)
 
 df_funding = funding_chart(votes)
 st.altair_chart(create_chart(df_funding, "cumulative_funding", "Billions of Dollars", "Cumulative Funding", COLORS["dark_green"], chart_type="bar"), use_container_width=True)

requirements.txt

@@ -1,162 +1,19 @@
-aiohappyeyeballs==2.4.0
-aiohttp==3.10.5
-aiosignal==1.3.1
-altair==5.4.1
-annotated-types==0.7.0
-anyio==4.4.0
-anywidget==0.9.13
-appdirs==1.4.4
-asgiref==3.8.1
-asttokens==2.4.1
-async-timeout==4.0.3
-atpublic==5.0
-attrs==24.2.0
-beautifulsoup4==4.12.3
-blinker==1.8.2
-branca==0.7.2
-cachetools==5.5.0
-certifi==2024.8.30
-charset-normalizer==3.3.2
-click==8.1.7
-colour==0.1.5
-comm==0.2.2
-contourpy==1.3.0
-cycler==0.12.1
-dataclasses-json==0.6.7
-decorator==5.1.1
-distro==1.9.0
-duckdb==1.0.0
-duckdb_engine==0.13.1
-exceptiongroup==1.2.2
-executing==2.0.1
-filelock==3.15.4
-folium==0.17.0
-fonttools==4.53.1
-frozenlist==1.4.1
-gdown==5.2.0
-geojson==3.1.0
-geopandas==1.0.1
-gitdb==4.0.11
-GitPython==3.1.43
-greenlet==3.0.3
-h11==0.14.0
-htmltools==0.5.3
-httpcore==1.0.5
-httpx==0.27.2
-ibis-framework==9.4.0
-idna==3.8
-ipyevents==2.0.2
-ipyfilechooser==0.6.0
-ipyleaflet==0.19.2
-ipython==8.18.0
-ipytree==0.2.2
-ipyvue==1.11.1
-ipyvuetify==1.10.0
-ipywidgets==8.1.5
-jedi==0.19.1
-Jinja2==3.1.4
-jiter==0.5.0
-jsonpatch==1.33
-jsonpointer==3.0.0
-jsonschema==4.23.0
-jsonschema-specifications==2023.12.1
-jupyter-leaflet==0.19.2
-jupyterlab_widgets==3.0.13
-kiwisolver==1.4.6
-langchain==0.2.16
-langchain-community==0.2.16
-langchain-core==0.2.38
-langchain-openai==0.1.23
-langchain-text-splitters==0.2.4
-langsmith==0.1.110
-linkify-it-py==2.0.3
-maplibre @ git+https://github.com/eodaGmbH/py-maplibregl@f7a514d4db1d7df06f70c293be9e4f9f1bc23c12
-markdown-it-py==3.0.0
-MarkupSafe==2.1.5
-marshmallow==3.22.0
-matplotlib==3.9.2
-matplotlib-inline==0.1.7
-mdit-py-plugins==0.4.1
-mdurl==0.1.2
-multidict==6.0.5
-mypy-extensions==1.0.0
-narwhals==1.6.2
-openai==1.43.0
-orjson==3.10.7
-packaging==24.1
-parso==0.8.4
-parsy==2.1
-pexpect==4.9.0
-pillow==10.4.0
-plotly==5.24.0
-prompt-toolkit==3.0.36
-protobuf==5.28.0
-psygnal==0.11.1
-ptyprocess==0.7.0
-pure_eval==0.2.3
-pyarrow==17.0.0
-pyarrow-hotfix==0.6
-pydantic==2.8.2
-pydantic_core==2.20.1
-pydeck==0.9.1
-Pygments==2.18.0
-pyogrio==0.9.0
-pyparsing==3.1.4
-pyproj==3.6.1
-pyshp==2.3.1
-PySocks==1.7.1
-pystac==1.10.1
-pystac-client==0.8.3
-python-box==7.2.0
-python-dateutil==2.9.0.post0
-python-multipart==0.0.9
-pytz==2024.1
-PyYAML==6.0.2
-questionary==2.0.1
-referencing==0.35.1
-regex==2024.7.24
-requests==2.32.3
-rich==13.8.0
-rpds-py==0.20.0
-scooby==0.10.0
-shapely==2.0.6
-shiny==1.0.0
-six==1.16.0
-smmap==5.0.1
-sniffio==1.3.1
-soupsieve==2.6
-SQLAlchemy==2.0.33
-sqlglot==25.18.0
-stack-data==0.6.3
-starlette==0.38.2
-streamlit==1.38.0
-tenacity==8.5.0
-tiktoken==0.7.0
-toml==0.10.2
-toolz==0.12.1
-tornado==6.4.1
-tqdm==4.66.5
-traitlets==5.14.3
-traittypes==0.2.1
-typing-inspect==0.9.0
-typing_extensions==4.12.2
-tzdata==2024.1
-uc-micro-py==1.0.3
-urllib3==2.2.2
-uvicorn==0.30.6
-watchdog==4.0.2
-watchfiles==0.24.0
-wcwidth==0.2.13
-websockets==13.0.1
-whitebox==2.3.5
-whiteboxgui==2.3.0
-widgetsnbextension==4.0.13
-xyzservices==2024.9.0
-yarl==1.9.7
-overturemaps
-tippecanoe
-pandasai==2.3.0
-seaborn
-numpy==1.26.4
-leafmap
-pandas
+git+https://github.com/boettiger-lab/cng-python
+leafmap==0.53.3
+ibis-framework[duckdb]==10.3.1
+lonboard==0.10.4
+altair==5.3.0
+rasterio==1.3.10
+shapely==2.0.4
+shiny==0.10.2
+geoarrow-types==0.2.0
+geoarrow-pandas==0.1.1
+SQLAlchemy==2.0.35
+duckdb_engine== 0.15.0
+langchain==0.2.17
+langchain-community==0.2.19
+langchain-core==0.2.43
+langchain-openai==0.1.25
+streamlit==1.50.0
+minio==7.2.15
+duckdb==1.2.2